# Best Big Data Integration Platforms - Page 3 *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 (1,147 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 (826 reviews) | No-code ETL and multi-source data blending | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 3 | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5.0 (708 reviews) | Multi-workload analytics with compute-storage separation | "[Easy, Efficient Data Extraction with Clear Database Insights](https://www.g2.com/survey_responses/snowflake-review-12884116)" | | 4 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (749 reviews) | Cross-application data orchestration with low-code recipes | "[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)" | | 5 | [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 | "[Intuitive, Scalable Data Integration with Azure Data Factory](https://www.g2.com/survey_responses/azure-data-factory-review-12454264)" | | 6 | [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) | 4.3/5.0 (369 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)" | | 7 | [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) | 4.4/5.0 (371 reviews) | Low-code ETL pipeline building across hybrid environments | "[Intuitive Drag-and-Drop Pipelines with Reliable Real-Time Sync](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12873225)" | | 8 | [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)" | | 9 | [Maia](https://www.g2.com/products/matillion-maia/reviews) | 4.5/5.0 (119 reviews) | — | "[Maia Scaled 800+ Pipeline Migrations Without Added Overhead](https://www.g2.com/survey_responses/maia-review-12920298)" | | 10 | [IBM webMethods B2B](https://www.g2.com/products/ibm-webmethods-b2b/reviews) | 4.5/5.0 (56 reviews) | EDI-native trading partner data integration | "[Strongly recommend to use](https://www.g2.com/survey_responses/ibm-webmethods-b2b-review-10173432)" | ## How Many Big Data Integration Platforms Products Does G2 Track? **Total Products under this Category:** 128 ### Category Stats (Jul 2026) - **Average Rating**: 4.52/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Orchestra (+2.71%) - Among all products in this category, Orchestra recorded the largest rating increase compared to last month *Last updated: July 01, 2026* ## How Does G2 Rank Big Data Integration Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 9,400+ Authentic Reviews - 128+ 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%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&secure%5Btoken%5D=21a555dbe8840fed4a6fd5620a01150fcd112d5e5f65b53c88c337edd2526a02&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. [Qubole](https://www.g2.com/products/qubole/reviews) Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com. **Average Rating:** 4.0/5.0 **Total Reviews:** 237 **How Do G2 Users Rate Qubole?** - **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:** 7.8/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Qubole?** - **Seller:** [Qubole](https://www.g2.com/sellers/qubole) - **Year Founded:** 2011 - **HQ Location:** Santa Clara, CA - **Twitter:** @qubole (9,425 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2531735/ (24 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Data Scientist - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Enterprise, 44% Mid-Market #### What Are Recent G2 Reviews of Qubole? **"[Qubole is an amazing data lake platform for analytics](https://www.g2.com/survey_responses/qubole-review-5474365)"** **Rating:** 5.0/5.0 stars *— Parth C.* [Read full review](https://www.g2.com/survey_responses/qubole-review-5474365) --- **"["Great and easy to implement tool to manage big data"](https://www.g2.com/survey_responses/qubole-review-7111868)"** **Rating:** 5.0/5.0 stars *— Muhammad D.* [Read full review](https://www.g2.com/survey_responses/qubole-review-7111868) --- #### What Are G2 Users Discussing About Qubole? - [What is Qubole used for?](https://www.g2.com/discussions/what-is-qubole-used-for) ### 2. [Talend Data Fabric](https://www.g2.com/products/talend-data-fabric/reviews) Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – from connecting the broadest set of data sources and platforms to intuitive self-service data access. **Average Rating:** 4.3/5.0 **Total Reviews:** 62 **How Do G2 Users Rate Talend Data Fabric?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10) - **Quality of Support:** 7.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.1/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Talend Data Fabric?** - **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:** 45% Mid-Market, 28% Enterprise #### What Are Talend Data Fabric's Pros and Cons? **Pros:** - Data Management (3 reviews) - Data Integration (2 reviews) - Ease of Use (2 reviews) - Flexibility (2 reviews) - Performance (2 reviews) **Cons:** - Learning Curve (4 reviews) - Expensive (3 reviews) - UX Improvement (3 reviews) - Poor Documentation (2 reviews) - Slow Performance (2 reviews) ### What Do G2 Reviewers Say About Talend Data Fabric? *AI-generated summary from verified user reviews* **Pros:** - Users commend Talend Data Fabric for its **efficient data management** , enhancing precision and scalability in workflows. - Users appreciate the **unified approach to data integration** , enabling efficient management and high data quality across various sources. - Users value the **user-friendly interface** of Talend Data Fabric, simplifying data management for both technical and non-technical users. - Users value the **flexibility and scalability** of Talend Data Fabric, enabling efficient data integration across diverse sources. - Users highlight the **efficient handling of large data volumes** with Talend Data Fabric, ensuring quality and reliability. **Cons:** - Users struggle with the **steep learning curve** of Talend Data Fabric, finding it complex and overwhelming for newcomers. - Users find Talend Data Fabric to be **expensive** , with high licensing costs and open-source alternatives available. - Users highlight the need to improve the **user interface** of Talend Data Fabric for better navigation and usability. - Users face challenges due to **poor documentation** , making it hard to troubleshoot and navigate the platform effectively. - Users experience **slow performance** with Talend Data Fabric, especially when handling large datasets, impacting efficiency. #### What Are Recent G2 Reviews of Talend Data Fabric? **"[Exploring the Power (and Perks) of Talend Data Fabric](https://www.g2.com/survey_responses/talend-data-fabric-review-9112143)"** **Rating:** 4.5/5.0 stars *— Siddharth S.* [Read full review](https://www.g2.com/survey_responses/talend-data-fabric-review-9112143) --- **"[Unlocking Data Flow Excellence: A Comprehensive Look at Talend Data Streams](https://www.g2.com/survey_responses/talend-data-fabric-review-9119413)"** **Rating:** 4.0/5.0 stars *— Naif H.* [Read full review](https://www.g2.com/survey_responses/talend-data-fabric-review-9119413) --- #### What Are G2 Users Discussing About Talend Data Fabric? - [What is Talend Data Streams used for?](https://www.g2.com/discussions/what-is-talend-data-streams-used-for) - [What is Talend Data Fabric used for?](https://www.g2.com/discussions/what-is-talend-data-fabric-used-for) - [What language does Talend Open Studio use?](https://www.g2.com/discussions/what-language-does-talend-open-studio-use) - 2 comments ### 3. [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) Apache NiFi is an open-source data integration platform designed to automate the flow of information between systems. It enables users to design, manage, and monitor data flows through an intuitive, web-based interface, facilitating real-time data ingestion, transformation, and routing without extensive coding. Originally developed by the National Security Agency (NSA) as "NiagaraFiles," NiFi was released to the open-source community in 2014 and has since become a top-level project under the Apache Software Foundation. Key Features and Functionality: - Intuitive Graphical Interface: NiFi offers a drag-and-drop web interface that simplifies the creation and management of data flows, allowing users to configure processors and monitor data streams visually. - Real-Time Processing: Supports both streaming and batch data processing, enabling the handling of diverse data sources and formats in real-time. - Extensive Processor Library: Provides over 300 built-in processors for tasks such as data ingestion, transformation, routing, and delivery, facilitating integration with various systems and protocols. - Data Provenance Tracking: Maintains detailed lineage information for every piece of data, allowing users to track its origin, transformations, and routing decisions, which is essential for auditing and compliance. - Scalability and Clustering: Supports clustering for high availability and scalability, enabling distributed data processing across multiple nodes. - Security Features: Incorporates robust security measures, including SSL/TLS encryption, authentication, and fine-grained access control, ensuring secure data transmission and access. Primary Value and Problem Solving: Apache NiFi addresses the complexities of data flow automation by providing a user-friendly platform that reduces the need for custom coding, thereby accelerating development cycles. Its real-time processing capabilities and extensive processor library allow organizations to integrate disparate systems efficiently, ensuring seamless data movement and transformation. The comprehensive data provenance tracking enhances transparency and compliance, while its scalability and security features make it suitable for enterprise-level deployments. By simplifying data flow management, NiFi enables organizations to focus on deriving insights and value from their data rather than dealing with the intricacies of data integration. **Average Rating:** 4.2/5.0 **Total Reviews:** 26 **How Do G2 Users Rate Apache NiFi?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Quality of Support:** 7.4/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Apache NiFi?** - **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/ (2,408 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Enterprise, 31% Mid-Market #### What Are Recent G2 Reviews of Apache NiFi? **"[Helpful Free Tool for Managing and Visualizing Data](https://www.g2.com/survey_responses/apache-nifi-review-12721658)"** **Rating:** 4.5/5.0 stars *— Shanmuganantha K.* [Read full review](https://www.g2.com/survey_responses/apache-nifi-review-12721658) --- **"[Nifi usage review](https://www.g2.com/survey_responses/apache-nifi-review-11352530)"** **Rating:** 4.5/5.0 stars *— Naresh M.* [Read full review](https://www.g2.com/survey_responses/apache-nifi-review-11352530) --- ### 4. [Peregrine Connect](https://www.g2.com/products/peregrine-connect/reviews) Peregrine Connect is one of the leading integration platforms that enables businesses to simplify the design, deployment, hosting, management of applications, APIs, and workflows. The platform secures the most critical integrations and business processes with actionable visibility, pinpoint diagnostics, alerting and unified control across your entire organization. Peregrine Connect enables your Microsoft .NET Core resources to be reused and extended to further simplify the integration of applications and the automation of critical business functions. The Peregrine Connect product portfolio encompasses Neuron ESB, FlightPath Data Mapper Management Suite, Design Studio, and NetSuite PSA Add-In for Microsoft Project. Peregrine Connect offers an innovative set of connectors for popular enterprise applications. It provides robust data integration features and a simple yet flexible UI to design & execute integrations for organizations of all sizes. Customers benefit from a superior development experience, better performance, reduced complexity, and immediate time-to-value. Peregrine Connect customers deploy projects in a matter of weeks rather than months with clients around the globe in a variety of industries. To learn more, visit http://www.peregrineconnect.com **Average Rating:** 4.4/5.0 **Total Reviews:** 91 **How Do G2 Users Rate Peregrine Connect?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Quality of Support:** 8.4/10 (Category avg: 8.9/10) - **Ease of Use:** 8.5/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Peregrine Connect?** - **Seller:** [Peregrine](https://www.g2.com/sellers/peregrine) - **HQ Location:** Irvine, California - **LinkedIn® Page:** https://www.linkedin.com/company/peregrineconnect/ (5 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 35% Mid-Market #### What Are Recent G2 Reviews of Peregrine Connect? **"[Unmatched Integration Capabilities with Peregrine Connect](https://www.g2.com/survey_responses/peregrine-connect-review-8350071)"** **Rating:** 5.0/5.0 stars *— Verified User in Oil & Energy* [Read full review](https://www.g2.com/survey_responses/peregrine-connect-review-8350071) --- **"[Easiest Integration Platform to Use](https://www.g2.com/survey_responses/peregrine-connect-review-8338207)"** **Rating:** 5.0/5.0 stars *— Lina F.* [Read full review](https://www.g2.com/survey_responses/peregrine-connect-review-8338207) --- #### What Are G2 Users Discussing About Peregrine Connect? - [What do you like most about Peregrine Connect for application integration, and what could be improved?](https://www.g2.com/discussions/what-do-you-like-most-about-peregrine-connect-for-application-integration-and-what-could-be-improved) - [What is Peregrine Connect used for?](https://www.g2.com/discussions/what-is-peregrine-connect-used-for) ### 5. [AnalyticsCreator](https://www.g2.com/products/analyticscreator/reviews) AnalyticsCreator is a data warehouse automation (DWA) software solution that helps data engineers design, build, and maintain enterprise data warehouses and analytical data products using a metadata-driven development approach. The software is used by data engineering and analytics teams that need to integrate data from multiple operational systems and transform it into structured models for reporting, analytics, and business intelligence. Instead of writing large amounts of manual SQL code, engineers define data structures, mappings, and transformation logic in AnalyticsCreator. The software then automatically generates the required database objects, pipelines, and other technical artifacts needed to implement the data warehouse. AnalyticsCreator is commonly used in environments where data needs to be consolidated from SAP systems, relational databases, and other enterprise applications. The generated structures and pipelines support the creation of governed analytical models that can be used by BI tools and reporting platforms. The approach helps teams standardize development patterns while still allowing engineers to add custom SQL logic when specific transformations or calculations are required. Typical use cases include: Building and maintaining enterprise data warehouses Integrating and transforming data from SAP and other operational systems Automating ELT pipeline and transformation development Creating analytical data products for reporting and BI Understanding data lineage and change impact across the warehouse Key capabilities include: Metadata-driven automation for generating SQL objects, transformations, and deployment artifacts Support for common data warehouse modeling approaches, including dimensional models Integration with enterprise data sources, including SAP systems and relational databases Automated generation of orchestration pipelines, including Azure Data Factory Built-in lineage visualization to understand dependencies and downstream impacts Integration with version control and CI/CD workflows such as GitHub and Azure DevOps Automated technical documentation for architecture and governance purposes Organizations use AnalyticsCreator to automate repetitive data engineering work while maintaining transparency into how data pipelines, transformations, and analytical models are defined and deployed. **Average Rating:** 4.3/5.0 **Total Reviews:** 14 **How Do G2 Users Rate AnalyticsCreator?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 8.6/10 (Category avg: 8.9/10) - **Ease of Use:** 9.2/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind AnalyticsCreator?** - **Seller:** [AnalyticsCreator](https://www.g2.com/sellers/analyticscreator) - **Year Founded:** 2008 - **HQ Location:** Munich, Germany - **LinkedIn® Page:** https://www.linkedin.com/company/analyticscreator/ (9 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Small-Business, 21% Mid-Market #### What Are Recent G2 Reviews of AnalyticsCreator? **"[Game Changer](https://www.g2.com/survey_responses/analyticscreator-review-8871315)"** **Rating:** 4.5/5.0 stars *— Virajitha P.* [Read full review](https://www.g2.com/survey_responses/analyticscreator-review-8871315) --- **"[Automates Data Management and Supports Seamless Integration](https://www.g2.com/survey_responses/analyticscreator-review-8370923)"** **Rating:** 4.5/5.0 stars *— Denise M.* [Read full review](https://www.g2.com/survey_responses/analyticscreator-review-8370923) --- ### 6. [ibi Omni-Gen](https://www.g2.com/products/ibi-omni-gen/reviews) The modern, highly scalable ibi™ Omni-Gen® Data Integration Framework provides powerful data integration and cleansing technologies that ensure your data is timely, accurate, consistent, and accessible. Interoperable Omni-Gen architecture insulates end users from data complexities and ensures delivery of the right data to the right place at the right time for faster, smarter decisions. With Omni-Gen, you can more easily break down data silos and add new data sources, migrate legacy systems, and manage M&A activities to achieve better results from your digital transformation efforts. **Average Rating:** 3.8/5.0 **Total Reviews:** 21 **How Do G2 Users Rate ibi Omni-Gen?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Quality of Support:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 7.5/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.7/10 (Category avg: 8.5/10) **Who Is the Company Behind ibi Omni-Gen?** - **Seller:** [ibi](https://www.g2.com/sellers/ibi-c9a17c70-0d20-476a-899c-480706dd4ce4) - **Year Founded:** 1975 - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @infobldrs (32,864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/information-builders/ (894 employees on LinkedIn®) - **Phone:** 212-736-4433 **Who Uses This Product?** - **Top Industries:** Banking - **Company Size:** 43% Enterprise, 38% Mid-Market #### What Are Recent G2 Reviews of ibi Omni-Gen? **"[Performing magic with iWay](https://www.g2.com/survey_responses/ibi-omni-gen-review-720788)"** **Rating:** 4.5/5.0 stars *— Yin Yin T.* [Read full review](https://www.g2.com/survey_responses/ibi-omni-gen-review-720788) --- **"[Omni-Gen works great for all my MDM needs!](https://www.g2.com/survey_responses/ibi-omni-gen-review-2445817)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/ibi-omni-gen-review-2445817) --- #### What Are G2 Users Discussing About ibi Omni-Gen? - [What is TIBCO Omni-Gen used for?](https://www.g2.com/discussions/what-is-tibco-omni-gen-used-for) ### 7. [Prophecy](https://www.g2.com/products/prophecy-prophecy/reviews) Prophecy is the agentic data prep and analysis platform that introduces a new data lifecycle—generate, refine, deploy—where AI agents and data teams collaborate through visual, code, and document interfaces to accelerate work and deliver trusted pipelines to production. Leading enterprises rely on Prophecy to power their most demanding data workloads. - Generate a first draft in minutes: Prophecy’s AI agents, built on specialized Claude Code, are experts at generating workflows for your data, accelerating tasks like data transformation and automating others like documentation. - Refine with ease and speed: Our visual analytics workflows (or code, document formats) enable users to quickly understand the AI generated output, and to refine them to 100% complete. Deploy robustly: We provide robust deployment to production built on software best practices. The deployed workflows run at scale, with governance, on your cloud data platform. What are the key features of Prophecy? - Market Leading Data Agents: Specialized Claude Code based AI agents that understand your data and apply data specific skills to generate the best results. - Visual Inspect & Refine: AI generates results as visual data workflows, so business users can quickly inspect the logic, refine it to match their intent, and validate the final output. - Integrated Data Execution: You schedule and monitor workflows. Each reads/writes data using built-in high-performance connectors, and run transforms in Prophecy or your SQL or Spark platforms. - Complete Data Lifecycle: The visual workflows can be deployed to production as high-performance code that runs at scale with governance on Databricks, Snowflake or BigQuery that can be shared. Prophecy finds application across industries such as finance, healthcare, and retail, where data-driven decisions are crucial. Analysts become more productive, and business users now self-serve. Learn more at https://www.prophecy.ai/ **Average Rating:** 4.6/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Prophecy?** - **Has the product been a good partner in doing business?:** 9.3/10 (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 Prophecy?** - **Seller:** [Prophecy](https://www.g2.com/sellers/prophecy) - **Year Founded:** 2017 - **HQ Location:** Palo Alto, CA - **Twitter:** @Prophecy_io (370 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/prophecy-io/ (183 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Data Engineer - **Top Industries:** Financial Services, Insurance - **Company Size:** 68% Enterprise, 19% Mid-Market #### What Are Prophecy's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Code Generation (11 reviews) - Customer Support (8 reviews) - Features (8 reviews) - Automation (7 reviews) **Cons:** - Feature Limitations (8 reviews) - Learning Curve (7 reviews) - Missing Features (6 reviews) - Steep Learning Curve (5 reviews) - Difficulty (4 reviews) ### What Do G2 Reviewers Say About Prophecy? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Prophecy, enabling simple creation of scalable ETL pipelines with a user-friendly interface. - Users value the **high-quality code generation** from Prophecy, enhancing productivity in designing and managing data pipelines. - Users commend the **outstanding customer support** from Prophecy, which enhances their experience and resolves issues effectively. - Users highlight Prophecy's **robust feature set** , streamlining data pipeline management and significantly boosting engineer productivity. - Users value the **automation capabilities** of Prophecy, making pipeline creation and management faster and more efficient. **Cons:** - Users face **feature limitations** , noting slow interface and missing complex data science extensions in Prophecy. - Users find the **learning curve** challenging, as mastering best practices and efficient use takes time and experience. - Users find Prophecy has **missing features** and outdated capabilities, limiting effectiveness while requiring support for advanced tasks. - Users note a challenging **steep learning curve** with Prophecy, requiring time to master effective tool usage and best practices. - Users find the **difficulty** in understanding syntax and troubleshooting pipeline issues hampers their overall experience with Prophecy. #### What Are Recent G2 Reviews of Prophecy? **"[Prophecy and Samsara Together](https://www.g2.com/survey_responses/prophecy-review-11097313)"** **Rating:** 4.0/5.0 stars *— Robert K.* [Read full review](https://www.g2.com/survey_responses/prophecy-review-11097313) --- **"[Modern Code-First Spark Pipelines with a Clean Visual Interface](https://www.g2.com/survey_responses/prophecy-review-12836664)"** **Rating:** 4.0/5.0 stars *— Paridhi M.* [Read full review](https://www.g2.com/survey_responses/prophecy-review-12836664) --- ### 8. [WhereScape RED](https://www.g2.com/products/wherescape-red/reviews) WhereScape RED is a comprehensive data warehouse automation tool designed for developers, focusing on automating development, deployment, and operations of data infrastructure. It streamlines the data warehousing process by automating code generation, documentation updates, and workflow management, and integrates with leading data platforms. The tool supports rapid prototyping, full ELT capabilities, and provides a complete lifecycle management solution, enhancing efficiency and reducing the need for manual coding. **Average Rating:** 3.9/5.0 **Total Reviews:** 35 **How Do G2 Users Rate WhereScape RED?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 8.9/10) - **Quality of Support:** 6.6/10 (Category avg: 8.9/10) - **Ease of Use:** 7.5/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.4/10 (Category avg: 8.5/10) **Who Is the Company Behind WhereScape RED?** - **Seller:** [WhereScape Software](https://www.g2.com/sellers/wherescape-software) - **Year Founded:** 2001 - **HQ Location:** Houston, Texas - **Twitter:** @wherescape (2,816 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wherescape/about (44 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Hospital & Health Care - **Company Size:** 52% Enterprise, 38% Mid-Market #### What Are WhereScape RED's Pros and Cons? **Cons:** - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About WhereScape RED? *AI-generated summary from verified user reviews* **Cons:** - Users find the **poor documentation** of WhereScape RED challenging, making it difficult to fully understand the product. #### What Are Recent G2 Reviews of WhereScape RED? **"[Excellent Data Automation Tool](https://www.g2.com/survey_responses/wherescape-red-review-9534316)"** **Rating:** 5.0/5.0 stars *— Michael L.* [Read full review](https://www.g2.com/survey_responses/wherescape-red-review-9534316) --- **"[Powerful template driven code generator](https://www.g2.com/survey_responses/wherescape-red-review-9339277)"** **Rating:** 4.0/5.0 stars *— Luqman Kajee H.* [Read full review](https://www.g2.com/survey_responses/wherescape-red-review-9339277) --- ### 9. [Minitab Connect](https://www.g2.com/products/minitab-connect/reviews) Minitab Connect is a secure, cloud-based data integration and management platform that enables organizations to access, prepare, and combine data from across their business. It connects to a wide range of data sources such as databases, cloud applications, spreadsheets, and on-premise systems so that teams can create a single, reliable source of truth for analysis and reporting. With Minitab Connect, users can automate data pipelines, clean and transform data, and deliver ready-to-use datasets directly into Minitab solutions and other business tools. This helps eliminate manual data preparation, improve data accuracy, and accelerate time to insight, empowering teams to make faster, data-driven decisions. **Average Rating:** 4.5/5.0 **Total Reviews:** 30 **How Do G2 Users Rate Minitab Connect?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Minitab Connect?** - **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b) - **Company Website:** https://www.minitab.com - **Year Founded:** 1972 - **HQ Location:** State College, Pennsylvania, United States - **Twitter:** @Minitab (5,017 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (717 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 57% Enterprise, 33% Mid-Market #### What Are Minitab Connect's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Data Integration (3 reviews) - Easy Integrations (3 reviews) - Functionality (3 reviews) - Integrations (3 reviews) **Cons:** - Learning Curve (3 reviews) - Learning Difficulty (3 reviews) - Poor Visualization (3 reviews) - Visualization Limitations (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About Minitab Connect? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Minitab Connect, finding it simple and user-friendly for data analysis. - Users appreciate the **efficient data integration** offered by Minitab Connect, making analysis seamless and accessible. - Users appreciate the **easy integrations** of Minitab Connect, enabling seamless data access and streamlined analysis. - Users value the **easy data integration** features of Minitab Connect, enhancing their analytical capabilities with seamless access. - Users appreciate the **seamless data integration** capabilities of Minitab Connect, enhancing accessibility and analysis ease. **Cons:** - Users struggle with the **high learning curve** of Minitab Connect, requiring time and persistence to master. - Users experience a **high learning difficulty** with Minitab Connect, requiring patience and time to master its features. - Users find **poor visualization** in Minitab Connect, especially with large datasets, limiting its effectiveness and efficiency. - Users face **visualization limitations** with Minitab Connect, particularly when handling large datasets and complex transformations. - Users find **complexity in data visualisation** with Minitab Connect makes tasks slow and challenging, with high costs. #### What Are Recent G2 Reviews of Minitab Connect? **"[Efficient Data Integration and Analysis with Minitab Connect](https://www.g2.com/survey_responses/minitab-connect-review-8020975)"** **Rating:** 4.5/5.0 stars *— job m.* [Read full review](https://www.g2.com/survey_responses/minitab-connect-review-8020975) --- **"[Minitab Connect](https://www.g2.com/survey_responses/minitab-connect-review-11397004)"** **Rating:** 4.5/5.0 stars *— Olena C.* [Read full review](https://www.g2.com/survey_responses/minitab-connect-review-11397004) --- #### What Are G2 Users Discussing About Minitab Connect? - [What are the benefits of Minitab?](https://www.g2.com/discussions/what-are-the-benefits-of-minitab) - [What are two features of Minitab?](https://www.g2.com/discussions/what-are-two-features-of-minitab) - [What are the features of Minitab?](https://www.g2.com/discussions/what-are-the-features-of-minitab) ### 10. [SAP Data Services](https://www.g2.com/products/sap-data-services-2021-04-05/reviews) SAP Data Services is a comprehensive enterprise solution designed to enhance data integration, quality, and cleansing across organizations. As part of the SAP Business Technology Platform, it ensures that businesses have access to trusted, relevant, and timely information, thereby facilitating improved decision-making and operational efficiency. The software supports both structured and unstructured data, enabling seamless integration from various SAP and third-party sources, whether on-premises or in the cloud. By transforming raw data into a reliable resource, SAP Data Services helps streamline processes and maximize organizational efficiency. Key Features and Functionality: - Universal Data Access: Integrate data from all enterprise sources and targets using built-in, native connectors, ensuring comprehensive data accessibility. - Native-Text Data Processing: Extract meaningful insights from unstructured text data, enhancing business intelligence capabilities. - Intuitive User Interfaces: Standardize, correct, and match data with ease, reducing duplicates and identifying relationships through user-friendly interfaces. - Data Quality Dashboards: Monitor and visualize the impact of data quality issues across downstream systems and applications, facilitating proactive management. - Simplified Data Governance: Utilize a centralized business rule repository and object reuse to transform various data types, promoting consistent data governance. - High Performance and Scalability: Address high-volume data needs with parallel processing, grid computing, and bulk data loading capabilities, ensuring efficient data handling. Primary Value and User Solutions: SAP Data Services empowers organizations to unlock the full potential of their data by providing a unified platform for data integration and quality management. It addresses common challenges such as data silos, inconsistent data quality, and complex data landscapes by offering tools that standardize and cleanse data, reduce redundancies, and identify relationships. This leads to improved decision-making, operational efficiency, and a comprehensive view of business information. By connecting critical data across various environments—on-premises, cloud, or big data platforms—SAP Data Services enables businesses to discover valuable insights and drive better outcomes. **Average Rating:** 4.7/5.0 **Total Reviews:** 9 **How Do G2 Users Rate SAP Data Services?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Quality of Support:** 8.9/10 (Category avg: 8.9/10) - **Ease of Use:** 7.8/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind SAP Data Services?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) - **Ownership:** NYSE:SAP **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 70% Enterprise, 30% Small-Business #### What Are SAP Data Services's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Customer Support (1 reviews) - Easy Integrations (1 reviews) - Implementation Ease (1 reviews) - Integrations (1 reviews) **Cons:** - Complex UI (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About SAP Data Services? *AI-generated summary from verified user reviews* **Pros:** - Users find SAP Data Services to be **very user-friendly** , enabling quick learning and seamless integration of operations. - Users value the **24-hour customer service support** of SAP Data Services, enhancing their overall experience and satisfaction. - Users appreciate the **easy integrations** with government platforms, enhancing overall functionality and corporate operations. - Users find the **implementation ease** of SAP Data Services to be smooth, enhancing corporate operations efficiently. - Users value the **easy integration with government agencies** , enhancing corporate operations on a single platform. **Cons:** - Users find the **new graphic UI confusing** , but many manage to use the tool effectively. - Users find the **steep learning curve** requires significant training before they can effectively use SAP Data Services. - Users find that **learning difficulty** hinders effective use of SAP Data Services, necessitating extensive training beforehand. #### What Are Recent G2 Reviews of SAP Data Services? **"[SAP Data](https://www.g2.com/survey_responses/sap-data-services-review-10388112)"** **Rating:** 5.0/5.0 stars *— Tammy O.* [Read full review](https://www.g2.com/survey_responses/sap-data-services-review-10388112) --- **"[One of the best data management tools out therecl](https://www.g2.com/survey_responses/sap-data-services-review-10348563)"** **Rating:** 4.5/5.0 stars *— Kunal N.* [Read full review](https://www.g2.com/survey_responses/sap-data-services-review-10348563) --- ### 11. [Informatica Cloud Mass Ingestion](https://www.g2.com/products/informatica-cloud-mass-ingestion/reviews) Informatica Cloud Mass Ingestion is a cloud-native solution designed to facilitate the rapid and efficient ingestion and replication of enterprise data into cloud data warehouses, lakes, and messaging hubs. It supports various data ingestion methods, including batch processing, streaming, real-time, and change data capture (CDC, enabling organizations to handle vast amounts of data seamlessly. Key Features and Functionality: - Quick Task Creation: Utilizes a four-step, wizard-based interface to build data ingestion jobs in minutes, simplifying the setup process. - Simplified Data Ingestion: Offers a cloud-native solution with out-of-the-box connectivity, streamlining the ingestion and replication of data from diverse sources. - Flexible Scaling: Capable of ingesting terabytes of data using batch, streaming, or CDC methods, accommodating various data types and volumes. - Comprehensive Source Support: - Database and CDC Ingestion: Supports batch or CDC ingestion from relational databases such as Oracle, SQL Server, and MySQL. - Application Ingestion: Ingests data from applications like Salesforce, SAP ECC, and Dynamics 365. - Streaming Data Ingestion: Collects, filters, combines, and ingests data from streaming and IoT endpoints. - File Ingestion: Facilitates the transfer of files of any size with scalability and optimization. Primary Value and User Solutions: Informatica Cloud Mass Ingestion addresses the challenges of efficiently managing large-scale data ingestion by providing a unified, code-free platform that accelerates the process. It enables organizations to quickly ingest and replicate data from a variety of sources, ensuring that analytics and AI initiatives are fueled with timely and accurate data. By simplifying the ingestion process and offering flexible scaling options, it reduces operational costs and enhances the agility of data management strategies. **Average Rating:** 4.4/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Informatica Cloud Mass Ingestion?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Quality of Support:** 8.3/10 (Category avg: 8.9/10) - **Ease of Use:** 9.2/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Informatica Cloud Mass Ingestion?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 40% Enterprise #### What Are Recent G2 Reviews of Informatica Cloud Mass Ingestion? **"[Helpful for learning Materials](https://www.g2.com/survey_responses/informatica-cloud-mass-ingestion-review-8705517)"** **Rating:** 4.5/5.0 stars *— Trung R.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-mass-ingestion-review-8705517) --- **"[processing and massive data ingestion in the cloud](https://www.g2.com/survey_responses/informatica-cloud-mass-ingestion-review-8565026)"** **Rating:** 5.0/5.0 stars *— Miguel P.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-mass-ingestion-review-8565026) --- #### What Are G2 Users Discussing About Informatica Cloud Mass Ingestion? - [Is Informatica a data ingestion tool?](https://www.g2.com/discussions/informatica-cloud-mass-ingestion-is-informatica-a-data-ingestion-tool) - [Is Informatica a data ingestion tool?](https://www.g2.com/discussions/is-informatica-a-data-ingestion-tool) - [What is cloud ingestion?](https://www.g2.com/discussions/informatica-cloud-mass-ingestion-what-is-cloud-ingestion) - [What is cloud ingestion?](https://www.g2.com/discussions/what-is-cloud-ingestion) - [What are all advantages of Informatica Cloud Platform?](https://www.g2.com/discussions/informatica-cloud-mass-ingestion-what-are-all-advantages-of-informatica-cloud-platform-aa4eb423-7270-4a9b-8075-7dcb4a809d27) ### 12. [Scikiq: Comprehensive Data Management Platform](https://www.g2.com/products/scikiq-comprehensive-data-management-platform/reviews) SCIKIQ help make AI possible for enterprises. SCIKIQ brings together everything an enterprise needs to scale AI, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents, all in one platform. SCIKIQ brings Data Hub, a Unified Data Layer, a foundational architecture that creates a single version of truth across all data sources, departments, and use cases within the enterprise. SCIKIQ Data Hub brings Data integration, Processing and Curation, Data Governance and Data Visualisation all in one platform. It also brings Gen AI studio, Agentic AI and Auto ML studio for your AI Initiatives. Our Conversation (Self Service) Analytics, prompt to process (data analytics, Dashboards, Agents, insights & products) AI Co-pilot is among the best in the world Recognized by Forrester as top 34 AI enabled platform in the world, By NASSCOM in top 10 in Deep Tech club and By YourStory and Inc Media in Top 30 companies to watch. Selected by AWS to showcase at MWC and AWS re:Invent **Average Rating:** 4.6/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Scikiq: Comprehensive Data Management Platform?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10) - **Quality of Support:** 9.0/10 (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 Scikiq: Comprehensive Data Management Platform?** - **Seller:** [SCIKIQ](https://www.g2.com/sellers/scikiq) - **Year Founded:** 2023 - **HQ Location:** Gurgaon - **Twitter:** @scikiq (9 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/SCIKIQ (38 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 36% Enterprise, 36% Small-Business #### What Are Scikiq: Comprehensive Data Management Platform's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Data Management (3 reviews) - Functionality (3 reviews) - Data Integration (2 reviews) - Easy Setup (2 reviews) **Cons:** - Complexity Issues (2 reviews) - Complexity (1 reviews) - Data Management (1 reviews) - Expensive (1 reviews) - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About Scikiq: Comprehensive Data Management Platform? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Scikiq, appreciating its intuitive design and drag-and-drop functionality. - Users value the **intuitive no-code interface** of Scikiq, enabling effortless management of complex data workflows. - Users value the **seamless integration and customization** of Scikiq, enjoying a user-friendly no-code data management experience. - Users value the **seamless data integration** capabilities of Scikiq, enabling efficient management of complex data workflows. - Users value the **easy setup** of Scikiq, highlighting its intuitive interface and minimal technical requirements. **Cons:** - Users find the **complexity in implementation** of Scikiq frustrating, especially when integrating with other platforms. - Users find some features to be **complex** , which can hinder their overall experience with Scikiq. - Users face **complex implementation** challenges with Scikiq, making data management more difficult than anticipated. - Users feel the software is **too pricey** compared to similar platforms available in the market. - Users find **integration issues** with some platforms frustrating, adding to the complexity of using Scikiq. #### What Are Recent G2 Reviews of Scikiq: Comprehensive Data Management Platform? **"[Great Platform to Manage Data](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11101797)"** **Rating:** 5.0/5.0 stars *— Sualeh N.* [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11101797) --- **"[A Powerful No-Code Platform for Unified Data Management and AI-Driven Insights](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11102013)"** **Rating:** 5.0/5.0 stars *— Mohammad Talha S.* [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11102013) --- ### 13. [Datazip](https://www.g2.com/products/datazip/reviews) Discover Datazip, a comprehensive no-code data engineering solution designed for time-conscious analysts and operators. Simplify your data management process by consolidating dispersed data sources, utilizing ETL, data warehousing, and transformation capabilities. With Datazip's intuitive platform, create a dependable, scalable data infrastructure in a mere 45 minutes. Experience swift data connections, robust querying, and smooth exporting to drive insightful decision-making. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Datazip?** - **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:** 9.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Datazip?** - **Seller:** [Datazip, Inc.](https://www.g2.com/sellers/datazip-inc) - **Year Founded:** 2022 - **HQ Location:** Lewes, US - **LinkedIn® Page:** https://www.linkedin.com/company/datazipio/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Small-Business, 31% Mid-Market #### What Are Recent G2 Reviews of Datazip? **"[Datazip platform is easy to use because it has a user-friendly interface(drag and drop option).](https://www.g2.com/survey_responses/datazip-review-7949232)"** **Rating:** 5.0/5.0 stars *— Sanjay D.* [Read full review](https://www.g2.com/survey_responses/datazip-review-7949232) --- **"[Datazip is all about visibility!](https://www.g2.com/survey_responses/datazip-review-8191979)"** **Rating:** 5.0/5.0 stars *— Aakarsh Y.* [Read full review](https://www.g2.com/survey_responses/datazip-review-8191979) --- ### 14. [Axtria DataMAx](https://www.g2.com/products/axtria-datamax/reviews) Axtria DataMAx™ is the next generation global cloud-based commercial Life Sciences data management product enabling accelerated actionable business insights from trusted data. Axtria DataMAx™ facilitates the rapid integration of all major structured and unstructured life sciences data sources, securely, accurately, and with industry compliance. Data quality and business management rules are applied to make sure the data being processed is conditioned for its intended use and can be trusted. Users can provision data mart creation for downstream consumption and reporting by analytics systems, models, or individual data stewards. **Average Rating:** 4.3/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Axtria DataMAx?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Axtria DataMAx?** - **Seller:** [Axtria](https://www.g2.com/sellers/axtria) - **Year Founded:** 2010 - **HQ Location:** Berkeley Heights, NJ - **Twitter:** @Axtria (3,213 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/789643 (3,604 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Axtria DataMAx? **"[DataMatically Super](https://www.g2.com/survey_responses/axtria-datamax-review-7542961)"** **Rating:** 4.5/5.0 stars *— Nitin P.* [Read full review](https://www.g2.com/survey_responses/axtria-datamax-review-7542961) --- **"[Good choice for Bigdata analytics](https://www.g2.com/survey_responses/axtria-datamax-review-7673087)"** **Rating:** 4.5/5.0 stars *— Divya S.* [Read full review](https://www.g2.com/survey_responses/axtria-datamax-review-7673087) --- ### 15. [HVR](https://www.g2.com/products/hvr/reviews) HVR is a real-time data replication solution designed to move large volumes of data FAST and efficiently in hybrid environments for real-time analytics. With HVR, discover the benefits of using log-based change data capture for replicating data from common DBMS such as SQL Server, Oracle, SAP Hana, and more to sources such as AWS, Azure, Teradata and more. **Average Rating:** 4.2/5.0 **Total Reviews:** 13 **How Do G2 Users Rate HVR?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **Quality of Support:** 8.1/10 (Category avg: 8.9/10) - **Ease of Use:** 7.8/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind HVR?** - **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran) - **Year Founded:** 2012 - **HQ Location:** Oakland, CA - **Twitter:** @fivetran (5,767 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,848 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 77% Enterprise, 15% Mid-Market #### What Are Recent G2 Reviews of HVR? **"[Awesome powerful product](https://www.g2.com/survey_responses/hvr-review-4737651)"** **Rating:** 5.0/5.0 stars *— David K.* [Read full review](https://www.g2.com/survey_responses/hvr-review-4737651) --- **"[Good experiences with HVR in our company.](https://www.g2.com/survey_responses/hvr-review-4683517)"** **Rating:** 5.0/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/hvr-review-4683517) --- #### What Are G2 Users Discussing About HVR? - [How much is H&R?](https://www.g2.com/discussions/how-much-is-h-r) - [What is CDC tool?](https://www.g2.com/discussions/what-is-cdc-tool) - [How HVR works?](https://www.g2.com/discussions/how-hvr-works) - [What is HVR used for?](https://www.g2.com/discussions/what-is-hvr-used-for) ### 16. [Palantir Gotham](https://www.g2.com/products/palantir-gotham/reviews) Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insights from complex data for global defense agencies, the intelligence community, disaster relief organizations, and beyond. Gotham joins and enriches massive volumes of near-real time data and presents them in a single view that enables users to make faster, more confident decisions, together. Decision makers from headquarters to the forward deployed edge access the most recent understanding of the world, and can act while accounting for global tradeoffs and dependencies. **Average Rating:** 4.3/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Palantir Gotham?** - **Quality of Support:** 9.4/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Palantir Gotham?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (425,595 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,858 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Enterprise #### What Are Recent G2 Reviews of Palantir Gotham? **"[Get Everything About Your data With Palantir Gotham](https://www.g2.com/survey_responses/palantir-gotham-review-8595794)"** **Rating:** 4.5/5.0 stars *— Amruta k.* [Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8595794) --- **"[Palantir Gotham - Unleashing the Power of Data Analysis](https://www.g2.com/survey_responses/palantir-gotham-review-8332874)"** **Rating:** 4.0/5.0 stars *— Prashant T.* [Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8332874) --- #### What Are G2 Users Discussing About Palantir Gotham? - [What is Palantir Gotham used for?](https://www.g2.com/discussions/palantir-gotham-what-is-palantir-gotham-used-for) - [What is Palantir Gotham used for?](https://www.g2.com/discussions/what-is-palantir-gotham-used-for) ### 17. [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews) Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence. **Average Rating:** 4.3/5.0 **Total Reviews:** 92 **How Do G2 Users Rate Talend Cloud Data Integration?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.5/10 (Category avg: 8.8/10) - **Ease of Admin:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Talend Cloud Data Integration?** - **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?** - **Who Uses This:** Software Analyst, Data Engineer - **Top Industries:** Pharmaceuticals, Information Technology and Services - **Company Size:** 64% Enterprise, 30% Mid-Market #### What Are Recent G2 Reviews of Talend Cloud Data Integration? **"[Talend Application Used for past 5 years - Great Experience](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989) --- **"[A great tool that makes data integration easy.](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)"** **Rating:** 4.5/5.0 stars *— Verle P.* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380) --- #### What Are G2 Users Discussing About Talend Cloud Data Integration? - [What do you like most about Talend Cloud Data Integration, and how has it improved your ETL processes?](https://www.g2.com/discussions/what-do-you-like-most-about-talend-cloud-data-integration-and-how-has-it-improved-your-etl-processes) - [What is Talend Cloud Data Integration used for?](https://www.g2.com/discussions/what-is-talend-cloud-data-integration-used-for) - [What does Talend software do?](https://www.g2.com/discussions/talend-cloud-data-integration-what-does-talend-software-do) - [What is Talend data fabric?](https://www.g2.com/discussions/what-is-talend-data-fabric) - [What is Talend Integration Cloud?](https://www.g2.com/discussions/what-is-talend-integration-cloud) ### 18. [Ascend.io](https://www.g2.com/products/ascend-io-ascend-io/reviews) Ascend.io is an agentic data engineering platform that enables data teams to build, automate, and optimize pipelines across the entire data lifecycle. The platform combines a metadata-driven automation engine with integrated AI agents, allowing engineers to focus on delivering data outcomes rather than managing operational overhead. Traditional data architectures rely on multiple point solutions—one for ingestion, another for transformation, a third for orchestration. This fragmentation makes automation difficult and creates operational burden. Ascend unifies these capabilities in a single environment, giving AI agents full context to take meaningful action across the entire data ecosystem. The platform handles ingestion, transformation, orchestration, and delivery within one unified system, eliminating the need to stitch together disparate tools with custom code. Otto, the platform's AI copilot, helps engineers generate code, write documentation, troubleshoot incidents, and optimize performance—all within the context of their actual pipelines. DataOps Agents handle routine operational tasks including incident response, code reviews, and performance monitoring, reducing the maintenance burden that typically consumes significant engineering capacity. The Intelligence Core continuously collects metadata across code, infrastructure, and data lineage, enabling the system to detect changes and propagate updates automatically without manual intervention. Smart Components track code fingerprints and data lineage to execute incremental processing efficiently, reducing compute costs and processing time. Ascend connects natively to major cloud data warehouses including Snowflake, Databricks, BigQuery, and MotherDuck. Organizations use the platform to modernize legacy ETL systems, implement data mesh architectures, and prepare data for AI and machine learning workloads. The platform serves data engineering and platform teams across healthcare, financial services, retail, media, and manufacturing. The platform's AI-native architecture differentiates it from solutions that treat AI as an add-on feature. The unified design provides AI agents with comprehensive context across the data ecosystem, enabling them to take action on issues rather than simply surfacing alerts. **Average Rating:** 4.7/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Ascend.io?** - **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:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Ascend.io?** - **Seller:** [Ascend.io](https://www.g2.com/sellers/ascend-io-71765567-7679-4b4f-9ab8-867fdacc2bb6) - **Company Website:** https://www.ascend.io - **Year Founded:** 2015 - **HQ Location:** Palo Alto, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/ascend-io/ (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Small-Business, 11% Mid-Market #### What Are Ascend.io's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Automation (5 reviews) - Efficiency Improvement (5 reviews) - Flexibility (4 reviews) - Solution Efficiency (4 reviews) **Cons:** - Difficult Learning (3 reviews) - Learning Curve (3 reviews) - Learning Difficulty (3 reviews) - Limited Features (3 reviews) - Steep Learning Curve (3 reviews) ### What Do G2 Reviewers Say About Ascend.io? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Ascend.io, enabling them to work smarter and faster with minimal intervention. - Users value the **automation capabilities** of Ascend.io, greatly reducing time spent on repetitive data engineering tasks. - Users benefit from **significant efficiency improvements** with Ascend.io, enabling faster data workflows and reduced manual oversight. - Users value the **flexibility** of Ascend.io, enabling smarter, faster solutions for data pipeline challenges without constraints. - Users value the **solution efficiency** of Ascend.io, enabling rapid data pipeline creation and reducing repetitive tasks significantly. **Cons:** - Users face a **difficult learning curve** transitioning to Ascend.io's declarative model from traditional coding practices. - Users face a significant **learning curve** transitioning to Ascend.io's declarative mindset and understanding its features. - Users experience a noticeable **learning difficulty** with Ascend.io, particularly when transitioning to its declarative model. - Users criticize the **limited features** of Ascend.io, noting challenges in model selection and usability. - Users face a **steep learning curve** transitioning to Ascend.io's declarative model, especially from imperative programming backgrounds. #### What Are Recent G2 Reviews of Ascend.io? **"[Agentic Data Engineering Shows Real Promise, But Requires Mental Shift](https://www.g2.com/survey_responses/ascend-io-review-12297132)"** **Rating:** 4.5/5.0 stars *— Stefano T.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12297132) --- **"[Ascend.io demonstrates how powerful agents are](https://www.g2.com/survey_responses/ascend-io-review-12345212)"** **Rating:** 5.0/5.0 stars *— Alina V.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12345212) --- ### 19. [BOLTIC.IO](https://www.g2.com/products/boltic-io/reviews) Boltic is a powerful, cloud-based platform designed to streamline business operations through advanced automation and data management. Boltic's capabilities: 🔄 Workflow Automation: Automate and optimize complex business processes with customizable workflows. 📊 Real-Time Analytics: Gain actionable insights with real-time data processing and analytics. 🔗 Extensive Integrations: Seamlessly connect with numerous APIs, databases, and services. 🌍 Multi-Region Support: Deploy applications across multiple geographic regions for improved performance and compliance. 🖥️ Serverless Computing: Scale effortlessly with serverless architecture that handles infrastructure management. 📡 Event Streaming: Capture and analyze event data in real time for immediate operational intelligence. What can you achieve from Boltic? ✅ As a developer - take a break from writing-running simple queries to doing more productive and value-driven work ✅ As a business user - become self-sufficient in discovering & exploring data ✅ As an organisation - optimize your cost, by paying for just one product instead of multiple products **Average Rating:** 5.0/5.0 **Total Reviews:** 5 **How Do G2 Users Rate BOLTIC.IO?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 9.7/10 (Category avg: 8.8/10) - **Ease of Admin:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind BOLTIC.IO?** - **Seller:** [Boltic](https://www.g2.com/sellers/boltic) - **HQ Location:** Mumbai, IN - **LinkedIn® Page:** https://www.linkedin.com/company/officialboltic (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 20% Enterprise #### What Are Recent G2 Reviews of BOLTIC.IO? **"[Its a Good tool for your event and data processing](https://www.g2.com/survey_responses/boltic-io-review-9506834)"** **Rating:** 5.0/5.0 stars *— Abhishek T.* [Read full review](https://www.g2.com/survey_responses/boltic-io-review-9506834) --- **"[Streamlining Machine Learning with Boltic's AutoML Feature](https://www.g2.com/survey_responses/boltic-io-review-9510066)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/boltic-io-review-9510066) --- ### 20. [Lenses](https://www.g2.com/products/lenses/reviews) Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io **Average Rating:** 4.2/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Lenses?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Quality of Support:** 7.4/10 (Category avg: 8.9/10) - **Ease of Use:** 9.4/10 (Category avg: 8.8/10) - **Ease of Admin:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Lenses?** - **Seller:** [Lenses.io Ltd](https://www.g2.com/sellers/lenses-io-ltd) - **Company Website:** https://lenses.io/ - **Year Founded:** 2016 - **HQ Location:** London, England - **Twitter:** @lensesio (732 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lensesio/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 35% Mid-Market #### What Are Lenses's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - User Interface (6 reviews) - Features (4 reviews) - Intuitive (4 reviews) - Data Management (3 reviews) **Cons:** - Feature Limitations (5 reviews) - Limitations (5 reviews) - Limited Access (3 reviews) - Missing Features (3 reviews) - Product Maturity (3 reviews) ### What Do G2 Reviewers Say About Lenses? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Lenses, finding it simple and effective for managing Kafka resources. - Users value the **user-friendly interface** of Lenses, appreciating its simplicity and clear organization for easy navigation. - Users value the **user-friendly visualization** and SQL querying capabilities of Lenses, enhancing their Kafka experience. - Users love the **intuitive design** of Lenses, making it accessible and easy to use for all skill levels. - Users value the **reliable data management** capabilities of Lenses, which simplifies SQL queries and stream handling. **Cons:** - Users note the **feature limitations** of Lenses, risking vendor lock-in and hindering flexibility and progress. - Users express concern over **vendor lock-in and limited feature updates** , affecting flexibility and long-term usability of Lenses. - Users express concerns about **limited access** due to vendor lock-in, affecting flexibility and long-term usability. - Users note the **lack of significant features** in Lenses, highlighting stagnant progress and minimal improvements over the years. - Users express concerns over **product maturity** , citing unresolved bugs, stagnation, and insufficient documentation impacting their experience. #### What Are Recent G2 Reviews of Lenses? **"[Using Lenses for years, pros and cons](https://www.g2.com/survey_responses/lenses-review-11974835)"** **Rating:** 4.0/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/lenses-review-11974835) --- **"[Reliable tool for managing and searching data streams](https://www.g2.com/survey_responses/lenses-review-11971548)"** **Rating:** 4.5/5.0 stars *— Jose Manuel C.* [Read full review](https://www.g2.com/survey_responses/lenses-review-11971548) --- ### 21. [Palantir Foundry](https://www.g2.com/products/palantir-foundry/reviews) Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base. **Average Rating:** 4.1/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Palantir Foundry?** - **Has the product been a good partner in doing business?:** 5.0/10 (Category avg: 8.9/10) - **Quality of Support:** 7.7/10 (Category avg: 8.9/10) - **Ease of Use:** 7.6/10 (Category avg: 8.8/10) - **Ease of Admin:** 5.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Palantir Foundry?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (425,595 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,858 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 36% Enterprise, 36% Small-Business #### What Are Palantir Foundry's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - AI Features (1 reviews) - AI Integration (1 reviews) - AI Modeling (1 reviews) - Analysis Efficiency (1 reviews) **Cons:** - Expensive (1 reviews) - Limited Customization (1 reviews) - Limited Features (1 reviews) - Limited Options (1 reviews) ### What Do G2 Reviewers Say About Palantir Foundry? *AI-generated summary from verified user reviews* **Pros:** - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users value the **AI integration** of Palantir Foundry, enhancing their tech stack and improving data workflows. - Users appreciate the **AI modeling capabilities** of Palantir Foundry, seamlessly integrating AI workflows into their data systems. - Users value the **analysis efficiency** of Palantir Foundry, streamlining processes from data ingestion to analytics creation. **Cons:** - Users feel that while Palantir Foundry is **expensive** , it delivers valuable features worth the investment. - Users find **limited customization** options in Palantir Foundry, restricting their ability to tailor the platform to specific needs. - Users find **limited features** in Palantir Foundry, with minimal customization options compared to open-source alternatives. - Users find the **limited customization options** of Palantir Foundry restrictive compared to more open-source alternatives. #### What Are Recent G2 Reviews of Palantir Foundry? **"[Palantir Foundry: Seamlessly Integrating AI Workflows into Our Data Ecosystem](https://www.g2.com/survey_responses/palantir-foundry-review-12241359)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-12241359) --- **"[Best Review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061)"** **Rating:** 5.0/5.0 stars *— Muhammad V.* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061) --- ### 22. [PHEMI Health DataLab](https://www.g2.com/products/phemi-health-datalab/reviews) The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. Built on privacy-by-design principles, the software gives researchers, scientists, and clinicians faster access to more information while ensuring that they only see data on a need-to-know basis. Responsible data sharing and a governance framework facilitate compliance with privacy regulations. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. For more information, visit https://www.phemi.com/ and follow us on Twitter @PHEMISystems, Linkedin, Youtube, and Facebook **Average Rating:** 3.9/5.0 **Total Reviews:** 6 **How Do G2 Users Rate PHEMI Health DataLab?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.9/10) - **Quality of Support:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 9.6/10 (Category avg: 8.8/10) - **Ease of Admin:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind PHEMI Health DataLab?** - **Seller:** [PHEMI Systems](https://www.g2.com/sellers/phemi-systems) - **Year Founded:** 2013 - **HQ Location:** Vancouver, CA - **Twitter:** @PHEMIsystems (744 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3561810 (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Enterprise #### What Are Recent G2 Reviews of PHEMI Health DataLab? **"[Trustworthy datalab](https://www.g2.com/survey_responses/phemi-health-datalab-review-7866495)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/phemi-health-datalab-review-7866495) --- **"[Great!](https://www.g2.com/survey_responses/phemi-health-datalab-review-6670863)"** **Rating:** 5.0/5.0 stars *— Danielle H.* [Read full review](https://www.g2.com/survey_responses/phemi-health-datalab-review-6670863) --- #### What Are G2 Users Discussing About PHEMI Health DataLab? - [What is PHEMI Health DataLab used for?](https://www.g2.com/discussions/what-is-phemi-health-datalab-used-for) ### 23. [Syniti Knowledge Platform](https://www.g2.com/products/syniti-syniti-knowledge-platform/reviews) A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, and master data management into one unified platform. SKP aims to deliver trustworthy, optimized, and actionable data across businesses, ensuring successful digital transformations with minimal disruption. Able to support the most complex migrations, such as transitioning to SAP S/4HANA, SKP’s unified data management capabilities drive better business outcomes. SKP is an essential tool for enterprises looking to manage their data effectively and leverage it for strategic advantage. Its comprehensive features and benefits make it a valuable asset for any business aiming to improve data quality, governance, and overall management. SKP helps businesses achieve successful digital transformations with minimal disruption. **Average Rating:** 4.2/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Syniti Knowledge Platform?** - **Has the product been a good partner in doing business?:** 7.5/10 (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:** 7.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Syniti Knowledge Platform?** - **Seller:** [Syniti](https://www.g2.com/sellers/syniti) - **Year Founded:** 1996 - **HQ Location:** Needham, MA - **LinkedIn® Page:** https://www.linkedin.com/company/backoffice-associates (391 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 71% Enterprise, 43% Mid-Market #### What Are Recent G2 Reviews of Syniti Knowledge Platform? **"[A perfect platform for Knowledge & Data Management](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7388793)"** **Rating:** 4.5/5.0 stars *— Sajjad S.* [Read full review](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7388793) --- **"[Best Data Management and Analyzing Software](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7427689)"** **Rating:** 4.5/5.0 stars *— Suraj N.* [Read full review](https://www.g2.com/survey_responses/syniti-knowledge-platform-review-7427689) --- ### 24. [AtScale](https://www.g2.com/products/atscale/reviews) AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. Features: -Design Canvas: AtScale’s Design Canvas visually and intuitively connects to any data -Autonomous Data Engineering—Just-in-time query optimization that anticipates the needs of the data consumer. -Universal Semantic Layer—A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth. -Security & Data Governance —Centralized security policy to decentralize access using the tenants of Zero Trust. -Virtual Cube Catalog—A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse. Benefits: -No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse. -Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours. -Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice. -No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used. -Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service. -Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users. -Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering. -Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate AtScale?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Quality of Support:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) - **Ease of Admin:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind AtScale?** - **Seller:** [AtScale](https://www.g2.com/sellers/atscale) - **Year Founded:** 2013 - **HQ Location:** Boston, Massachusetts, United States - **Twitter:** @AtScale (1,109 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/atscale-inc-/ (128 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of AtScale? **"[Good Tool](https://www.g2.com/survey_responses/atscale-review-7448491)"** **Rating:** 4.0/5.0 stars *— Saloni J.* [Read full review](https://www.g2.com/survey_responses/atscale-review-7448491) --- **"[Best tool to get advanced analytics on big data](https://www.g2.com/survey_responses/atscale-review-7704555)"** **Rating:** 4.5/5.0 stars *— Ajeet M.* [Read full review](https://www.g2.com/survey_responses/atscale-review-7704555) --- #### What Are G2 Users Discussing About AtScale? - [What is AtScale used for?](https://www.g2.com/discussions/what-is-atscale-used-for) ### 25. [Decodable](https://www.g2.com/products/decodable/reviews) Decodable radically simplifies real-time ETL with a powerful, easy-to-use real-time ETL platform. By removing the challenges of building and maintaining infrastructure and pipelines, Decodable enables data teams to eliminate overhead, easily connect sources, perform real-time transformations, and reliably deliver data to any destination. **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Decodable?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.4/10 (Category avg: 8.9/10) - **Ease of Use:** 8.5/10 (Category avg: 8.8/10) - **Ease of Admin:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Decodable?** - **Seller:** [Decodable](https://www.g2.com/sellers/decodable) - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **Twitter:** @Decodableco (2,639 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/decodable/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 38% Mid-Market #### What Are Decodable's Pros and Cons? **Pros:** - Automation (2 reviews) - Ease of Use (2 reviews) - Easy Setup (2 reviews) - Features (2 reviews) - Implementation Ease (2 reviews) **Cons:** - Not User-Friendly (1 reviews) - Performance Issues (1 reviews) - Poor Customer Support (1 reviews) - Poor Performance (1 reviews) - Resource Intensive Learning (1 reviews) ### What Do G2 Reviewers Say About Decodable? *AI-generated summary from verified user reviews* **Pros:** - Users love the **automation capabilities** of Decodable, streamlining pipeline migration and reducing maintenance efforts effortlessly. - Users find Decodable to be a **very easy to use** platform, facilitating quick and straightforward data pipeline assembly. - Users find Decodable's **easy setup** enables quick prototype assembly and effective data flow visualization. - Users appreciate the **ease of use and quick setup** of Decodable, simplifying real-time data management and pipeline migration. - Users find Decodable's **implementation ease** impressive, quickly migrating pipelines with minimal adjustments and efficient testing. **Cons:** - Users find the **FAQ poorly organized** , often needing to contact support, though responses are prompt. - Users experience **performance issues** with Decodable, reporting slow processing speeds and overloaded tasks even at small sizes. - Users find the **poorly organized FAQ** leads to frequent support inquiries, though responses are fast. - Users report **poor performance** with Decodable, processing only 1 to 2 records per second, which is inefficient. - Users find Decodable to be **resource intensive for learning** , with slow processing rates limiting efficiency and scalability. #### What Are Recent G2 Reviews of Decodable? **"[Unlocks AI applications by Simplifying Real-time Streaming and Infrastructure](https://www.g2.com/survey_responses/decodable-review-9930376)"** **Rating:** 4.5/5.0 stars *— Kevin K.* [Read full review](https://www.g2.com/survey_responses/decodable-review-9930376) --- **"[Onboarding could not be more easy](https://www.g2.com/survey_responses/decodable-review-10764019)"** **Rating:** 5.0/5.0 stars *— Martin S.* [Read full review](https://www.g2.com/survey_responses/decodable-review-10764019) --- ## 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.