# Best Big Data Integration Platforms - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Big data integration platforms facilitate the integration and analysis of large-scale data across cloud applications and databases, helping companies manage and utilize enormous volumes of data collected from IoT endpoints, applications, and communications by creating structured pipelines that connect big data processing outputs to downstream systems. ### Core Capabilities of Big Data Integration Platforms To qualify for inclusion in the Big Data Integration category, a product must: - Integrate big data processing data to external sources - Ingest and distribute large sets of homogenous and heterogeneous data - Create a structured pipeline for big data management processes ### Common Use Cases for Big Data Integration Platforms Data engineering and IT teams use big data integration platforms to connect large-scale data environments with business applications and analytics systems. Common use cases include: - Integrating processed big data clusters with cloud applications and databases for downstream use - Simplifying the management of high-volume IoT and application data across distributed environments - Building structured data pipelines that enable consistent, reliable access to big data insights across the organization ### How Big Data Integration Platforms Differ from Other Tools Big data integration platforms typically require big data to have been processed prior to integration, working in conjunction with [big data processing and distribution software](https://www.g2.com/categories/big-data-processing-and-distribution) rather than replacing it. While some platforms provide [stream analytics](https://www.g2.com/categories/stream-analytics) capabilities, their primary focus is on data management and integration pipelines rather than real-time analytical processing. ### Insights from G2 on Big Data Integration Platforms Based on category trends on G2, pipeline flexibility and broad connector support for cloud applications and databases as standout capabilities. Improved data accessibility across systems and reduced integration complexity stand out as primary outcomes of adoption. ## Top Big Data Integration Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,144 reviews) | Serverless SQL analytics across Google-native data pipelines | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 2 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (845 reviews) | No-code ETL and multi-source data blending | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" | | 3 | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5.0 (707 reviews) | Multi-workload analytics with compute-storage separation | "[Snowflake Simplifies Data Management at Scale](https://www.g2.com/survey_responses/snowflake-review-12898129)" | | 4 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (749 reviews) | Cross-application data orchestration with low-code recipes | "[The Platform That Grew With Us](https://www.g2.com/survey_responses/workato-review-12941177)" | | 5 | [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) | 4.3/5.0 (370 reviews) | AWS-native analytical data warehousing at petabyte scale | "[Powerful Analytics Tool with Some Flexibility Limitations](https://www.g2.com/survey_responses/amazon-redshift-review-12781722)" | | 6 | [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) | 4.6/5.0 (95 reviews) | Azure-native ETL orchestration across hybrid data sources | "[Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users](https://www.g2.com/survey_responses/azure-data-factory-review-12746463)" | | 7 | [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) | 4.4/5.0 (373 reviews) | Low-code ETL pipeline building across hybrid environments | "[SnapLogic Snaps Make No-Code Data Integration Simple and Powerful](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13058311)" | | 8 | [Maia](https://www.g2.com/products/matillion-maia/reviews) | 4.5/5.0 (120 reviews) | — | "[Maia Makes Onboarding Fast with an Intuitive UI and Low-Code Pipelines](https://www.g2.com/survey_responses/maia-review-12942268)" | | 9 | [5X](https://www.g2.com/products/5x/reviews) | 4.9/5.0 (81 reviews) | End-to-end data stack consolidation with managed dbt orchestration | "[A reliable and scalable data partner](https://www.g2.com/survey_responses/5x-review-11889175)" | | 10 | [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) | 4.5/5.0 (135 reviews) | Managed Airflow orchestration with infrastructure-free pipeline delivery | "[Asro literally assists in data engineering work, making it easier and more productive.](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)" | ## G2 Grid® for Big Data Integration Platforms ![G2 Grid® for Big Data Integration Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/big-data-integration-platforms/grids.png?focus%5B%5D=6073&focus%5B%5D=989&focus%5B%5D=10938&focus%5B%5D=15884&focus%5B%5D=10898&focus%5B%5D=52204&focus%5B%5D=2975&focus%5B%5D=41374) Highlighted products: Google Cloud BigQuery, Alteryx, Snowflake, Workato, Amazon Redshift, Azure Data Factory, SnapLogic Intelligent Integration Platform (IIP), and Maia. Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-integration-platforms/grids.json?focus%5B%5D=google-cloud-bigquery&focus%5B%5D=alteryx&focus%5B%5D=snowflake&focus%5B%5D=workato&focus%5B%5D=amazon-redshift&focus%5B%5D=azure-data-factory&focus%5B%5D=snaplogic-intelligent-integration-platform-iip&focus%5B%5D=matillion-maia) ## How Many Big Data Integration Platforms Products Does G2 Track? **Total Products under this Category:** 129 ### Category Stats (Jul 2026) - **Average Rating**: 4.52/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Megaladata (+0.37%) - Among all products in this category, Megaladata recorded the largest rating increase compared to last month *Last updated: July 18, 2026* ## How Does G2 Rank Big Data Integration Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 9,500+ Authentic Reviews - 129+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Big Data Integration Platforms Is Best for Your Use Case? - **Leader:** [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - **Highest Performer:** [5X](https://www.g2.com/products/5x/reviews) - **Easiest to Use:** [5X](https://www.g2.com/products/5x/reviews) - **Top Trending:** [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) - **Best Free Software:** [Alteryx](https://www.g2.com/products/alteryx/reviews) --- **Sponsored** ### CData Connect AI CData Connect AI is the first managed MCP platform built for enterprise AI. It delivers live, governed access to hundreds of data sources—databases, SaaS apps, ERPs, and APIs—through a standardized relational interface. It closes three critical gaps: Connectivity with real-time, in-place data access and full read/write capabilities; Context through semantic intelligence so AI understands your business terms and data relationships; and Control via passthrough authentication, audit trails, and policy enforcement. The result is AI that can act on enterprise data—securely, accurately, and at scale. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1186&secure%5Bchosen_at%5D=2026-07-19T05%3A27%3A32Z&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=151045&secure%5Bresource_id%5D=1186&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fbig-data-integration-platforms%3Fopen_modal_url%3D%252Fproducts%252Fskyvia%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fbig-data-integration-platforms%2526source%253Dcategory&secure%5Btoken%5D=3e51ba072be85c5f4d732ef03de39ca6028d4c7e6c45da2d9d495924945ccfc7&secure%5Burl%5D=https%3A%2F%2Fwww.cdata.com%2Fai%2F&secure%5Burl_type%5D=paid_promos) --- ## What Are the Top-Rated Big Data Integration Platforms Products in 2026? ### 1. [AWS Lake Formation](https://www.g2.com/products/aws-lake-formation/reviews) AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organization. **Average Rating:** 4.4/5.0 **Total Reviews:** 32 **How Do G2 Users Rate AWS Lake Formation?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 8.3/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind AWS Lake Formation?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 49% Small-Business, 35% Enterprise #### What Are Recent G2 Reviews of AWS Lake Formation? **"[AWS Lake Formation review](https://www.g2.com/survey_responses/aws-lake-formation-review-9615526)"** **Rating:** 4.0/5.0 stars *— Anurag J.* [Read full review](https://www.g2.com/survey_responses/aws-lake-formation-review-9615526) --- **"[Simplifies Governance, Requires Experience for Setup](https://www.g2.com/survey_responses/aws-lake-formation-review-12863344)"** **Rating:** 4.0/5.0 stars *— Atharva P.* [Read full review](https://www.g2.com/survey_responses/aws-lake-formation-review-12863344) --- #### What Are G2 Users Discussing About AWS Lake Formation? - [Is AWS Lake Formation free?](https://www.g2.com/discussions/is-aws-lake-formation-free) - [How do I create AWS data lake?](https://www.g2.com/discussions/how-do-i-create-aws-data-lake) - [How does Lake formation work?](https://www.g2.com/discussions/how-does-lake-formation-work) - [What does AWS Lake formation do?](https://www.g2.com/discussions/what-does-aws-lake-formation-do) ### 2. [EazyDI](https://www.g2.com/products/eazydi/reviews) EazyDI is a modern, AI-powered data integration, data quality, and analytics enablement platform designed to help organizations quickly connect, trust, and activate their data across cloud, on-prem, and SaaS environments. EazyDI goes beyond traditional ETL and ELT by combining low-code data pipelines with built-in data quality, profiling, and AI-assisted intelligence. Teams can ingest data from databases, ERP systems, APIs, cloud platforms, and third-party applications, then cleanse, validate, harmonize, and enrich that data in a single platform before delivering it to analytics, reporting, or downstream systems. A core differentiator is Ask EazyDI, an AI-driven assistant that allows users to interact with their data pipelines, data quality results, and metadata using natural language. Ask EazyDI helps users understand pipeline behavior, identify data issues, explain transformations, surface anomalies, and accelerate troubleshooting without deep technical expertise. EazyDI includes robust data quality and governance capabilities, such as rule-based validations, anomaly detection, profiling, match and merge, and monitoring, ensuring data is accurate, complete, and trustworthy before it is consumed. AI-powered insights help proactively detect issues, reduce manual effort, and improve overall data reliability. With secure agent deployment, orchestration, scheduling, and real-time monitoring, EazyDI enables organizations to automate complex data workflows with minimal coding while maintaining enterprise-grade security and scalability. The platform is designed for data engineers, analysts, and business teams looking for a faster, simpler alternative to legacy integration tools. EazyDI helps organizations reduce integration complexity, improve data quality, accelerate analytics, and confidently scale their data and AI initiatives. **Average Rating:** 4.8/5.0 **Total Reviews:** 17 **How Do G2 Users Rate EazyDI?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Quality of Support:** 9.7/10 (Category avg: 8.9/10) - **Ease of Use:** 9.9/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind EazyDI?** - **Seller:** [EazyDI](https://www.g2.com/sellers/eazydi) - **HQ Location:** Dallas, US - **LinkedIn® Page:** https://www.linkedin.com/company/eazydi/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 47% Small-Business, 41% Mid-Market #### What Are EazyDI's Pros and Cons? **Pros:** - API Management (1 reviews) - Connectors (1 reviews) - Easy Setup (1 reviews) **Cons:** - UX Design (1 reviews) ### What Do G2 Reviewers Say About EazyDI? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy setup and integration** of EazyDI for connecting cloud sources and utilizing rich APIs. - Users find EazyDI's **easy setup and rich API access** beneficial for seamless cloud connections and whitelabeling. - Users find the **easy setup** of EazyDI highly beneficial for quick connections to cloud sources and APIs. **Cons:** - Users find the **UI/UX design clunky** at times, hoping for improvements in future updates. #### What Are Recent G2 Reviews of EazyDI? **"[Simplified Manufacturing Data Pipelines and Reporting Automation](https://www.g2.com/survey_responses/eazydi-review-12917025)"** **Rating:** 5.0/5.0 stars *— Larry C.* [Read full review](https://www.g2.com/survey_responses/eazydi-review-12917025) --- **"[Seamless Data Integration and Workflow Automation That Saves Us Time](https://www.g2.com/survey_responses/eazydi-review-12910365)"** **Rating:** 5.0/5.0 stars *— Phil H.* [Read full review](https://www.g2.com/survey_responses/eazydi-review-12910365) --- ### 3. [Adriel](https://www.g2.com/products/adriel/reviews) Adriel is a comprehensive AdOps platform designed to assist marketers in managing their advertising operations through no-code reporting and creative intelligence solutions. This platform caters to the needs of brands and agencies seeking to enhance their advertising strategies by providing tools that facilitate real-time data visualization and customizable dashboards. By integrating various data sources, Adriel enables users to optimize their campaigns, maximize their budgets, and ultimately drive growth. Targeted primarily at marketing professionals and agencies, Adriel serves as a vital resource for those looking to streamline their advertising efforts. The platform is particularly beneficial for teams that require a user-friendly interface to generate insights without needing extensive technical expertise. With its no-code approach, users can easily create reports and dashboards tailored to their specific needs, making it an ideal solution for both small businesses and large enterprises. One of the standout features of Adriel is its AI-driven insights, which provide users with actionable data to inform their decision-making processes. This capability allows marketers to identify trends and opportunities within their campaigns, ensuring that they can respond swiftly to changing market conditions. Additionally, the platform offers customizable widgets that enable users to visualize their data in ways that are most relevant to their objectives, enhancing the overall analytical experience. Adriel also excels in its ability to seamlessly map and blend data from various sources, allowing for a comprehensive view of campaign performance. This feature is crucial for marketers who need to consolidate information from different platforms and channels to gain a holistic understanding of their advertising efforts. Furthermore, the proactive alerts system keeps users informed of significant changes or anomalies in their data, enabling them to take immediate action when necessary. In essence, Adriel stands out in the business intelligence and reporting landscape by offering a powerful yet accessible solution for marketers. With its focus on automation, scalability, and hands-on support, it provides a robust framework for businesses looking to enhance their reporting capabilities and drive successful advertising campaigns. By leveraging Adriel's advanced features, brands can ensure they remain competitive in an ever-evolving digital marketplace. **Average Rating:** 4.5/5.0 **Total Reviews:** 42 **How Do G2 Users Rate Adriel?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10) - **Quality of Support:** 9.8/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Adriel?** - **Seller:** [Adriel](https://www.g2.com/sellers/adriel) - **Company Website:** https://www.adriel.com/en - **Year Founded:** 2017 - **HQ Location:** Austin, Texas - **Twitter:** @AdrielMarketing (343 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13746025 (57 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising - **Company Size:** 74% Small-Business, 10% Mid-Market #### What Are Adriel's Pros and Cons? **Pros:** - Ease of Use (13 reviews) - Reporting (11 reviews) - Analytics (8 reviews) - Insights (8 reviews) - Customer Support (7 reviews) **Cons:** - Missing Features (3 reviews) - Query Issues (3 reviews) - Complex Setup (2 reviews) - Difficult Setup (2 reviews) - Error Reporting (2 reviews) ### What Do G2 Reviewers Say About Adriel? *AI-generated summary from verified user reviews* **Pros:** - Users find Adriel's **ease of use** invaluable, facilitating efficient reporting and seamless data integration across platforms. - Users find Adriel's **easy reporting** features practical, saving time and enhancing their analytics tracking experience. - Users value the **seamless data integration** of Adriel, enhancing efficiency in tracking and analyzing marketing performance. - Users value the **streamlined reporting** of Adriel, which consolidates data for easier analysis and client communication. - Users value the **outstanding customer support** from Adriel, finding it easy to get help when needed. **Cons:** - Users find the **missing features** of Adriel challenging, complicating connections and tracking some essential metrics. - Users experience **query issues** with data accuracy and dashboard glitches, requiring manual checks and adjustments. - Users find the **complex setup** process cumbersome, leading to frustrations with connecting to various platforms and templates. - Users report a **difficult setup** , with lengthy processes and connection issues complicating their initial experience. - Users face **glitches and erroneous data** that can complicate the dashboard experience, requiring manual verification at times. #### What Are Recent G2 Reviews of Adriel? **"[Highly Customizable Reports with Powerful Calculated Metrics](https://www.g2.com/survey_responses/adriel-review-12994044)"** **Rating:** 4.0/5.0 stars *— Luke R.* [Read full review](https://www.g2.com/survey_responses/adriel-review-12994044) --- **"[Simplifies Lead Management with Seamless Google Integration](https://www.g2.com/survey_responses/adriel-review-12241629)"** **Rating:** 4.0/5.0 stars *— Joseph J.* [Read full review](https://www.g2.com/survey_responses/adriel-review-12241629) --- #### What Are G2 Users Discussing About Adriel? - [What is Adriel used for?](https://www.g2.com/discussions/what-is-adriel-used-for) - 1 comment, 1 upvote ### 4. [CData Connectors](https://www.g2.com/products/cdata-connectors/reviews) CData Drivers & Connectors is a data connectivity platform that provides standards-based drivers and connectors for real-time access to over 300 SaaS applications, databases, APIs, and big data sources. The solution enables organizations to integrate live data from any source into their existing BI tools, analytics platforms, ETL processes, and custom applications using familiar interfaces like ODBC, JDBC, ADO.NET, and Python without requiring data replication or complex custom coding. This data integration software serves enterprises, mid-market companies, and development teams who need to connect disparate data sources for business intelligence, reporting, analytics, application development, and data warehousing initiatives. Users can access live data from popular platforms including Salesforce, SharePoint, QuickBooks, SAP, NetSuite, Snowflake, Amazon Redshift, and MongoDB through a unified SQL interface that eliminates the technical complexity of API integration. Key Features and Benefits: • Universal Data Connectivity: Access 300+ data sources through a single platform with support for major database systems, cloud applications, NoSQL databases, and web APIs, reducing integration complexity and development time • Standards-Based Integration: Native support for ODBC, JDBC, ADO.NET, Python, Excel, SSIS, and PowerShell enables seamless integration with existing tools and applications without requiring specialized technical expertise • Live Data Access: Real-time connectivity ensures users always work with current information without data movement, replication, or synchronization delays, maintaining data accuracy and reducing storage costs • High-Performance Architecture: Optimized drivers feature dynamic metadata discovery, intelligent caching, query pushdown optimization, and parallel processing capabilities that deliver enterprise-grade performance for large-scale data operations The platform processes over 2.7 billion queries monthly across 7,000+ enterprise customers and has been recognized in the 2024 Gartner Magic Quadrant for Data Integration Tools, demonstrating proven scalability and market validation for mission-critical data connectivity requirements. **Average Rating:** 4.2/5.0 **Total Reviews:** 15 **How Do G2 Users Rate CData Connectors?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Quality of Support:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind CData Connectors?** - **Seller:** [CData](https://www.g2.com/sellers/cdata) - **Year Founded:** 2014 - **HQ Location:** Chapel Hill, NC - **Twitter:** @cdatasoftware (2,000 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (500 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Mid-Market, 33% Enterprise #### What Are CData Connectors's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Connectors (6 reviews) - Easy Setup (5 reviews) - Implementation Ease (3 reviews) - Integrations (3 reviews) **Cons:** - Expensive (5 reviews) - Connection Issues (3 reviews) - Poor Performance (3 reviews) - Data Inaccuracy (2 reviews) - Large Datasets Management (2 reviews) ### What Do G2 Reviewers Say About CData Connectors? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of CData Connectors, simplifying access to various data sources effortlessly. - Users laud CData Connectors for their **ease of use and efficiency** , facilitating seamless data integration across multiple platforms. - Users value the **easy setup** of CData Connectors, allowing for quick connections and efficient data integration. - Users value the **implementation ease** of CData Connectors, appreciating their straightforward setup and reliable configuration process. - Users commend the **seamless integration** of CData Connectors, enhancing connectivity across various platforms effortlessly. **Cons:** - Users find the pricing options for CData Connectors **expensive** , especially for smaller teams, causing frustration. - Users face **connection issues** with CData Connectors, affecting data population and automatic refresh in Power BI. - Users highlight **poor performance** issues, particularly with large datasets and complex queries, affecting integration reliability. - Users report **data inaccuracy** and issues with auto-refresh, impacting the reliability of CData Connectors. - Users find that CData Connectors need **performance tuning for large datasets** , as complex queries can slow down processing. #### What Are Recent G2 Reviews of CData Connectors? **"[Effortless Data Integration with Reliable Connections](https://www.g2.com/survey_responses/cdata-connectors-review-11986008)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/cdata-connectors-review-11986008) --- **"[Reliable Connectors with Potential for Cost Improvement](https://www.g2.com/survey_responses/cdata-connectors-review-12237134)"** **Rating:** 4.0/5.0 stars *— Rahul Kumar T.* [Read full review](https://www.g2.com/survey_responses/cdata-connectors-review-12237134) --- #### What Are G2 Users Discussing About CData Connectors? - [What is CData Query Federation Driver used for?](https://www.g2.com/discussions/what-is-cdata-query-federation-driver-used-for) - [What is CData Python Connectors used for?](https://www.g2.com/discussions/cdata-python-connectors-what-is-cdata-python-connectors-used-for) - [What is CData Driver Technologies used for?](https://www.g2.com/discussions/cdata-driver-technologies-what-is-cdata-driver-technologies-used-for) - [What is CData Python Connectors used for?](https://www.g2.com/discussions/what-is-cdata-python-connectors-used-for) - [What is CData Driver Technologies used for?](https://www.g2.com/discussions/what-is-cdata-driver-technologies-used-for) ### 5. [CData Connect AI](https://www.g2.com/products/cdata-connect-ai/reviews) CData Connect AI is the first managed MCP platform built for enterprise AI. It delivers live, governed access to hundreds of data sources—databases, SaaS apps, ERPs, and APIs—through a standardized relational interface. It closes three critical gaps: Connectivity with real-time, in-place data access and full read/write capabilities; Context through semantic intelligence so AI understands your business terms and data relationships; and Control via passthrough authentication, audit trails, and policy enforcement. The result is AI that can act on enterprise data—securely, accurately, and at scale. **Average Rating:** 4.6/5.0 **Total Reviews:** 26 **How Do G2 Users Rate CData Connect AI?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Quality of Support:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 9.1/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind CData Connect AI?** - **Seller:** [CData](https://www.g2.com/sellers/cdata) - **Company Website:** https://cdata.com - **Year Founded:** 2014 - **HQ Location:** Chapel Hill, NC - **Twitter:** @cdatasoftware (2,000 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (500 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 52% Mid-Market, 26% Enterprise #### What Are CData Connect AI's Pros and Cons? **Pros:** - Connectors (3 reviews) - User Interface (3 reviews) - Ease of Use (2 reviews) - Easy Integrations (2 reviews) - Automation (1 reviews) **Cons:** - Poor Customer Support (2 reviews) - Learning Curve (1 reviews) - Performance Issues (1 reviews) - Poor Performance (1 reviews) ### What Do G2 Reviewers Say About CData Connect AI? *AI-generated summary from verified user reviews* **Pros:** - Users value the **user-friendly interface** of CData Connect AI, enabling non-technical users to create dashboards independently. - Users appreciate the **intuitive and user-friendly interface** of CData Connect, making navigation effortless and efficient. - Users highlight the **ease of use** of CData Connect AI, appreciating its user-friendly interface and seamless integration. - Users appreciate the **easy integrations** of CData Connect AI, finding it seamless to connect with various products. - Users value the **automation capabilities** of CData Connect AI, empowering them to create dashboards independently. **Cons:** - Users find the **customer support response time lacking** , causing frustration during their experience with CData Connect AI. - Users find the **learning curve challenging** , as initial navigation of options can be overwhelming. - Users have faced **occasional performance issues** with CData Connect AI, impacting their overall experience. - Users often face **poor performance** , leading to frustration and delays in their experience with CData Connect AI. #### What Are Recent G2 Reviews of CData Connect AI? **"[Making AI Actually Useful with Live Data Access](https://www.g2.com/survey_responses/cdata-connect-ai-review-12718851)"** **Rating:** 5.0/5.0 stars *— Lavina W.* [Read full review](https://www.g2.com/survey_responses/cdata-connect-ai-review-12718851) --- **"[Powerful Connectors and SQL Access Make CData Connect AI a Standout](https://www.g2.com/survey_responses/cdata-connect-ai-review-12604050)"** **Rating:** 5.0/5.0 stars *— ravi m.* [Read full review](https://www.g2.com/survey_responses/cdata-connect-ai-review-12604050) --- ### 6. [Dataddo](https://www.g2.com/products/dataddo/reviews) Dataddo is the enterprise data integration platform built to eliminate the operational ownership risk of data movement. Acting as the connective backbone of your organization, we provide a fully managed connective layer that moves data from any SaaS, database, or file source to any destination - including AI agents. Our platform automatically handles API changes, schema drift, and sensitive data protection, providing full, granular visibility into every data flow across complex environments, including on-premise, hybrid, and cloud infrastructures. By treating data movement as mission-critical infrastructure rather than a project, Dataddo enables your engineering teams to deploy with total reliability, allowing them to focus on high-value AI outcomes instead of ongoing pipeline maintenance. **Average Rating:** 4.7/5.0 **Total Reviews:** 182 **How Do G2 Users Rate Dataddo?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.9/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Dataddo?** - **Seller:** [Dataddo](https://www.g2.com/sellers/dataddo) - **Year Founded:** 2015 - **HQ Location:** Praha 7, CZ - **Twitter:** @dataddo (226 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dataddo/ (30 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 52% Small-Business, 40% Mid-Market #### What Are Dataddo's Pros and Cons? **Pros:** - Connectivity (2 reviews) - Customer Support (2 reviews) - Customization (2 reviews) - Data Management (2 reviews) - Ease of Use (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Setup (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) - Limitations (1 reviews) ### What Do G2 Reviewers Say About Dataddo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless connectivity** of Dataddo, enabling efficient data management from diverse sources with ease. - Users commend Dataddo's **exceptional customer support** , highlighting prompt responses and tailored solutions from the dedicated team. - Users value the **customization options** in Dataddo, allowing tailored data management to meet diverse business needs. - Users commend the **ease of use and flexibility** of Dataddo for managing data effortlessly across different sources. - Users appreciate the **ease of use** of Dataddo, enabling seamless data management without extensive technical knowledge. **Cons:** - Users find **advanced configurations less intuitive** , suggesting that better guidance could enhance the onboarding experience. - Users find the **complex setup** of Dataddo to be unintuitive, wishing for clearer guidance during onboarding. - Users find that the **learning curve can be steep** , with some configurations lacking intuitive guidance and documentation. - Users find **learning difficulties** with Dataddo due to initial confusion with advanced configurations and inadequate guidance. - Users find that **advanced configurations can be unintuitive** , lacking clear guidance which hampers the onboarding experience. #### What Are Recent G2 Reviews of Dataddo? **"[L2 support from DataDDO](https://www.g2.com/survey_responses/dataddo-review-10742502)"** **Rating:** 5.0/5.0 stars *— Alex E.* [Read full review](https://www.g2.com/survey_responses/dataddo-review-10742502) --- **"[Simple tool to stream data from AWS RDS to GCP BigQuery](https://www.g2.com/survey_responses/dataddo-review-10512581)"** **Rating:** 5.0/5.0 stars *— Dana B.* [Read full review](https://www.g2.com/survey_responses/dataddo-review-10512581) --- #### What Are G2 Users Discussing About Dataddo? - [What is Dataddo used for?](https://www.g2.com/discussions/what-is-dataddo-used-for) - 1 comment, 1 upvote ### 7. [Y42](https://www.g2.com/products/y42-y42/reviews) Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analytics and AI applications. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions reliably and efficiently. **Average Rating:** 4.9/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Y42?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Quality of Support:** 10.0/10 (Category avg: 8.9/10) - **Ease of Use:** 9.4/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Y42?** - **Seller:** [Y42](https://www.g2.com/sellers/y42-f0288f79-5826-460d-ba84-59d0f8b2f3b3) - **Year Founded:** 2020 - **HQ Location:** Berlin, DE - **Twitter:** @y42dotcom (276 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64543299 (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 52% Small-Business, 38% Mid-Market #### What Are Recent G2 Reviews of Y42? **"[Great integrated cloud platform with smooth workflows to build and run data pipelines](https://www.g2.com/survey_responses/y42-review-8532682)"** **Rating:** 5.0/5.0 stars *— Max P.* [Read full review](https://www.g2.com/survey_responses/y42-review-8532682) --- **"[dbt on steroids](https://www.g2.com/survey_responses/y42-review-8967021)"** **Rating:** 5.0/5.0 stars *— Pierre Z.* [Read full review](https://www.g2.com/survey_responses/y42-review-8967021) --- #### What Are G2 Users Discussing About Y42? - [What is Y42 used for?](https://www.g2.com/discussions/what-is-y42-used-for) ### 8. [CData Virtuality](https://www.g2.com/products/cdata-virtuality/reviews) CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe or Crédit Agricole use CData Virtuality to build modern data architectures that meet today’s and tomorrow’s business requirements. Imprint: https://www.cdata.com/company/legal/impressum/ Privacy notice: https://www.cdata.com/company/legal/privacy/ **Average Rating:** 4.7/5.0 **Total Reviews:** 20 **How Do G2 Users Rate CData Virtuality?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10) - **Quality of Support:** 9.8/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind CData Virtuality?** - **Seller:** [CData](https://www.g2.com/sellers/cdata) - **Year Founded:** 2014 - **HQ Location:** Chapel Hill, NC - **Twitter:** @cdatasoftware (2,000 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (500 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 65% Mid-Market, 35% Small-Business #### What Are Recent G2 Reviews of CData Virtuality? **"[Great ETL tool](https://www.g2.com/survey_responses/cdata-virtuality-review-9525797)"** **Rating:** 4.5/5.0 stars *— Pierre B.* [Read full review](https://www.g2.com/survey_responses/cdata-virtuality-review-9525797) --- **"[Powerful Business Intelligence Tool](https://www.g2.com/survey_responses/cdata-virtuality-review-8933588)"** **Rating:** 4.5/5.0 stars *— Stefan Z.* [Read full review](https://www.g2.com/survey_responses/cdata-virtuality-review-8933588) --- #### What Are G2 Users Discussing About CData Virtuality? - [What is Data Virtuality used for?](https://www.g2.com/discussions/what-is-data-virtuality-used-for) ### 9. [Qlik Talend Cloud](https://www.g2.com/products/qlik-talend-cloud/reviews) Qlik Talend Cloud offers extensive data integration capabilities plus data quality and governance. Available in Starter, Standard, Premium, and Enterprise editions, it provides features such as bulk and incremental replication, log-based CDC, no-code/low-code/pro-code data pipeline development, a data products catalog, and more . Qlik Talend Cloud can automate the design, creation and continuous update of data warehouses, lakehouses, and AI-ready data lakes on any cloud platform. It offers real-time or near-real-time data integration across heterogeneous environments, supporting critical workloads like fraud detection and AI inference. Qlik Talend Cloud has a scalable 'go-as-you-grow' approach, and supports multiple data integration patterns. Globally available on cloud infrastructure, this unified platform is designed to provide a trusted data foundation for AI and support various data integration needs across organizations of all sizes. **Average Rating:** 4.6/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Qlik Talend Cloud?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **Quality of Support:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Qlik Talend Cloud?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 38% Small-Business #### What Are Qlik Talend Cloud's Pros and Cons? **Pros:** - API Integration (1 reviews) - Automation (1 reviews) - Cloud Computing (1 reviews) - Data Management (1 reviews) - Data Pipelining (1 reviews) ### What Do G2 Reviewers Say About Qlik Talend Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **API integration** of Qlik Talend Cloud, enabling seamless data ingestion with minimal infrastructure setup. - Users value the **automation capabilities** of Qlik Talend Cloud for effortlessly building and scheduling data ingestion pipelines. - Users appreciate the **seamless cloud-based data ingestion** capabilities of Qlik Talend Cloud, simplifying their pipeline management. - Users appreciate the **ease of building Data Ingestion pipelines** with Qlik Talend Cloud, simplifying infrastructure setup. - Users value the **ease of building data ingestion pipelines** in Qlik Talend Cloud without extra infrastructure requirements. #### What Are Recent G2 Reviews of Qlik Talend Cloud? **"[As a startup - upsolver offers a great platform to transfer , manage and transform data at ease!](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042)"** **Rating:** 5.0/5.0 stars *— Ido A.* [Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042) --- **"[Great Tool to Setup Data Ingestion pipeline](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211) --- ### 10. [Keboola](https://www.g2.com/products/keboola/reviews) Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance. **Average Rating:** 4.6/5.0 **Total Reviews:** 135 **How Do G2 Users Rate Keboola?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.5/10 (Category avg: 8.9/10) - **Ease of Use:** 8.6/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Keboola?** - **Seller:** [Keboola](https://www.g2.com/sellers/keboola) - **Company Website:** https://www.keboola.com - **Year Founded:** 2008 - **HQ Location:** Prague - **Twitter:** @keboola (2,004 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/keboola/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Data Engineer - **Top Industries:** Information Technology and Services, Marketing and Advertising - **Company Size:** 64% Mid-Market, 21% Small-Business #### What Are Keboola's Pros and Cons? **Pros:** - Ease of Use (35 reviews) - Features (27 reviews) - Data Management (26 reviews) - Integrations (26 reviews) - Customer Support (25 reviews) **Cons:** - Learning Curve (14 reviews) - Complexity (13 reviews) - Steep Learning Curve (11 reviews) - Data Management (9 reviews) - UX Improvement (9 reviews) ### What Do G2 Reviewers Say About Keboola? *AI-generated summary from verified user reviews* **Pros:** - Users find Keboola's platform to be **simple and easy to use** , making data management accessible for everyone. - Users value the **user-friendly data management** capabilities of Keboola, enhancing accessibility for non-technical individuals. - Users praise the **intuitive setup for data flows** in Keboola, enhancing productivity with seamless data handling. - Users value the **extensive integrations** of Keboola, enabling seamless data management across various platforms and tools. - Users praise Keboola for its **incredible customer support** , providing fast and helpful assistance to enhance their experience. **Cons:** - Users find the **learning curve steep** , often requiring developer assistance and causing confusion with component navigation. - Users struggle with the **complexity** of Keboola, facing steep learning curves and inconsistent documentation that hinders usability. - Users face a **steep learning curve** with Keboola, often needing external help to navigate its complexities effectively. - Users find the **interface difficult to navigate** , making data management more complex and error-prone than expected. - Users find the **user interface overwhelming** and not intuitive, resulting in a challenging learning experience for newcomers. #### What Are Recent G2 Reviews of Keboola? **"[Usefull tool with good people behind it](https://www.g2.com/survey_responses/keboola-review-13121874)"** **Rating:** 4.5/5.0 stars *— Verified User in Wholesale* [Read full review](https://www.g2.com/survey_responses/keboola-review-13121874) --- **"[Streamlines Data Prep with Some Learning Curves](https://www.g2.com/survey_responses/keboola-review-9741142)"** **Rating:** 5.0/5.0 stars *— Vojta F.* [Read full review](https://www.g2.com/survey_responses/keboola-review-9741142) --- #### What Are G2 Users Discussing About Keboola? - [What are the benefits and challenges of using Keboola for data integration, and what do you recommend for new users?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-keboola-for-data-integration-and-what-do-you-recommend-for-new-users) ### 11. [Datacoves](https://www.g2.com/products/datacoves/reviews) Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution. **Average Rating:** 4.8/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Datacoves?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10) - **Quality of Support:** 9.4/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Datacoves?** - **Seller:** [Datacoves Inc](https://www.g2.com/sellers/datacoves-inc) - **Year Founded:** 2021 - **HQ Location:** Thousand Oaks, California - **Twitter:** @datacoves (475 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datacoves/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 26% Mid-Market #### What Are Datacoves's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Features (5 reviews) - Integrations (5 reviews) - Data Engineering (4 reviews) - Easy Integrations (4 reviews) **Cons:** - Alert Overload (1 reviews) - Dashboard Issues (1 reviews) - Data Limitations (1 reviews) - Dependency Issues (1 reviews) - Difficult Learning (1 reviews) ### What Do G2 Reviewers Say About Datacoves? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Datacoves, praising its straightforward setup and supportive implementation process. - Users appreciate the **well-thought-out development process** of Datacoves, which enhances productivity and teamwork in data engineering. - Users value the **seamless integrations** of Datacoves, enhancing collaboration and simplifying complex data workflows effectively. - Users appreciate the **best-in-breed data engineering tools** of Datacoves, enhancing collaboration and improving data quality effectively. - Users appreciate the **easy integrations** of Datacoves, streamlining collaboration and improving overall data pipeline efficiency. **Cons:** - Users feel the **alert overload** can lead to confusion and strain on customer support during service failures. - Users find the **lack of dashboard integrations** limits their ability to monitor activity and manage resources effectively. - Users express concerns about **being locked into specific ELT tools** , which may limit flexibility for some. - Some users feel **locked into their ELT tools** , which may limit flexibility and cause frustration. - Users note the **difficult learning** curve due to the need for extensive customization with Datacoves. #### What Are Recent G2 Reviews of Datacoves? **"[Great Developer Experience with Responsive Support](https://www.g2.com/survey_responses/datacoves-review-12882735)"** **Rating:** 5.0/5.0 stars *— Anthony L.* [Read full review](https://www.g2.com/survey_responses/datacoves-review-12882735) --- **"[Datacoves Delivers Stable, Managed Airflow with Seamless dbt + Snowflake Integration](https://www.g2.com/survey_responses/datacoves-review-13115559)"** **Rating:** 5.0/5.0 stars *— Alex S.* [Read full review](https://www.g2.com/survey_responses/datacoves-review-13115559) --- ### 12. [Cloudera](https://www.g2.com/products/cloudera/reviews) Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10) - **Quality of Support:** 8.0/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,442 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### What Do G2 Reviewers Say About Cloudera? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience. - Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease. - Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection. - Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience. - Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless. **Cons:** - Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners. - Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization. - Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners. - Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution. - Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support. #### What Are Recent G2 Reviews of Cloudera? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) --- #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### 13. [SAS Data Management](https://www.g2.com/products/sas-data-management/reviews) SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes. **Average Rating:** 4.1/5.0 **Total Reviews:** 97 **How Do G2 Users Rate SAS Data Management?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10) - **Quality of Support:** 7.9/10 (Category avg: 8.9/10) - **Ease of Use:** 7.3/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind SAS Data Management?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Higher Education, Research - **Company Size:** 51% Enterprise, 26% Small-Business #### What Are SAS Data Management's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Analytics (5 reviews) - Data Cleaning (4 reviews) - Data Quality (4 reviews) - Data Management (3 reviews) **Cons:** - Expensive (7 reviews) - Not User-Friendly (3 reviews) - Slow Performance (3 reviews) - Training Required (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About SAS Data Management? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of use** of SAS Data Management instrumental for effective data preparation and transformation. - Users value the **user-friendly data transformation tools** in SAS Data Management, simplifying data preparation significantly. - Users value the **robust data cleaning tools** in SAS Data Management, enhancing accuracy and consistency throughout analytics projects. - Users find that **SAS Data Quality streamlines data preparation** , ensuring business-ready analytics and improving overall data standards. - Users value the **strong data transformation capabilities** of SAS Data Management, ensuring effective data manipulation and quality control. **Cons:** - Users find the **expensive cost** of SAS Data Management to be a major barrier to access and integration. - Users find SAS Data Management to have a **not user-friendly interface** , making navigation difficult for less experienced individuals. - Users face **slow performance** when handling large datasets, causing frustration and increased time consumption for reports. - Users find that **training is required** to effectively navigate the complexities of SAS Data Management, especially for non-technical individuals. - Users find the **complexity** of SAS Data Management challenging, requiring advanced statistical knowledge to navigate effectively. #### What Are Recent G2 Reviews of SAS Data Management? **"[Effortless Data Proficiency Management](https://www.g2.com/survey_responses/sas-data-management-review-12704573)"** **Rating:** 5.0/5.0 stars *— Han L.* [Read full review](https://www.g2.com/survey_responses/sas-data-management-review-12704573) --- **"[Sas Data integration studio review](https://www.g2.com/survey_responses/sas-data-management-review-11499859)"** **Rating:** 5.0/5.0 stars *— sai bharath M.* [Read full review](https://www.g2.com/survey_responses/sas-data-management-review-11499859) --- #### What Are G2 Users Discussing About SAS Data Management? - [What is SAS Data Governance used for?](https://www.g2.com/discussions/what-is-sas-data-governance-used-for) - [What is SAS Scoring Accelerator used for?](https://www.g2.com/discussions/what-is-sas-scoring-accelerator-used-for) ### 14. [Syncari](https://www.g2.com/products/syncari/reviews) Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexity of multi-agent environments and AI-driven operations, Syncari automates core data management workflows—from data modeling and lineage to validation and remediation—without needing heavy IT resources. At the heart of Syncari is its patented multi-directional sync, delivering real-time, bi-directional data consistency across CRMs, ERPs, cloud platforms, and data warehouses—without custom code or middleware. Syncari ensures continuously clean, synchronized, and governed data flows throughout your enterprise and is always ready for analytics, AI models, and operational use. Whether you're powering AI copilots, managing complex entity relationships, or standardizing data pipelines, Syncari helps you move beyond just managing data—to activating it. Why Syncari? -Syncari Agentic MDM™: Designed for orchestrating trusted data across AI agents and teams -Patented Multi-Directional Sync: Real-time updates across all connected platforms -Agentic Ops: Schema sync, field mapping, DQ enforcement, and remediation -Entity Resolution: Consolidate and deduplicate records across domains -Composable + Cloud-First: Built to plug into your existing SaaS and data stack -Low-Code / No-Code: Accessible to IT, data teams, RevOps, and business users alike Core Capabilities Unify, Sync, Automate, Activate, Model, Catalog, Lineage, Transform, Standardize, Verify, Remediate, Observe, Report, Consume Top Use Cases - Customer Master: Build a unified customer profile across GTM systems - Product Master: Align and enrich product data across eCommerce and ERP - Hierarchy Master: Govern legal entities, accounts, and territories - Analytics MDM: Push AI-ready data into BI tools and ML workflows - Data Products: Operationalize governed datasets for internal and external use - Data Quality: Automatically identify, validate, standardize, and remediate data issues across systems - MDM for Snowflake: Sync and manage master data directly inside Snowflake - MDM for GCP: Connect, unify, and activate trusted data in BigQuery and GCP tools - MDM for Your Data Warehouse: Maintain clean, governed, query-ready data across your cloud warehouse infrastructure -MCP Server for your unified data **Average Rating:** 4.8/5.0 **Total Reviews:** 41 **How Do G2 Users Rate Syncari?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.9/10 (Category avg: 8.9/10) - **Ease of Use:** 7.9/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Syncari?** - **Seller:** [Syncari](https://www.g2.com/sellers/syncari) - **Year Founded:** 2019 - **HQ Location:** Newark, California - **Twitter:** @syncari (236 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/syncari/ (51 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Mid-Market, 44% Small-Business #### What Are Recent G2 Reviews of Syncari? **"[Nicely Packaged Versatility and POWER](https://www.g2.com/survey_responses/syncari-review-9566623)"** **Rating:** 5.0/5.0 stars *— John M.* [Read full review](https://www.g2.com/survey_responses/syncari-review-9566623) --- **"[Good Experience using Syncari as an Integration Architect](https://www.g2.com/survey_responses/syncari-review-9550011)"** **Rating:** 5.0/5.0 stars *— MUSTAPHA I.* [Read full review](https://www.g2.com/survey_responses/syncari-review-9550011) --- #### What Are G2 Users Discussing About Syncari? - [What is Syncari used for?](https://www.g2.com/discussions/what-is-syncari-used-for) - 1 comment ### 15. [Pentaho Data Integration](https://www.g2.com/products/pentaho-data-integration/reviews) More than just ETL (Extract, Transform, Load), Pentaho Data Integration is a codeless data orchestration tool that blends diverse data sets into a single source of truth as a basis for analysis and reporting. Effortlessly managed in a drag-and-drop graphical interface, so you can easily track where it's coming from, where it's going and how it's transforming. Develop and maintain pipeline efficiency Scalability, simplicity, and self-service Leverage quality and lineage inputs for enhanced data observability and management **Average Rating:** 4.3/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Pentaho Data Integration?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Quality of Support:** 7.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.6/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Pentaho Data Integration?** - **Seller:** [Pentaho](https://www.g2.com/sellers/pentaho-d1c9c8d5-c72c-42b5-967d-4a0985833684) - **Year Founded:** 2004 - **HQ Location:** Santa Clara, CA - **LinkedIn® Page:** https://www.linkedin.com/company/pentaho/ (141 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 41% Enterprise, 41% Mid-Market #### What Are Pentaho Data Integration's Pros and Cons? **Pros:** - Features (2 reviews) - API Integration (1 reviews) - Cloud Integration (1 reviews) - Communication (1 reviews) - Connectivity (1 reviews) **Cons:** - Performance Issues (2 reviews) - Learning Curve (1 reviews) - Poor Performance (1 reviews) - Slow Data Loading (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About Pentaho Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** and **comprehensive functionalities** of Pentaho Data Integration for ETL processes. - Users appreciate the **fast and efficient API integration** of Pentaho Data Integration for seamless data transfer and reporting. - Users value the **fast data transfer and versatile reporting** capabilities of Pentaho Data Integration, enhancing their ETL processes. - Users value the **effective communication** capabilities of Pentaho Data Integration, streamlining data handling across various sources. - Users appreciate the **fast and versatile connectivity** of Pentaho Data Integration across various data sources. **Cons:** - Users report facing **performance issues** with Pentaho Data Integration, especially when handling large data volumes, causing slow job modification. - Users find the **learning curve steep** , citing slow modifications and a need for better tutorials from Pentaho. - Users experience **performance issues** with Pentaho Data Integration when handling large volumes of data, affecting its efficiency. - Users find the **slow data loading** in Pentaho Data Integration frustrating, impacting efficiency and requiring additional tutorials. - Users find that while Pentaho jobs run fast, **modifying jobs is slow** and requires additional tutorial support. #### What Are Recent G2 Reviews of Pentaho Data Integration? **"[One the best ETL tool](https://www.g2.com/survey_responses/pentaho-data-integration-review-11510214)"** **Rating:** 4.5/5.0 stars *— Dhiraj D.* [Read full review](https://www.g2.com/survey_responses/pentaho-data-integration-review-11510214) --- **"[Totally worth it!!](https://www.g2.com/survey_responses/pentaho-data-integration-review-5473780)"** **Rating:** 4.5/5.0 stars *— Karthick V.* [Read full review](https://www.g2.com/survey_responses/pentaho-data-integration-review-5473780) --- ### 16. [Integrate.io](https://www.g2.com/products/integrate-io/reviews) Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics **Average Rating:** 4.3/5.0 **Total Reviews:** 211 **How Do G2 Users Rate Integrate.io?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Quality of Support:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 8.4/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Integrate.io?** - **Seller:** [Integrate.io](https://www.g2.com/sellers/integrate-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @Integrateio (4,285 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709076/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Mid-Market, 32% Small-Business #### What Are Integrate.io's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Customer Support (7 reviews) - Easy Integrations (7 reviews) - Automation (5 reviews) - Easy Setup (5 reviews) **Cons:** - Learning Difficulty (3 reviews) - Limited Integrations (3 reviews) - Poor Documentation (3 reviews) - API Issues (2 reviews) - API Limitations (2 reviews) ### What Do G2 Reviewers Say About Integrate.io? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** and flexibility of Integrate.io, making it simple to manage diverse data workflows. - Users value the **responsive and knowledgeable customer support** from Integrate.io, enhancing their overall experience with the platform. - Users commend the **easy integrations** of Integrate.io, appreciating its seamless connection with diverse data sources. - Users value the **automation features** of Integrate.io for its user-friendly design and seamless workflow scheduling. - Users find the **easy setup** of Integrate.io intuitive, allowing quick onboarding and efficient data management for teams. **Cons:** - Users note a **learning difficulty** with advanced transformations, requiring time and effort to fully leverage the tool. - Users find the **limited integrations** with sources and features hinder flexibility and ease of use in complex setups. - Users find **poor documentation** frustrating, particularly regarding API integration and complex transformation setups. - Users highlight the need for **better API documentation** to enhance integration and overall usability of Integrate.io. - Users need more **detailed API documentation** to improve integration and usage of Integrate.io's features effectively. #### What Are Recent G2 Reviews of Integrate.io? **"[Finally stopped worrying about our data pipelines, and that's saying a lot](https://www.g2.com/survey_responses/integrate-io-review-12398331)"** **Rating:** 5.0/5.0 stars *— Abe D.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12398331) --- **"[Effortless Setup, Intuitive Use, and Reliable Performance](https://www.g2.com/survey_responses/integrate-io-review-12841374)"** **Rating:** 5.0/5.0 stars *— Craig P.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12841374) --- #### What Are G2 Users Discussing About Integrate.io? - [What is Integrate.io used for?](https://www.g2.com/discussions/what-is-integrate-io-used-for) ### 17. [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud. The scalable platform provides extended metadata management and enterprise connectivity. It integrates heterogeneous data, including big data at rest (Hadoop-based) or big data in motion (stream-based), on both distributed and mainframe platforms. It supports IBM Db2® Z and Db2 for z/OS®, applies workload and business rules, and integrates real-time data in an easy to deploy, scalable platform. Learn More: https://ibm.co/2NpHEtZ **Average Rating:** 4.0/5.0 **Total Reviews:** 62 **How Do G2 Users Rate IBM DataStage?** - **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 8.9/10) - **Quality of Support:** 7.7/10 (Category avg: 8.9/10) - **Ease of Use:** 7.9/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.1/10 (Category avg: 8.5/10) **Who Is the Company Behind IBM DataStage?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Banking, Information Technology and Services - **Company Size:** 77% Enterprise, 15% Mid-Market #### What Are IBM DataStage's Pros and Cons? **Pros:** - Customization (1 reviews) - Data Pipelining (1 reviews) - Drag (1 reviews) - Ease of Use (1 reviews) - Efficiency Improvement (1 reviews) **Cons:** - Complex Processes (1 reviews) - Dependency Issues (1 reviews) - Expensive (1 reviews) - Lack of Real-Time Data (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About IBM DataStage? *AI-generated summary from verified user reviews* **Pros:** - Users value the **high degree of customization** in DataStage, enabling tailored solutions for diverse data processing needs. - Users praise the **high-performance pipelining** of DataStage for efficiently processing massive data volumes with ease. - Users value the **high-performance parallel processing engine** of DataStage, enabling efficient handling of massive data volumes. - Users appreciate the **ease of use** in IBM DataStage, thanks to its intuitive drag-and-drop interface for complex ETL tasks. - Users value the **efficiency improvement** of IBM DataStage for processing massive data volumes swiftly and reliably. **Cons:** - Users highlight the **complex processes** in IBM DataStage, often finding it cumbersome and difficult to manage effectively. - Users often face **dependency issues** due to complicated licensing and the challenges of vendor lock-in with IBM DataStage. - Users highlight the **expensive cost** of IBM DataStage, making it challenging for small-to-medium businesses to adopt. - Users criticize the **lack of real-time data** capabilities in IBM DataStage, hindering agile data operations and streaming processes. - Users report a **steep learning curve** with IBM DataStage, making it challenging for new hires to adapt quickly. #### What Are Recent G2 Reviews of IBM DataStage? **"[Unmatched Performance and Reliability for Enterprise Data Workloads](https://www.g2.com/survey_responses/ibm-datastage-review-12124677)"** **Rating:** 5.0/5.0 stars *— Poojasree M.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-12124677) --- **"[Blazingly Fast, Full-Featured ETL tool with Flexible Data Connections](https://www.g2.com/survey_responses/ibm-datastage-review-10327160)"** **Rating:** 4.0/5.0 stars *— Steve L.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-10327160) --- #### What Are G2 Users Discussing About IBM DataStage? - [What is IBM InfoSphere DataStage used for?](https://www.g2.com/discussions/what-is-ibm-infosphere-datastage-used-for) - [How can I download IBM InfoSphere DataStage?](https://www.g2.com/discussions/how-can-i-download-ibm-infosphere-datastage) - [What is InfoSphere Information Server?](https://www.g2.com/discussions/what-is-infosphere-information-server) - [What is DataStage tool?](https://www.g2.com/discussions/what-is-datastage-tool) ### 18. [Riva](https://www.g2.com/products/riva/reviews) Empowering Trusted Relationships in Financial Services Riva is the trusted partner for organizations seeking to build stronger client relationships while streamlining operations. Our innovative solutions empower advisors to deliver personalized, compliant experiences at scale. With seamless CRM integration, real-time client insights, and advanced data governance, Riva ensures every interaction counts. Serving financial services and other data-sensitive industries for over 15 years, we help businesses safeguard their clients, nurture lifelong relationships, and reclaim valuable time. Join the 650+ enterprises worldwide who trust Riva to transform how they engage with their customers. https://rivaengine.com/ **Average Rating:** 4.1/5.0 **Total Reviews:** 106 **How Do G2 Users Rate Riva?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Quality of Support:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 8.4/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Riva?** - **Seller:** [Omni Technology Solutions](https://www.g2.com/sellers/omni-technology-solutions) - **Company Website:** https://www.rivacrmintegration.com - **Year Founded:** 2008 - **HQ Location:** Edmonton, Alberta - **Twitter:** @crm_integration (6 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/278719/ (125 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Banking - **Company Size:** 41% Mid-Market, 31% Small-Business #### What Are Riva's Pros and Cons? **Pros:** - Accuracy (3 reviews) - Time-saving (3 reviews) - Automation (2 reviews) - CRM Integration (2 reviews) - Customer Support (2 reviews) **Cons:** - AI Integration (1 reviews) - AI Limitations (1 reviews) - Automation Difficulty (1 reviews) - Automation Issues (1 reviews) - Complexity (1 reviews) ### What Do G2 Reviewers Say About Riva? *AI-generated summary from verified user reviews* **Pros:** - Users value the **accuracy** of Riva, noting its reliable data processing and seamless CRM integration. - Users value Riva for its **time-saving automation** , enhancing productivity through seamless integration and reliable data synchronization. - Users highlight Riva's **automation capabilities** that streamline workflows and enhance productivity through seamless data integration. - Users benefit from the **seamless CRM integration** of Riva, enhancing productivity through reliable data synchronization. - Users commend Riva's **expert customer support** , noting its responsiveness and high level of expertise in resolving issues. **Cons:** - Users dislike the **automatic integration** , which hinders their ability to perform manual tasks when necessary. - Users find the **automatic nature** of Riva limiting, making manual control difficult when needed. - Users express frustration with the **automation difficulty** of Riva, finding it challenging to perform manual tasks when needed. - Users find the **automation issues** of Riva frustrating, as it limits manual control when needed. - Users find the **installation process complicated** , often needing support from Riva to complete it successfully. #### What Are Recent G2 Reviews of Riva? **"[Riva Platform User Experience Review](https://www.g2.com/survey_responses/riva-review-11051978)"** **Rating:** 5.0/5.0 stars *— Danny H.* [Read full review](https://www.g2.com/survey_responses/riva-review-11051978) --- **"[Excellent for Business Growth and Team Success](https://www.g2.com/survey_responses/riva-review-11972631)"** **Rating:** 5.0/5.0 stars *— aqib j.* [Read full review](https://www.g2.com/survey_responses/riva-review-11972631) --- #### What Are G2 Users Discussing About Riva? - [How has Riva impacted your CRM synchronization, and what advice would you give to new users?](https://www.g2.com/discussions/how-has-riva-impacted-your-crm-synchronization-and-what-advice-would-you-give-to-new-users) - [What is Riva used for?](https://www.g2.com/discussions/what-is-riva-used-for) ### 19. [Progress MarkLogic](https://www.g2.com/products/progress-marklogic/reviews) Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era. **Average Rating:** 4.3/5.0 **Total Reviews:** 65 **How Do G2 Users Rate Progress MarkLogic?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10) - **Quality of Support:** 8.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.1/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Progress MarkLogic?** - **Seller:** [Progress Software](https://www.g2.com/sellers/progress-software) - **Company Website:** https://www.progress.com/ - **Year Founded:** 1981 - **HQ Location:** Burlington, MA. - **Twitter:** @ProgressSW (48,773 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/progress-software/ (4,205 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Enterprise, 24% Small-Business #### What Are Recent G2 Reviews of Progress MarkLogic? **"[I am technical support engineer working with Microsoft with azure identity](https://www.g2.com/survey_responses/progress-marklogic-review-9456409)"** **Rating:** 4.5/5.0 stars *— Dar A.* [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-9456409) --- **"[Robust Data Management with MarkLogic's Advanced Features](https://www.g2.com/survey_responses/progress-marklogic-review-12862116)"** **Rating:** 4.5/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-12862116) --- #### What Are G2 Users Discussing About Progress MarkLogic? - [What is MarkLogic used for?](https://www.g2.com/discussions/marklogic-what-is-marklogic-used-for) - 1 comment, 1 upvote - [Is MarkLogic a graph database?](https://www.g2.com/discussions/is-marklogic-a-graph-database) - 1 upvote - [Is MarkLogic open source?](https://www.g2.com/discussions/is-marklogic-open-source) - 1 comment, 1 upvote - [Which of the following features are available with MarkLogic search?](https://www.g2.com/discussions/which-of-the-following-features-are-available-with-marklogic-search) - [What is MarkLogic used for?](https://www.g2.com/discussions/what-is-marklogic-used-for) ### 20. [ClicData](https://www.g2.com/products/clicdata/reviews) ClicData is a cloud-based data platform that spans multiple product categories: Business Intelligence, ETL, Data Warehousing and Data Lakehouse, Data Visualization, Embedded Analytics, and AI-assisted Analytics. It is built to support the full data lifecycle, from ingestion and storage to transformation, visualization, and distribution, within a single environment. Mid-market companies use ClicData to consolidate data workflows that would otherwise require separate tools for each stage. The platform is used across industries including retail, healthcare, media, manufacturing, and public services, by both centralized data teams and operational groups managing their own reporting needs. Our core capabilities include: - Connecting to databases, cloud applications, APIs, and flat files through a library of pre-built connectors - Storing and organizing data in an integrated data warehouse and data lake structure - Cleaning and transforming data using no-code ETL interfaces or SQL - Building dashboards and reports using a drag-and-drop editor or an AI dashboard builder that generates interactive, fully functional dashboards from plain-language prompts - Scheduling data refreshes, automating alerts, and delivering reports on defined triggers - Embedding dashboards into third-party platforms or client-facing applications - Extending analysis with Python scripts for statistical modeling or machine learning workflows For Leadership and Business Leaders ClicData provides a governed environment where data from multiple sources can be consolidated and made available across teams. It reduces dependency on ad hoc data requests by giving your team leads and operational teams direct access to up-to-date dashboards and reports. AI-assisted features support anomaly detection and automated alerting, so leadership can be notified of significant changes in key metrics without relying on manual monitoring. Scheduling and alerting features support proactive monitoring without manual intervention. For Data Practitioners Data engineers and analysts can manage the full pipeline: ingestion, transformation, modeling, and delivery without switching between tools. ClicData supports both no-code and SQL or Python-based transformation, version-controlled data flows or predictive model development. AI capabilities are accessible at the pipeline level, allowing practitioners to integrate predictive models or automated data quality checks directly into existing data flows. For Operational and Business Users Teams outside of IT can access curated dashboards, apply filters, and work with data that has already been validated upstream. AI-assisted features surface trends, forecasts, and anomalies directly within dashboards, making it possible for non-technical users to act on predictive insights without requiring analytical expertise. Embedded analytics capabilities allow organizations to surface data, including AI-generated insights, directly within the products or portals their end users already work in, without requiring those users to log into a separate BI tool. ClicData addresses the common challenge of fragmented data stacks by covering data engineering, storage, and analytics in one platform. It is suited for growing organizations looking to standardize how data is collected, managed, and consumed across different teams and functions. **Average Rating:** 4.4/5.0 **Total Reviews:** 36 **How Do G2 Users Rate ClicData?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Quality of Support:** 8.9/10 (Category avg: 8.9/10) - **Ease of Use:** 8.2/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind ClicData?** - **Seller:** [ClicData](https://www.g2.com/sellers/clicdata) - **Company Website:** https://www.clicdata.com/ - **Year Founded:** 2008 - **HQ Location:** Lille, France - **Twitter:** @ClicData (806 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/278851/ (46 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Small-Business, 32% Mid-Market #### What Are Recent G2 Reviews of ClicData? **"[Quick and simple solution to implement with a responsive and efficient helpdesk team](https://www.g2.com/survey_responses/clicdata-review-11445571)"** **Rating:** 4.5/5.0 stars *— Verified User in Restaurants* [Read full review](https://www.g2.com/survey_responses/clicdata-review-11445571) --- **"[Outstanding Customer Service and Communication from the ClicData Team](https://www.g2.com/survey_responses/clicdata-review-12848126)"** **Rating:** 4.0/5.0 stars *— Verified User in Primary/Secondary Education* [Read full review](https://www.g2.com/survey_responses/clicdata-review-12848126) --- #### What Are G2 Users Discussing About ClicData? - [What are the benefits of business intelligence?](https://www.g2.com/discussions/clicdata-what-are-the-benefits-of-business-intelligence) - [How do I create a dashboard in ClicData?](https://www.g2.com/discussions/how-do-i-create-a-dashboard-in-clicdata) - 1 comment, 1 upvote - [Is ClicData free?](https://www.g2.com/discussions/is-clicdata-free) - 1 comment - [What is CLIC software?](https://www.g2.com/discussions/what-is-clic-software) - 1 comment ### 21. [Apache Sqoop](https://www.g2.com/products/apache-sqoop/reviews) Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases. **Average Rating:** 4.3/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Apache Sqoop?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10) - **Quality of Support:** 8.5/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Apache Sqoop?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 55% Enterprise, 23% Mid-Market #### What Are Recent G2 Reviews of Apache Sqoop? **"[A versatile utility for data move movement and basic sql functions.](https://www.g2.com/survey_responses/apache-sqoop-review-8846881)"** **Rating:** 5.0/5.0 stars *— Zubin D.* [Read full review](https://www.g2.com/survey_responses/apache-sqoop-review-8846881) --- **"[Data sqoop from informatica and oracle in Big data applications](https://www.g2.com/survey_responses/apache-sqoop-review-8923117)"** **Rating:** 4.5/5.0 stars *— Shubhashish V.* [Read full review](https://www.g2.com/survey_responses/apache-sqoop-review-8923117) --- #### What Are G2 Users Discussing About Apache Sqoop? - [What is Apache Sqoop used for?](https://www.g2.com/discussions/what-is-apache-sqoop-used-for) ### 22. [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely, and efficiently with minimal operational impact. Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud. Qlik Replicate is different and Enterprise-Ready. It moves data at high speed from source to target, simply and easily, and offers a single pane of glass monitoring of your data pipelines across the enterprise, all managed through a graphical interface that completely automates end-to-end replication. With our streamlined and agentless configuration, your administrators and data architects can quickly set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale. **Average Rating:** 4.3/5.0 **Total Reviews:** 95 **How Do G2 Users Rate Qlik Replicate?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Quality of Support:** 8.0/10 (Category avg: 8.9/10) - **Ease of Use:** 8.4/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Qlik Replicate?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 42% Enterprise, 35% Mid-Market #### What Are Qlik Replicate's Pros and Cons? **Pros:** - Features (3 reviews) - Database Management (2 reviews) - Easy Integrations (2 reviews) - Scalability (2 reviews) - Automation (1 reviews) **Cons:** - Complex Setup (2 reviews) - Learning Difficulty (2 reviews) - Difficult Setup (1 reviews) - Expensive (1 reviews) - Inadequate Security (1 reviews) ### What Do G2 Reviewers Say About Qlik Replicate? *AI-generated summary from verified user reviews* **Pros:** - Users value the **robust functionality and user-friendly interface** of Qlik Replicate for efficient data management. - Users appreciate the **wide database support** in Qlik Replicate, making data import, validation, and replication seamless. - Users appreciate the **easy integrations** of Qlik Replicate, benefiting from seamless connections with numerous data sources and targets. - Users highlight the **scalability** of Qlik Replicate, enabling efficient replication of millions of data effortlessly. - Users praise the **automation and scalability** of Qlik Replicate, making it the top choice in the data space. **Cons:** - Users find the **complex setup** of Qlik Replicate time-consuming and challenging, impacting their overall experience. - Users find **learning difficulty** due to the complex configurations and extensive setup requirements of Qlik Replicate. - Users find the **difficult setup** of Qlik Replicate time-consuming, requiring significant effort to meet system requirements. - Users find Qlik Replicate to be **expensive** , requiring significant time and effort for setup and learning. - Users note that the **data security** of Qlik Replicate lacks advancement and needs improvements for better protection. #### What Are Recent G2 Reviews of Qlik Replicate? **"[Qlik Replicate: Intelligent Data Replication for Modern Enterprises – Seamless Sync, Move Faster](https://www.g2.com/survey_responses/qlik-replicate-review-11427532)"** **Rating:** 4.0/5.0 stars *— Soumava S.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-11427532) --- **"[Bestest for Data](https://www.g2.com/survey_responses/qlik-replicate-review-8237655)"** **Rating:** 4.5/5.0 stars *— Kaustubh Y.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-8237655) --- #### What Are G2 Users Discussing About Qlik Replicate? - [What are the benefits and drawbacks of using Qlik Replicate for data replication?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-qlik-replicate-for-data-replication) - [What is Qlik Replicate used for?](https://www.g2.com/discussions/what-is-qlik-replicate-used-for) - [How Qlik Replicate works?](https://www.g2.com/discussions/how-qlik-replicate-works) - [How much does Attunity Replicate cost?](https://www.g2.com/discussions/how-much-does-attunity-replicate-cost) - 1 comment - [What is Attunity Replicate?](https://www.g2.com/discussions/what-is-attunity-replicate) ### 23. [Denodo](https://www.g2.com/products/denodo/reviews) Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers. **Average Rating:** 4.3/5.0 **Total Reviews:** 39 **How Do G2 Users Rate Denodo?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Quality of Support:** 8.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Denodo?** - **Seller:** [Denodo](https://www.g2.com/sellers/denodo) - **Year Founded:** 1999 - **HQ Location:** Palo Alto, CA - **Twitter:** @denodo (5,555 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/32150/ (794 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 47% Enterprise, 30% Mid-Market #### What Are Denodo's Pros and Cons? **Pros:** - Functionality (3 reviews) - Connectors (2 reviews) - Data Cataloging (2 reviews) - Data Integration (2 reviews) - Ease of Use (2 reviews) **Cons:** - Expensive (2 reviews) - Bug Issues (1 reviews) - Bugs (1 reviews) - Difficult Learning (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Denodo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **extensive functionality** of Denodo, enhancing data integration and management efficiency across various systems. - Users appreciate the **extensive built-in connectors** of Denodo for seamless integration and unified data access. - Users value the **seamless integration** of Denodo, which simplifies data access and enhances overall data management. - Users appreciate the **seamless data integration** in Denodo, enhancing workflows and providing unified access to data sources. - Users appreciate the **ease of setup** with Denodo, citing seamless integration and efficient data management as key benefits. **Cons:** - Users find Denodo to be **expensive** , which may limit its accessibility for smaller companies. - Users often find the **Web Designer buggy** , which can lead to frustrations compared to the Admin tool. - Users report that the **Web Designer can be buggy** , leading to frustrations compared to the Admin tool's stability. - Users find Denodo has a **steep learning curve** , making it difficult for smaller companies to adapt. - Users find the **steep learning curve** of Denodo challenging, especially for smaller companies trying to adapt. #### What Are Recent G2 Reviews of Denodo? **"[Effortless Data Virtualization with Top-Notch Security](https://www.g2.com/survey_responses/denodo-review-12582329)"** **Rating:** 4.5/5.0 stars *— Aman M.* [Read full review](https://www.g2.com/survey_responses/denodo-review-12582329) --- **"[Denodo’s Real-Time Data Virtualization Makes Integration Fast and Flexible](https://www.g2.com/survey_responses/denodo-review-12255977)"** **Rating:** 4.5/5.0 stars *— Mahmoud H.* [Read full review](https://www.g2.com/survey_responses/denodo-review-12255977) --- #### What Are G2 Users Discussing About Denodo? - [What is Denodo used for?](https://www.g2.com/discussions/denodo-what-is-denodo-used-for) - [Is denodo a database?](https://www.g2.com/discussions/is-denodo-a-database) - [What is denodo data virtualization?](https://www.g2.com/discussions/what-is-denodo-data-virtualization) - [What is denodo tool?](https://www.g2.com/discussions/what-is-denodo-tool) - [What is denodo used for?](https://www.g2.com/discussions/what-is-denodo-used-for) ### 24. [BroadPeak Partners](https://www.g2.com/products/broadpeak-partners/reviews) BroadPeak Partners (BroadPeak) provides data and intelligence solutions for energy and commodity trading firms. With certified connectivity to more than 100 global exchanges and brokers through standard protocols including API, FIX, XML, CSV, Kafka, and Message Queue, BroadPeak delivers clean, structured trade data in real time. Our clients include medium to large energy and commodity trading firms across North America, Europe, and Asia-Pacific, trading power, natural gas, crude oil, refined products, and other commodity markets. Data integration serves as the foundation for BroadPeak's suite of solutions, which includes Trade Capture, Trade Reconciliation, Trade Allocation, Position Limits, Regulatory Reporting, and Trade Surveillance. BroadPeak is designed to eliminate manual data work and reduce operational risk across trading, risk, and compliance teams so clients can focus on what matters most, profitable trading. https://broadpeakpartners.com/ **Average Rating:** 4.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate BroadPeak Partners?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.6/10 (Category avg: 8.9/10) - **Ease of Use:** 9.6/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind BroadPeak Partners?** - **Seller:** [BroadPeak](https://www.g2.com/sellers/broadpeak-de523c38-6f7b-4b9a-9f8b-157cd7d0d61a) - **Year Founded:** 2007 - **HQ Location:** New York, NY - **Twitter:** @BroadPeakInc (209 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/broadpeak-partners-inc/ (36 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 31% Enterprise #### What Are Recent G2 Reviews of BroadPeak Partners? **"[K3 gives plenty of low-code ETL tools for quick data integration with AWS Redshift using K3 Adaptors](https://www.g2.com/survey_responses/broadpeak-partners-review-7136036)"** **Rating:** 4.0/5.0 stars *— Meghna S.* [Read full review](https://www.g2.com/survey_responses/broadpeak-partners-review-7136036) --- **"[Incredible Company](https://www.g2.com/survey_responses/broadpeak-partners-review-5368681)"** **Rating:** 5.0/5.0 stars *— Daniel M.* [Read full review](https://www.g2.com/survey_responses/broadpeak-partners-review-5368681) --- #### What Are G2 Users Discussing About BroadPeak Partners? - [What is K3 used for?](https://www.g2.com/discussions/what-is-k3-used-for) ### 25. [Airbyte](https://www.g2.com/products/airbyte/reviews) Airbyte is an open-source data integration and context layer platform for AI agents that allows companies to unite the data from hundreds of different applications, databases, and APIs. Airbyte can help companies move their data from one location to another automatically. Additionally, Airbyte agents can provide AI agents with the context that they require to complete specific tasks. It helps agents access, search, understand, and act on business data across hundred of tools. **Average Rating:** 4.4/5.0 **Total Reviews:** 77 **How Do G2 Users Rate Airbyte?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Quality of Support:** 8.0/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Airbyte?** - **Seller:** [Airbyte](https://www.g2.com/sellers/airbyte) - **Year Founded:** 2020 - **HQ Location:** San Francisco, US - **Twitter:** @airbytehq (14,219 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64265083 (120 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 56% Small-Business, 35% Mid-Market #### What Are Airbyte's Pros and Cons? **Pros:** - Ease of Use (43 reviews) - Connectors Quantity (26 reviews) - Simple (15 reviews) - Setup Ease (12 reviews) - Quick Setup (11 reviews) **Cons:** - Poor Documentation (8 reviews) - Difficult Setup (7 reviews) - Error Reporting (6 reviews) - Expensive (5 reviews) - Limited Connectors (5 reviews) ### What Do G2 Reviewers Say About Airbyte? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **intuitive UI** of Airbyte, enabling quick deployment of data pipelines without coding. - Users appreciate the **abundant connectors** in Airbyte, simplifying integration with various sources and destinations. - Users praise the **user-friendly interface** of Airbyte, making ELT pipeline creation simple and accessible for all levels. - Users find the **setup ease** of Airbyte impressive, enabling quick and straightforward configuration of data pipelines. - Users love the **quick setup** of Airbyte, allowing for fast and easy deployment of data pipelines. **Cons:** - Users often face **poor documentation** , leading to frustrations with debugging and navigating less common connectors. - Users find the **difficult setup** of Airbyte requires extra help and time investment, impacting initial usage experience. - Users experience **opaque error messages** that complicate troubleshooting and hinder the overall effectiveness of Airbyte. - Users find Airbyte to be **expensive** , especially for small companies handling large datasets, impacting overall value. - Users report **limited connectors** , which can hinder their experience and require workarounds for compatibility issues. #### What Are Recent G2 Reviews of Airbyte? **"[Powerful CDC, Scheduler with Seamless Integration](https://www.g2.com/survey_responses/airbyte-review-12521450)"** **Rating:** 4.0/5.0 stars *— Eugenio C.* [Read full review](https://www.g2.com/survey_responses/airbyte-review-12521450) --- **"[Secure and Versatile with Easy Setup](https://www.g2.com/survey_responses/airbyte-review-13058334)"** **Rating:** 4.0/5.0 stars *— Muhammad A.* [Read full review](https://www.g2.com/survey_responses/airbyte-review-13058334) --- #### What Are G2 Users Discussing About Airbyte? - [What is Airbyte used for?](https://www.g2.com/discussions/what-is-airbyte-used-for) ## What Is Big Data Integration Platforms? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to Big Data Integration Platforms? - [ETL Tools](https://www.g2.com/categories/etl-tools) - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- ## How Do You Choose the Right Big Data Integration Platforms? ### What You Should Know About Big Data Integration Platforms ### What are Big Data Integration Platforms? Big data integration is defined as a process within the data lifecycle that involves extracting data from heterogeneous sources and combining it to obtain insightful unified information which can aid in better decision making.  Big data integration platforms are the tools that allow data to be extracted from various data sources and then sort and process it. There is a huge volume of data generated from various sources daily. Organizations are trying to capture value out of this data. Most of the data comes in an unstructured format. Required data is often distributed across various sources like IoT endpoints, applications, communications, or provided by third parties.  #### What Types of Big Data Integration Platforms Exist? The end goal of a big data integration platform is to transfer and unify data from disparate sources. Data managers can get a better understanding of various methods of achieving this goal by understanding the different types of data integration software. They can decide which type of platform suits them the most:  **Middleware data integration** Middleware is a software that acts as a binding material for two different systems. It connects various applications and transfers data from application to database. Middleware is widely in use for application integration and data management. When an organization is integrating legacy systems with modern ones, middleware is used.  **Data consolidation** This term is interchangeably used with data integration. Data consolidation means combining data from all disparate sources. It also removes any errors before storing it in a data warehouse or data lake. Data consolidation improves data quality. **Extract, transform and load (ETL)** ETL forms the core of data integration tools even today. ETL is the process of consolidation of data in a data warehouse. It involves extracting the data from source systems, transforming it into the required format, and loading it to the target system. **Enterprise data integration** While big data integration is a broader term, enterprise data integration refers to the centralization of data across multiple organizations. This is usually done when the organizations go through mergers and acquisitions.  ### What are the Common Features of Big Data Integration Platforms? Big data integration software is one way for any organization to make informed decisions. Below are key features of big data integration platforms: **Big data connectors:** Many applications use more than one database nowadays. Data connectors make it possible to move data from one database to another. Organizations use big data connectors to filter and transform data in a proper structure for querying and analyzing purposes. Organizations can benefit from the scalability and real-time data transmissions unlike that of traditional batches. With cloud-based and data-driven businesses gaining popularity, advanced data integration in any big data integration platform helps with more agile integrations, without constant schema changes. IPaaS provides pre-built big data connectors, business rules, and maps, which help organize integration flows.  **Data transformation:** Data transformation is the process of changing data from one format structure into another. Organizations use this tool to organize the data better by making it compatible with other data, joining data, and so on. The processes such as data integration, data migration, data warehousing/data storage, and data wrangling all may involve data transformation. **Leverage data from unconventional sources of big data:** This is one of the key features of any efficient big data integration platform. Common file formats like PDFs are usually supported by data integration tools. The advanced feature of leveraging data from unconventional sources supports file formats like COBOL, email sources, and XML/JSON files. Organizations use this feature to obtain streamlined data analysis. **Data virtualization:** Organizations benefit from this feature by getting access to a unified view of various disparate systems. There is no physical movement of data to and from databases. The feature gives organizations real-time access to their data without exposing the technical details of the source systems. **Data quality:** This feature is central to all the big data integration platforms. When data is of excellent quality, it is easier to process and analyze, ultimately helping organizations to make better decisions. **Database integration:** Database technology aids in data storage and has evolved over the years. Relational, NoSQL, hierarchical, and many more are types of databases. NoSQL database is also known as a non-relational database. Database integration is usually done in cases of mergers and acquisitions. Two individual databases are integrated for a better understanding of new business. **Big data management:** It is the organization, administration, and governance of large volumes of structured and unstructured data. Data governance is a major part of data management. A big data governance strategy plays a key role in determining how the business will benefit from available resources. Organizations leverage this feature to ensure a high level of data quality.  **Data processing:** The feature manipulates data by collecting and combining it to obtain usable information. With big data migrating to the cloud, the benefits of cloud data processing can be reaped by small and large organizations alike. **Application programming interface (API):** This feature connects one system to another via APIs, allowing the data exchange between those two systems. It facilitates seamless connectivity between devices and programs. **Data warehouse:** This is a part of the data integration process which deals with cleansing, formatting, and data storage. One of the important implementations of big data integration is building a data warehouse. It is done by merging systems to unify the data from disparate sources. Technically data warehouses perform queries and analysis. ### What are the Benefits of Big Data Integration Platforms? Businesses today are data-driven. Hence, it is important to clean, process, and organize this data for better decision-making. Following are the benefits of implementing big data integration platforms at organizations:  **Reducing the complexity of big data:** In any organization, the more the number of applications, the more are the number of interfaces. Big data can be difficult to manage at times. However, big data integration software helps in managing complexity, making easier delivery of data to any system, and streamlining the connections. It begins with defining business-critical data; data related to customers, products, sites, and suppliers. The overall process might involve updating, collating, and refining data to form a uniform understanding of the same.  **Scalability:** Big data is primarily unstructured and requires real-time analysis. Advanced big data tools in association with cloud computing aid in connecting the data with real-time events and automate resource allocation based on integration activities. When organizations have scalable data platforms, they are also prepared for potential growth in their data needs. **Better decision making:** Organizations often deal with a variety of data from disparate sources. Data integration helps managers understand the dynamics of their business and anticipate shifts in the market. Data entered manually can often have flaws and thus poor insights going further. Integration platforms help in obtaining up-to-date data, thus facilitating faster and higher quality decision making. When data is unified, it is available for everyone in the organization to access. This boosts transparency, collaboration, and ultimately maximizes data value.  **Cost optimization:** Integration platforms create a centralized software architecture that connects to system and software and allows transporting data seamlessly. This focuses on eliminating inefficiencies caused due to using multiple software within an organization. This brings down the cost required for storing, processing, and analyzing large amounts of data. **Data governance:** This system helps in understanding the executives in charge of data assets in an organization.  ### Who Uses Big Data Integration Platforms? **Data analysts and data scientists:** These employees are generally the main users of big data integration tools. They use the software to gather a deeper understanding of business-critical data. These teams may be tasked with data preparation, cleansing, and data processing for further analysis. **Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. The data that is error free and insightful helps the marketing team to execute successful campaigns and strategies. Big data integration helps the marketing teams promote the company or its product to the target audience. **Finance teams:** Finance teams leverage data integration platforms to gain insight and understanding into the factors that impact an organization's business. Finance teams require real-time data for obtaining actionable insights which is possible using advanced data integration software. By integrating financial data with other operations data, accounting and finance teams pull actionable insights that might not have been uncovered through the use of traditional tools. #### Software Related to Big Data Integration Platforms Related solutions that can be used together with data integration include: **Metadata-driven data integration software:** Big data integration software can handle a variety of data. However, when used with powerful metadata, it can streamline the creation and management of BI reporting. Metadata repository provides a view and analyses the movement of data around the organization. [Data management platforms](https://www.g2.com/categories/data-management-platforms) **:** This category of software is used to gather, analyze, and store big data. Data management platforms help organizations leverage big data from various sources in real time leading to effective customer engagement. [Data replication software](https://www.g2.com/categories/data-replication) **:** Data replication can be one-time or an ongoing process. This software aims at keeping all the members of the organization on the same page. Data replication involves copying data from one server to a database on another server. [Big data analytics software](https://www.g2.com/categories/big-data-analytics) **:** Data Analytics platforms are a great aid to any organization with the need for timely data visualization of high-level analytics. Many industries target their customers using data analytics which helps the companies provide a customized experience and meet customer expectations. **Application integration software:** Application integration, like data integration, works in batches; this leaves gaps in taking quick actions. Organizations can benefit from moving data in real time with application integration to easy access and quicker actions. ### Challenges with Big Data Integration Platforms **Managing large data volume:** The exponential growth of data from various sources is one of the biggest challenges of big data integration. This further creates issues with the retention of this data. Sometimes data runs on multiple platforms—a combination of on-premises and cloud hosting. This gives rise to complexity and managing can become difficult. **Manual data integration tasks:** In many organizations, data scientists are the employees finding and preparing the data, which leaves an equivalent to only a week’s time for actual data science tasks and analytical work. This has made enterprises look for tools to automate ingestion and integration. **Growth of heterogeneous data:** Heterogeneous data is a group of data with non-similar data types. Data is collected in different formats—structured, unstructured, and semi-structured. Integrating all these disparate data types is a tedious process and would need a proper ETL tool. Data is mostly handled by various data handling systems and it may not be in the same format. **Issues with data quality:** Incompatible or invalid data may be present in the data obtained from disparate sources. Businesses might not be aware of this, and the analytics might show insights with this incompatible data which could have severe repercussions. The insights provided by data analytics could potentially be misleading. The quality of gathered data is kept in check by appointing an executive for data management. This manual job can be time consuming for huge volumes of data. ### Which Companies Should Buy Big Data Integration Platforms? **Retail:** This industry is the most common one to use big data software. They want to attract more customers to their business. For that, they need to correctly anticipate what the customers want. Accurate insights can help companies to identify their target customers as well as build on their competitive advantage. **Logistics:** Data Integration brings different systems together by combining data and functions. Data in the transportation and logistics industry is stored in on-premises ERP and cloud-based CRM systems. Big data integration solutions help organizations overcome challenges like traffic congestion and mismanagement of capacity using automated fleet management and cloud-based analytics. Business processes are optimized and transcription errors are also reduced. **Education:** Data privacy and security are of utmost importance in the education industry. Big data tools are changing the educational scenario altogether. Cutting-edge technology can help make better educational assessments.  **Banking and finance:** Data integration helps banks in providing better customer experience, cross-selling, customer retention, and overall profitability. Big data integration helps in fraud detection and compliance. **Construction:** Large infrastructure projects are huge in volume. While construction is one of the least digitized industries, organizations are now realizing the importance of the data that is generated and that it should be leveraged for obtaining better results. Using big data integration platforms, companies can combine design and construction data so that every department remains on the same page. This leads to better tracking of project design data being used at the construction site. **Healthcare:** Big data platforms are critical to the healthcare industry. The data in healthcare is unstructured and data integration can prove useful in obtaining valuable insights. The ultimate goal of data integration solutions in this industry is to improve the quality and cost of healthcare for patients and researchers. ### How to Buy Big Data Integration Platforms? #### Requirements Gathering (RFI/RFP) for Big Data Integration Platforms If a company is just starting out and looking to purchase the first big data integration platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best big data integration software for the business. The particular business pain points might be related to all of the manual work that must be completed. If the company has amassed a lot of data, the need is to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use the big data integration tool, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a big data integration platform. #### Compare Big Data Integration Platforms Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various big data integration solutions. **Conduct demos** To ensure the comparison is thorough, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. #### Selection of Big Data Integration Platforms **Choose a selection team** Before getting started, it's crucial to create a team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A team of three to five people with roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator would suffice. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities. **Negotiation** As data integration platforms are all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare important data like pricing metrics of a particular vendor, the stage that buyer organization is in, and also terms and conditions of the organization. **Final decision** It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others. ### What Do Big Data Integration Platforms Cost? Data Integration software is available both on-premises and on cloud. The cost per type changes given there are certain factors for each type to consider. The organizations that consider deploying on-premises software are liable for costs associated with server hardware, power consumption, and space. Whereas software using the cloud can be charged for the resources it uses and prices go up or down depending on how much of the software is consumed.  #### Return on Investment (ROI) Organizations buy big data integration platforms with an expectation of a certain ROI. Although there are ways to directly calculate ROIs, it could be a little daunting to use those here. It entirely depends on the intricacy of the project and ultimately the software itself. ROI can be further looked at from an IT perspective and a business perspective. The ROI on IT infrastructure, staffing, expertise-building, and services cost is calculated. Whereas, for business, time investments, outside investments (the cost related to external partners involved in the project), and opportunity costs are treated as important. ### Implementation of Big Data Integration Platforms **How are Big Data Integration Platforms Implemented?** It is necessary to define the goals to be achieved using a big data integration platform. This will help measure the success of target projects for which big data integration software will be used. Large organizations have data in large volumes from heterogeneous data sources, hence it is better to hire an external party for implementing the software. Connectivity between systems is ensured during the process. With a rich experience throughout the years, the specialists from these consultancy firms can guide the businesses in connecting and consolidating their data effectively by helping the company to identify the best vendors in the space that would suit their business needs and goals. **Who is Responsible for Big Data Integration Platforms Implementation?** Data integration implementation can be a tedious process. In such times, it is advisable to have vendor support throughout the implementation. The team size could range from moderate to large depending on the complexity of the software being implemented. With cross-functional teams, it is possible to streamline the implementation process. Before actual use, it is always a good practice to test sample data. **What Does the Implementation Process Look Like for Big Data Integration Platforms?** The overall implementation process can be done in the following steps: - Identifying and defining the project is a step when organizations can figure out the format in which the consolidated data has to be in so that it can prove of maximum usefulness to the organization. - Reviewing the systems becomes crucial at this point. Depending on the connectivity, the consultancy specialists may advise on data connectors and/or SFTP ports to facilitate data interchange. - Defining data integration framework. - Defining how data will be processed. **When Should You Implement Big Data Integration Platforms?** Big data integration software is usually required when the organization deals with loads of data coming from disparate sources. ### Big Data Integration Platforms Trends **Hybrid integration platforms** These platforms help business users to handle highly complex data. Hybrid integration platforms integrate on-premises and cloud-based data. These platforms help in reducing costs and risks. **Integration using artificial intelligence and machine learning** The disruptive nature of today’s digital transformation has paved the way for many new developments in integration platforms. With artificial intelligence, it is possible to obtain accurate insights about customer data and thus meet up to their expectations. Machine learning helps in providing the transparency to make better decisions. **Adoption of software as a service (SaaS) and cloud** SaaS is helping traditional on-premises software to migrate to the cloud. The ease of use of cloud and SaaS enables the organizations to use data from any place, at any time, and pay for how much is used. It also eliminates the use of hardware making the infrastructure flexible.  **Blockchain for data and analytics** Blockchain technology can help in more than one way:  - Enhances security - Provides transparency - Streamlines the integration process - Simplifies communications - Eliminates the need for middlemen thus reducing the cost.