# Best ETL Tools - Page 4 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Databricks is the top-ranked ETL tool in 2026, rated 4.6 out of 5 on G2 based on 1,300+ verified reviews. Celigo stands out as the highest-rated option at 4.7 stars, particularly favored by NetSuite-centric organizations seeking seamless app integration and ease of use. 1. Databricks — 4.6/5 (1,300+ reviews): Unified lakehouse pipelines with governance and ML workflows 2. Celigo — 4.6/5 (1,000+ reviews): NetSuite-centered app integration and sync 3. Google Cloud BigQuery — 4.5/5 (1,200+ reviews): Serverless analytics on large cloud datasets 4. Alteryx — 4.6/5 (800+ reviews): Drag-and-drop data prep and reporting automation 5. IBM watsonx.data — 4.4/5 (100+ reviews): Lakehouse querying across object storage *Updated June 2026. Based on 2026 G2 verified review data across 1,780 products.* ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading. ### Core Capabilities of ETL Tools To qualify for inclusion in the ETL category, a product must: - Facilitate extract, transform, and load processes - Transform data for quality or visualization - Audit or record integration data - Archive data for backup, future reference, or analysis ### Common Use Cases for ETL Tools Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include: - Replicating data from source systems into [data warehouses](https://www.g2.com/categories/data-warehouse) for centralized analytics - Cleansing and transforming raw data into structured, queryable formats - Building visual data workflows to automate recurring data transfer and integration processes ### How ETL Tools Differ from Other Tools ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While [data integration tools](https://www.g2.com/categories/data-integration-tools) cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities. ### Insights from G2 on ETL Tools Based on category trends on G2, visual workflow builders and pre-built connectors stand out as standout features. These platforms deliver reductions in manual data preparation time and improved data quality as core benefits of ETL adoption. ## Top ETL Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,285 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)" | | 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Go for it if you’re looking for a solid integration platform](https://www.g2.com/survey_responses/celigo-review-11876505)" | | 3 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,145 reviews) | Serverless analytics on large cloud datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (830 reviews) | Drag-and-drop data prep and reporting automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)" | | 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (124 reviews) | Geospatial and multi-format data transformation | "[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)" | | 7 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (782 reviews) | Managed connector-based data ingestion | "[Trouble-Free Data Pipelines with Effortless Connections to Nearly Every Service](https://www.g2.com/survey_responses/fivetran-review-12999542)" | | 8 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (999 reviews) | Self-service ETL feeding business dashboards | "[Interactive Real-Time Dashboards That Make Complex Data Easy](https://www.g2.com/survey_responses/domo-review-13003120)" | | 9 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (749 reviews) | Low-code workflow automation across SaaS apps | "[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)" | | 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (324 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Quick Data Connections Without Engineering Overhead](https://www.g2.com/survey_responses/skyvia-review-13059498)" | --- ## What Are the Most Common Questions About ETL Tools? *AI-generated · Last updated: May 26, 2026* ### How to evaluate ETL tools based on performance and transformation logic? Based on G2 reviews, buyers evaluating ETL tools for performance and transformation logic should focus on how well platforms handle large data volumes, connect multiple sources, and support dependable transformations without excessive manual work. According to verified users, strong options are often described as fast, scalable, and capable of simplifying complex workflows while supporting SQL, APIs, batch jobs, or real-time processing. G2 reviewers mention that practical evaluation also comes down to how easy pipelines are to debug, how clearly data flows can be monitored, and whether transformations can be reused or automated. Reviews also consistently call out tradeoffs such as steep learning curves, slow troubleshooting, or heavy resource use, so teams should weigh speed and flexibility against maintainability. ### What best ETL platforms with version control and team collaboration features? Based on G2 reviews, Databricks stands out strongly for ETL teams that want version-aware development and collaboration in one environment. According to verified users, Databricks is frequently praised for shared notebooks, Git-based repo sync, CI/CD support, and a workspace that helps engineers, analysts, and data teams work together on pipelines, transformations, and analytics. G2 reviewers mention that these collaboration features help reduce coordination overhead and make onboarding easier, especially when multiple users are working across notebooks and workflows. At the same time, reviewers also note tradeoffs such as workspace sprawl, UI complexity at scale, and the need for discipline around administration and cost control. Overall, recent reviews point to Databricks as the clearest single-product leader here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for shared notebooks, Git-based repo sync, collaborative ETL workflows, and centralized pipeline development ### How to choose an ETL platform for multi-source data integration? Based on G2 reviews, the best way to choose an ETL platform for multi-source data integration is to look for evidence that users successfully connect databases, SaaS apps, cloud storage, APIs, spreadsheets, and warehouses without heavy custom work. According to verified users, buyers should prioritize broad connector coverage, strong transformation options, scheduling, and reliability once pipelines are live. G2 reviewers mention that teams also care about how easily data can be standardized from fragmented systems into a single reporting or analytics layer. Reviews repeatedly highlight practical concerns such as debugging difficulty, documentation quality, and connector maturity, especially for edge cases. A strong fit is usually a platform that reduces manual exports, centralizes data movement, and keeps downstream reporting consistent. ### Where to buy ETL tools with flexible pricing for startups and enterprises? Based on G2 reviews, buyers looking for ETL tools with flexible pricing should compare platforms on how predictable costs remain as usage grows, not just on entry price. According to verified users, some tools are valued because they avoid forcing separate purchases for every workflow, while others are praised for fair monthly pricing, startup-friendly plans, or capacity-based structures that make budgeting easier. G2 reviewers mention that pricing friction often appears when usage scales, connectors are gated, or cost models become hard to forecast. For startup and enterprise buyers alike, the practical signal is whether teams feel they can expand integrations without constant pricing surprises. Reviews suggest prioritizing platforms described as affordable, transparent, or cost-effective for real production use. **Here are some of the top-rated products on G2:** - [Skyvia](https://www.g2.com/products/skyvia/reviews) – favored by small and mid-sized teams for affordable no-code integrations and predictable data movement workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – chosen for managed connector setup and reliability, though reviews often discuss cost planning as volume grows - [Celigo](https://www.g2.com/products/celigo/reviews) – used for expanding business integrations with low-code flows and reusable templates across systems ### Where to find cloud-native ETL platforms for modern data stacks? Based on G2 reviews, cloud-native ETL platforms for modern data stacks are typically the ones users describe as serverless, easy to integrate with cloud warehouses and storage, and well suited for SaaS-heavy environments. According to verified users, these products often support automated syncing into tools like Snowflake, BigQuery, Redshift, or cloud lakehouse environments while reducing infrastructure management. G2 reviewers mention that buyers should look for platforms praised for quick deployment, broad cloud connectors, scheduling, and compatibility with modern analytics workflows. Reviews also show that the best cloud-native fit depends on whether your team prioritizes low maintenance, open-source flexibility, or warehouse-centric transformation. In practice, users favor platforms that shorten setup time and keep pipelines dependable at scale. ### Which ETL tools support real-time streaming data processing? Based on G2 reviews, Databricks is the clearest match for ETL buyers who need support for real-time or near real-time data processing. According to verified users, Databricks is repeatedly used for streaming alongside batch workloads, with reviewers highlighting scalable Spark-based processing, unified pipeline management, and strong support for handling large or continuously changing datasets. G2 reviewers mention that the platform helps teams bring ETL, analytics, and data engineering into one environment, which is valuable when streaming workflows need to feed downstream reporting or operational systems. Reviewers also note tradeoffs such as cluster startup delays, debugging complexity, and cost monitoring requirements, but recent review volume still makes Databricks the strongest single-winner answer here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for both batch and real-time workflows, scalable Spark processing, and unified ETL plus analytics pipelines ### What best ETL software for building scalable data pipelines? Based on G2 reviews, the strongest ETL software for scalable data pipelines is usually the one users trust for large workloads, multi-source ingestion, and long-running production workflows without constant manual fixes. According to verified users, common strengths include handling high data volumes, integrating cloud services and warehouses, automating scheduling, and supporting reusable pipeline logic. G2 reviewers mention that scalability is not just raw performance; it also depends on monitoring, governance, ease of updates, and whether teams can keep pipelines maintainable as usage grows. Reviews consistently call out Databricks, Fivetran, and FME Platform as examples of tools used for scalable pipelines, though buyers should compare complexity, connector depth, and cost discipline against their own environment. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for scalable Spark-based pipelines, unified ETL workflows, and high-volume analytics processing - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used for managed ingestion pipelines from many SaaS sources into cloud warehouses with low maintenance - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for large multi-format workflows, automated transformations, and reliable enterprise-scale data movement ### Who offers ETL tools with low-code interface and drag-and-drop builders? Based on G2 reviews, several ETL vendors offer low-code interfaces and drag-and-drop builders aimed at making integration work easier for both technical and less technical teams. According to verified users, these tools are especially valued when they reduce scripting needs, speed up pipeline creation, and make workflows easier to explain or maintain. G2 reviewers mention visual builders, reusable templates, and no-code automation as recurring strengths across multiple products. At the same time, reviews show that low-code does not always mean simple at scale, since debugging, customization, or advanced logic can still introduce complexity. Buyers should look for products whose reviews specifically mention intuitive workflow design, easier onboarding, and broad integration support. **Here are some of the top-rated products on G2:** - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for visual workflow building, drag-and-drop transformations, and automation across many systems and formats - [Workato](https://www.g2.com/products/workato/reviews) – used for low-code recipe building, connector-based integrations, and workflow automation across business apps - [Celigo](https://www.g2.com/products/celigo/reviews) – used for low-code integration flows, prebuilt templates, and automating ERP, ecommerce, and SaaS workflows ### What ETL solutions support automated error handling and retries? Based on G2 reviews, ETL solutions that support automated error handling and retries are usually the ones users describe as reliable in production and strong at surfacing failures before they disrupt downstream reporting. According to verified users, these platforms often include retry logic, monitoring, alerts, or workflow controls that reduce the need for manual intervention. G2 reviewers mention detailed error visibility as a major advantage in products like Celigo, Fivetran, and Workato, especially when teams need to manage frequent integrations across multiple systems. Reviews also note that not every product is equally transparent when something breaks, so buyers should look beyond automation claims and evaluate how easy it is to identify, retry, and resolve failures in real workflows. ### Which ETL tools integrate with popular data lakes and data warehouses? Based on G2 reviews, Databricks is the strongest single answer for ETL tools that integrate with popular data lakes and data warehouses. According to verified users, Databricks is repeatedly used in environments that combine lakehouse architecture, cloud storage, external warehouses, and downstream analytics tools. G2 reviewers mention integrations with platforms such as BigQuery, Snowflake, cloud ecosystems, BI tools, and governed data layers, all within a unified workflow for ETL, analytics, and machine learning. Reviewers also highlight that the platform reduces fragmentation by bringing multiple workloads into one environment, though they note that cost management and complexity still require attention. For buyers prioritizing broad lake and warehouse alignment, Databricks appears most consistently in recent review evidence. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used with lakehouse architectures, cloud storage, external warehouses, and BI ecosystems in one ETL environment ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 250 ### Category Stats (Jul 2026) - **Average Rating**: 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.18%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 02, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,000+ Authentic Reviews - 250+ 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 ETL Tools Is Best for Your Use Case? - **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Highest Performer:** [5X](https://www.g2.com/products/5x/reviews) - **Easiest to Use:** [Skyvia](https://www.g2.com/products/skyvia/reviews) - **Top Trending:** [Matia](https://www.g2.com/products/matia/reviews) - **Best Free Software:** [Fivetran](https://www.g2.com/products/fivetran/reviews) --- **Sponsored** ### CData Sync Unlike volume-based tools with unpredictable pricing, CData Sync offers a single platform for ETL and reverse ETL, with full deployment flexibility and fixed, scalable pricing—so your costs don’t balloon as your data grows. Connect to 250+ enterprise data sources, including: • Salesforce, Microsoft Dynamics, and SAP • SharePoint, NetSuite, Workday, and QuickBooks • ServiceNow, Xero, Sage Intacct, HubSpot, Marketo, Oracle • …and many more Replicate that data into your preferred destinations, such as: • Snowflake, Databricks, SQL Server, Redshift, OneLake, and others Deploy it your way—on-premises, in your own cloud, or in a private-cloud SaaS model. Getting started is simple: 1. Log in 2. Select your source tables 3.Set your sync interval CData Sync handles the rest, using efficient incremental updates that minimize load on your operational systems. The platform includes: • Point-and-click ETL/ELT/reverse ETL • Change Data Capture (CDC) with no elevated database permissions • Complete data control and custom SQL transformations • dbt integration CData Sync centralizes your automated data flows, giving you full control, faster delivery, and the freedom to scale without hidden fees. Download a 30-day free trial of CData Sync or learn more at: www.cdata.com/sync [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-07-03T04%3A19%3A44Z&secure%5Bdisplayable_resource_id%5D=1181&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=124922&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D4&secure%5Btoken%5D=ced06912a78ecc57fb83d001e97e7f2ead3f47322abc449193b961917ce60c77&secure%5Burl%5D=https%3A%2F%2Fwww.cdata.com%2Fsync%2F%3Futm_source%3Dg2%26utm_medium%3Dsponsored-link%26utm_campaign%3Dsync-clicks-etl-tools&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Supermetrics](https://www.g2.com/products/supermetrics/reviews) Supermetrics is a marketing intelligence platform designed to help users connect, extract, and analyze data from a wide array of marketing and sales platforms. Founded in 2010 and headquartered in Helsinki, Finland, Supermetrics aims to simplify the process of data management for businesses, allowing them to focus on strategic growth and innovation rather than getting bogged down by complex data extraction processes. Targeted primarily at marketers, analysts, and business intelligence professionals, Supermetrics serves a diverse audience ranging from small startups to large enterprises. Its capabilities are particularly beneficial for organizations that rely on multiple data sources, such as Google Analytics, Facebook Ads, and HubSpot, enabling them to consolidate their data into preferred destinations like spreadsheets or data warehouses. This functionality is essential for teams that need to generate reports quickly and efficiently, ensuring that insights are readily available for informed decision-making. One of the key features of Supermetrics is its ability to connect with over 150 different marketing and sales platforms, allowing users to pull data seamlessly without the need for extensive technical knowledge. This integration capability not only saves time but also reduces the potential for errors that can occur during manual data entry. Users can automate their reporting processes, which enhances productivity and allows teams to allocate more resources towards analysis and strategy rather than data collection. Additionally, Supermetrics stands out in the realm of marketing analytics through its user-friendly interface and robust support resources. The platform offers a range of templates and pre-built reports that cater to various marketing needs, making it easier for users to visualize their data and derive actionable insights. The platform is trusted by over 200,000 organizations globally, including prominent brands like Nestlé, Warner Bros, and Dyson, which underscores its reliability and effectiveness in the marketing intelligence space. By providing a comprehensive solution for data extraction and analysis, Supermetrics empowers businesses to harness the full potential of their data. Its recognition as one of G2’s Top 50 Best EMEA Software Companies for 2024 further highlights its commitment to innovation and excellence in marketing analytics, positioning it as a vital tool for any organization looking to enhance its data-driven decision-making capabilities. **Average Rating:** 4.4/5.0 **Total Reviews:** 816 **How Do G2 Users Rate Supermetrics?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 8.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Supermetrics?** - **Seller:** [Supermetrics](https://www.g2.com/sellers/supermetrics) - **Company Website:** https://www.supermetrics.com - **Year Founded:** 2013 - **HQ Location:** Helsinki, Uusimaa - **Twitter:** @Supermetrics (7,832 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3335913/ (492 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Digital Marketing Manager, CEO - **Top Industries:** Marketing and Advertising, Retail - **Company Size:** 55% Small-Business, 35% Mid-Market #### What Are Supermetrics's Pros and Cons? **Pros:** - Ease of Use (24 reviews) - Integrations (23 reviews) - Easy Integrations (15 reviews) - Customer Support (14 reviews) - Connectors (12 reviews) **Cons:** - Expensive (13 reviews) - Missing Features (9 reviews) - Pricing Issues (8 reviews) - Data Limitations (6 reviews) - Learning Curve (5 reviews) ### What Do G2 Reviewers Say About Supermetrics? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Supermetrics, allowing quick connections and streamlined data reporting effortlessly. - Users value the **seamless integrations** of Supermetrics, facilitating quick data connections for efficient reporting. - Users value the **easy integrations** of Supermetrics, streamlining data extraction and enhancing reporting efficiency effortlessly. - Users praise Supermetrics for its **excellent customer support** , which is responsive and genuinely helpful for troubleshooting. - Users value the **easy account connectivity** of Supermetrics, enabling quick data extraction and efficient workflow integration. **Cons:** - Users feel that the pricing is **excessive for individual users** , especially due to high costs for additional tools. - Users feel Supermetrics lacks **important features** like funnel events from GA4, affecting data pull comprehensiveness. - Users feel that the **pricing can be better** , especially for individuals navigating various package options. - Users express concerns over **data limitations** impacting their ability to connect and analyze large datasets effectively. - Users experience a **steep learning curve** , finding initial setup and navigation confusing for first-time use. #### What Are Recent G2 Reviews of Supermetrics? **"[Efficient, Reliable Data Integration and Brilliant Reporting](https://www.g2.com/survey_responses/supermetrics-review-12588126)"** **Rating:** 4.5/5.0 stars *— Stefano P.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-12588126) --- **"[Makes My Data Studio Reports A Lot More Meaningful](https://www.g2.com/survey_responses/supermetrics-review-5397555)"** **Rating:** 5.0/5.0 stars *— Trevor I.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-5397555) --- #### What Are G2 Users Discussing About Supermetrics? - [What is Supermetrics used for?](https://www.g2.com/discussions/what-is-supermetrics-used-for) - 1 comment ### 2. [ClicData](https://www.g2.com/products/clicdata/reviews) ClicData is a cloud-based data platform that spans multiple product categories: Business Intelligence, ETL, Data Warehousing and Data Lakehouse, Data Visualization, Embedded Analytics, and AI-assisted Analytics. It is built to support the full data lifecycle, from ingestion and storage to transformation, visualization, and distribution, within a single environment. Mid-market companies use ClicData to consolidate data workflows that would otherwise require separate tools for each stage. The platform is used across industries including retail, healthcare, media, manufacturing, and public services, by both centralized data teams and operational groups managing their own reporting needs. Our core capabilities include: - Connecting to databases, cloud applications, APIs, and flat files through a library of pre-built connectors - Storing and organizing data in an integrated data warehouse and data lake structure - Cleaning and transforming data using no-code ETL interfaces or SQL - Building dashboards and reports using a drag-and-drop editor or an AI dashboard builder that generates interactive, fully functional dashboards from plain-language prompts - Scheduling data refreshes, automating alerts, and delivering reports on defined triggers - Embedding dashboards into third-party platforms or client-facing applications - Extending analysis with Python scripts for statistical modeling or machine learning workflows For Leadership and Business Leaders ClicData provides a governed environment where data from multiple sources can be consolidated and made available across teams. It reduces dependency on ad hoc data requests by giving your team leads and operational teams direct access to up-to-date dashboards and reports. AI-assisted features support anomaly detection and automated alerting, so leadership can be notified of significant changes in key metrics without relying on manual monitoring. Scheduling and alerting features support proactive monitoring without manual intervention. For Data Practitioners Data engineers and analysts can manage the full pipeline: ingestion, transformation, modeling, and delivery without switching between tools. ClicData supports both no-code and SQL or Python-based transformation, version-controlled data flows or predictive model development. AI capabilities are accessible at the pipeline level, allowing practitioners to integrate predictive models or automated data quality checks directly into existing data flows. For Operational and Business Users Teams outside of IT can access curated dashboards, apply filters, and work with data that has already been validated upstream. AI-assisted features surface trends, forecasts, and anomalies directly within dashboards, making it possible for non-technical users to act on predictive insights without requiring analytical expertise. Embedded analytics capabilities allow organizations to surface data, including AI-generated insights, directly within the products or portals their end users already work in, without requiring those users to log into a separate BI tool. ClicData addresses the common challenge of fragmented data stacks by covering data engineering, storage, and analytics in one platform. It is suited for growing organizations looking to standardize how data is collected, managed, and consumed across different teams and functions. **Average Rating:** 4.4/5.0 **Total Reviews:** 36 **How Do G2 Users Rate ClicData?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 6.7/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 1.7/10 (Category avg: 8.1/10) **Who Is the Company Behind ClicData?** - **Seller:** [ClicData](https://www.g2.com/sellers/clicdata) - **Company Website:** https://www.clicdata.com/ - **Year Founded:** 2008 - **HQ Location:** Lille, France - **Twitter:** @ClicData (806 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/278851/ (47 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Small-Business, 32% Mid-Market #### What Are Recent G2 Reviews of ClicData? **"[Quick and simple solution to implement with a responsive and efficient helpdesk team](https://www.g2.com/survey_responses/clicdata-review-11445571)"** **Rating:** 4.5/5.0 stars *— Verified User in Restaurants* [Read full review](https://www.g2.com/survey_responses/clicdata-review-11445571) --- **"[Outstanding Customer Service and Communication from the ClicData Team](https://www.g2.com/survey_responses/clicdata-review-12848126)"** **Rating:** 4.0/5.0 stars *— Verified User in Primary/Secondary Education* [Read full review](https://www.g2.com/survey_responses/clicdata-review-12848126) --- #### What Are G2 Users Discussing About ClicData? - [What are the benefits of business intelligence?](https://www.g2.com/discussions/clicdata-what-are-the-benefits-of-business-intelligence) - [How do I create a dashboard in ClicData?](https://www.g2.com/discussions/how-do-i-create-a-dashboard-in-clicdata) - 1 comment, 1 upvote - [Is ClicData free?](https://www.g2.com/discussions/is-clicdata-free) - 1 comment - [What is CLIC software?](https://www.g2.com/discussions/what-is-clic-software) - 1 comment ### 3. [Saras Daton](https://www.g2.com/products/saras-daton/reviews) Saras Daton is a data integration and pipeline automation platform built specifically for eCommerce businesses. It helps brands centralize data from advertising platforms, marketplaces, storefronts, subscription tools, and customer engagement systems into a single analytics-ready destination. With 200+ pre-built connectors and AI-assisted setup, Daton eliminates the complexity of managing APIs, building custom integrations, and maintaining data pipelines. Teams can automate data ingestion, ensure reliable reporting, and create a trusted foundation for business intelligence, analytics, and decision-making. Key Features 200+ Pre-Built eCommerce Connectors Connect data from leading platforms including Shopify, Amazon Seller Central, Amazon Vendor Central, TikTok Shop, Meta Ads, Google Ads, Amazon Ads, Klaviyo, Recharge, Gorgias, Yotpo, and more. AI-Powered Connector Setup Configure data sources faster with guided setup workflows that help validate settings, reduce errors, and simplify onboarding for non-technical users. Natural Language Query Builder Generate complex queries using plain English. Daton's AI-powered query builder helps teams access advanced data sources without requiring deep SQL expertise. Custom Connector Development Extend Daton's capabilities with a Connector Development Kit (CDK), developer tools, and a marketplace that enables partners and teams to build, publish, and manage custom integrations. Automated Data Syncing Keep data fresh with configurable sync schedules, incremental loading, full refresh options, automatic retries, and ingestion monitoring. Data Reliability & Governance Monitor pipeline health, detect schema changes, and maintain data consistency across all connected sources. Benefits \* Centralize data from multiple eCommerce and marketing platforms \* Reduce engineering effort spent on building and maintaining integrations \* Accelerate reporting and analytics initiatives \* Enable self-service data access for business users \* Improve data accuracy and consistency across teams \* Scale data operations without increasing technical overhead Who Uses Saras Daton? Saras Daton is trusted by eCommerce operators, analytics teams, data engineers, growth marketers, and digital commerce brands looking to streamline data integration and build a reliable analytics foundation. What Makes Saras Daton Different? Unlike generic ETL solutions, Saras Daton is purpose-built for eCommerce. Its extensive connector library, AI-powered setup experience, and seamless integration with the Saras Analytics ecosystem help brands move from fragmented data to actionable insights faster. **Average Rating:** 4.7/5.0 **Total Reviews:** 37 **How Do G2 Users Rate Saras Daton?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Saras Daton?** - **Seller:** [Saras Analytics](https://www.g2.com/sellers/saras-analytics) - **Year Founded:** 2016 - **HQ Location:** Westborough, MA - **Twitter:** @SarasAnalytics (22 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sarasanalytics/ (214 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail, Consumer Goods - **Company Size:** 49% Mid-Market, 43% Small-Business #### What Are Saras Daton's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Ease of Use (3 reviews) - API Integration (2 reviews) - Connectors Quantity (2 reviews) - Data Integration (2 reviews) **Cons:** - Dashboard Usability (2 reviews) - Integration Issues (2 reviews) - Data Inaccuracy (1 reviews) - Data Limitations (1 reviews) - Error Reporting (1 reviews) ### What Do G2 Reviewers Say About Saras Daton? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **exceptional customer support** of Saras Daton, providing prompt and knowledgeable assistance for a seamless experience. - Users find Daton to be remarkably **easy to use** , streamlining workflows and simplifying the onboarding process. - Users value the **seamless API integration** of Daton, which ensures clean data transfer to their warehouse effortlessly. - Users commend the **variety of connectors** in Saras Daton, enhancing integration with different platforms effectively. - Users value the **seamless data integration** of Saras Daton, enabling efficient analysis and maximizing advertising ROI. **Cons:** - Users note that the **overabundance of dashboards** can overwhelm and hinder efficient navigation within Saras Daton. - Users find **integration issues** with Adobe Experience Manager and Amazon Marketing Cloud limit their data workflow efficiency. - Users experience **data inaccuracy** issues that arise unexpectedly, impacting the reliability of their usage. - Users experience **data inaccuracies** with Saras Daton, impacting the reliability of their data analysis and decisions. - Users experience **data inaccuracies** with Saras Daton, impacting reliability and usability during data usage. #### What Are Recent G2 Reviews of Saras Daton? **"[Essential Tool for Seamless Amazon Data Management](https://www.g2.com/survey_responses/saras-daton-review-11771290)"** **Rating:** 4.0/5.0 stars *— Mark S.* [Read full review](https://www.g2.com/survey_responses/saras-daton-review-11771290) --- **"[Smart, Simple, and Reliable Analytics](https://www.g2.com/survey_responses/saras-daton-review-11741014)"** **Rating:** 4.5/5.0 stars *— Emma I.* [Read full review](https://www.g2.com/survey_responses/saras-daton-review-11741014) --- #### What Are G2 Users Discussing About Saras Daton? - [What is Daton used for?](https://www.g2.com/discussions/what-is-daton-used-for) ### 4. [StarfishETL](https://www.g2.com/products/starfishetl/reviews) StarfishETL for Integration: StarfishETL is an iPaaS (Integration-Platform-as-a-Service) that provides seamless data integration from one database to another - whether hosted, on-premises, or in the Cloud. Connect to more than 400 applications using drag-and-drop low code functionality; AI-enabled mapping, scripting, and SQL query writing; and secure connectivity through on-premises firewalls. StarfishETL for Migration: StarfishETL is loaded with pre-built capabilities, but it's not limited by them. You have the power to set up your project any way you desire to get the data results that fit your business. Add custom fields in our Cloud Cartographer, or use the on-premises tool for more advanced personalization. StarfishETL as an iPaaS: StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution, as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections. **Average Rating:** 4.7/5.0 **Total Reviews:** 75 **How Do G2 Users Rate StarfishETL?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.6/10 (Category avg: 8.7/10) - **Auditing:** 9.6/10 (Category avg: 8.1/10) **Who Is the Company Behind StarfishETL?** - **Seller:** [Technology Advisors](https://www.g2.com/sellers/technology-advisors) - **Year Founded:** 1991 - **HQ Location:** Chicago, IL - **LinkedIn® Page:** https://www.linkedin.com/company/starfishetl/ (2 employees on LinkedIn®) - **Phone:** 847-655-3400 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 36% Enterprise, 36% Mid-Market #### What Are Recent G2 Reviews of StarfishETL? **"[StarfishETL was the one software capable of doing this](https://www.g2.com/survey_responses/starfishetl-review-7892321)"** **Rating:** 4.0/5.0 stars *— Charles C.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-7892321) --- **"[Upfront, Honest and Friendly](https://www.g2.com/survey_responses/starfishetl-review-9856115)"** **Rating:** 5.0/5.0 stars *— Kelly P.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-9856115) --- #### What Are G2 Users Discussing About StarfishETL? - [What is StarfishETL used for?](https://www.g2.com/discussions/what-is-starfishetl-used-for) ### 5. [Venn Technology](https://www.g2.com/products/venn-technology-venn-technology/reviews) Venn Technology is an award-winning professional services firm specializing in integrating accounting, ERP, and CRM solutions for midsize organizations. Our software integrations are designed to put an end to siloed processes—saving clients time and money by eliminating error-prone, time-robbing manual operations that cause continual frustration and put organizations at risk. Our mission: Integrate. Automate. Be free! **Average Rating:** 4.9/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Venn Technology?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Automation:** 9.9/10 (Category avg: 9.0/10) - **Scalability:** 9.4/10 (Category avg: 8.7/10) - **Auditing:** 9.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Venn Technology?** - **Seller:** [Venn Technology](https://www.g2.com/sellers/venn-technology) - **Year Founded:** 2015 - **HQ Location:** Grapevine, US - **Twitter:** @venn_tech (173 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/venn-technology (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 38% Mid-Market, 33% Small-Business #### What Are Venn Technology's Pros and Cons? **Pros:** - Customer Support (2 reviews) - Reliability (2 reviews) - Solutions (2 reviews) - Automation (1 reviews) - Code Generation (1 reviews) **Cons:** - Poor Customer Support (1 reviews) ### What Do G2 Reviewers Say About Venn Technology? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **exceptional customer support** from Venn Technology, highlighting their responsiveness and thorough assistance throughout projects. - Users value the **reliability** of Venn Technology, consistently delivering projects on time and exceeding expectations with quality. - Users appreciate the **professional and attentive service** from Venn Technology, delivering innovative solutions on time and within budget. - Users value the **automation capabilities** of Venn Technology, which streamline processes and enhance overall efficiency. - Users commend the **timely and reliable code generation** by Venn Technology, showcasing their consistent performance and trustworthiness. **Cons:** - Users experience **long ticket wait times** for support, which can hinder timely resolutions despite effective escalation processes. #### What Are Recent G2 Reviews of Venn Technology? **"[Confident in what is provided](https://www.g2.com/survey_responses/venn-technology-review-11011343)"** **Rating:** 5.0/5.0 stars *— Barry P.* [Read full review](https://www.g2.com/survey_responses/venn-technology-review-11011343) --- **"[Partnering with Venn was one of our best decisions..](https://www.g2.com/survey_responses/venn-technology-review-10397396)"** **Rating:** 5.0/5.0 stars *— Verified User in Government Relations* [Read full review](https://www.g2.com/survey_responses/venn-technology-review-10397396) --- ### 6. [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: 9.1/10) - **Automation:** 8.6/10 (Category avg: 9.0/10) - **Scalability:** 6.7/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **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) ### 7. [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews) Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset. **Average Rating:** 4.4/5.0 **Total Reviews:** 151 **How Do G2 Users Rate Alteryx Designer Cloud?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.7/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Alteryx Designer Cloud?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx (26,149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,304 employees on LinkedIn®) - **Ownership:** Private **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 35% Enterprise, 35% Small-Business #### What Are Recent G2 Reviews of Alteryx Designer Cloud? **"[Great way to trick people into learning relational algebra](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)"** **Rating:** 4.5/5.0 stars *— Alexander D.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085) --- **"[The Inovation is comming](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)"** **Rating:** 4.0/5.0 stars *— Carlos Alexandre T.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148) --- #### What Are G2 Users Discussing About Alteryx Designer Cloud? - [What are data wrangling tools?](https://www.g2.com/discussions/what-are-data-wrangling-tools) - [Which of the following data sources does Trifacta Enterprise Support?](https://www.g2.com/discussions/which-of-the-following-data-sources-does-trifacta-enterprise-support) - [Is Trifacta an ETL tool?](https://www.g2.com/discussions/is-trifacta-an-etl-tool) - 1 comment - [What is Trifacta used for?](https://www.g2.com/discussions/what-is-trifacta-used-for) ### 8. [Tray.ai](https://www.g2.com/products/tray-ai/reviews) Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™ **Average Rating:** 4.5/5.0 **Total Reviews:** 153 **How Do G2 Users Rate Tray.ai?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 6.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Tray.ai?** - **Seller:** [Tray.io](https://www.g2.com/sellers/tray-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @tray (3,059 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2659008/ (139 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 56% Mid-Market, 34% Small-Business #### What Are Tray.ai's Pros and Cons? **Pros:** - Easy Integrations (8 reviews) - Ease of Use (7 reviews) - Automation (5 reviews) - Customer Support (5 reviews) - Integrations (5 reviews) **Cons:** - Missing Features (4 reviews) - Complex Pricing (3 reviews) - Expensive (3 reviews) - Learning Curve (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About Tray.ai? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **easy integrations** with numerous connectors, simplifying workflow automation and enhancing operational flexibility. - Users highlight the **ease of use** of Tray.ai, making setup and automation intuitive and accessible for all. - Users value the **automation capabilities** of Tray.ai, enabling efficient workflows and seamless integration across platforms. - Users value the **incredibly helpful support community** of Tray.ai, enhancing their overall experience and solutions. - Users value the **wide-ranging integrations** of Tray.ai, enabling seamless connections across various platforms and APIs. **Cons:** - Users find **missing features** in Tray.ai, such as better version control and enhanced data visibility in workflows. - Users find the **complex pricing structure** and frequent changes challenging, complicating planning and usage. - Users find Tray.ai **expensive** and complicating, especially with inconsistent pricing and limited features for version control. - Users experience a **steep learning curve** with Tray.ai, making it challenging for newcomers to navigate its functionalities. - Users find the **complexity of the rules** in Tray.ai challenging, especially for newcomers and complicated scenarios. #### What Are Recent G2 Reviews of Tray.ai? **"[Easy-to-Identify Logs and Audit Trails](https://www.g2.com/survey_responses/tray-ai-review-12530158)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-12530158) --- **"[An Integration tool](https://www.g2.com/survey_responses/tray-ai-review-11278803)"** **Rating:** 5.0/5.0 stars *— Omji P.* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-11278803) --- #### What Are G2 Users Discussing About Tray.ai? - [What is Tray.io used for?](https://www.g2.com/discussions/what-is-tray-io-used-for) - 1 comment - [What does Tray.io do?](https://www.g2.com/discussions/what-does-tray-io-do) - [Who owns tray io?](https://www.g2.com/discussions/who-owns-tray-io) - [How much does tray IO cost?](https://www.g2.com/discussions/how-much-does-tray-io-cost) - [What is Tray io?](https://www.g2.com/discussions/what-is-tray-io) - 1 comment ### 9. [Omniscope Evo](https://www.g2.com/products/omniscope-evo/reviews) Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transform and explore it, extract insights through ML algorithms, then produce interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one self-service BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation. 🧽 Data Prep, ETL: build workflows to load, stream, blend and transform any data. 🔍 Analytics: leverage machine learning, extract insights and perform visual exploration. 📊 Visualisation: design interactive reports, publish and share your results. 📜 Extensible: augment data pipelines with your Python / R scripts, enhance reports with any JS based visualisation. 🚀 Scalable: big data preparation and live query dashboards on SQL databases. 🤝 Collaboration: multi-user synchronised edits on workflows and dashboards. 🤖 Automation API: schedule parameterised data refresh & report updates, trigger tasks, alerts, edit & query data. 💐 Universal: a fresh and smart experience on any device: Windows, Mac, Linux, Android, iOS. 🏢 Deployment: on-premises or on your cloud. Built-in user permissions / OIDC / SSO 🎨 White-label: host branded data solutions and embedded analytics **Average Rating:** 4.7/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Omniscope Evo?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 8.7/10 (Category avg: 8.7/10) - **Auditing:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Omniscope Evo?** - **Seller:** [Visokio](https://www.g2.com/sellers/visokio) - **Year Founded:** 2002 - **HQ Location:** London, GB - **Twitter:** @Visokio (255 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/658108 (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 65% Small-Business, 17% Mid-Market #### What Are Recent G2 Reviews of Omniscope Evo? **"[Strong ETL building tool with good dashboarding capabilities](https://www.g2.com/survey_responses/omniscope-evo-review-9711987)"** **Rating:** 5.0/5.0 stars *— Kay F.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-9711987) --- **"[The best ETL + Dataviz on the market right now](https://www.g2.com/survey_responses/omniscope-evo-review-4780627)"** **Rating:** 5.0/5.0 stars *— Alex O.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-4780627) --- #### What Are G2 Users Discussing About Omniscope Evo? - [What is Omniscope Evo used for?](https://www.g2.com/discussions/what-is-omniscope-evo-used-for) - 1 comment ### 10. [Flowgear](https://www.g2.com/products/flowgear/reviews) Connect Your Ecosystem in Minutes, Not Months. Stop letting complex integrations stall your growth. Flowgear provides a scalable integration platform to unify your Applications, Data, and APIs across cloud and on-premise environments. By combining an intuitive drag-and-drop visual designer with a massive library of prebuilt connectors, we empower both developers and business users to build enterprise-grade workflows instantly. From automating repetitive tasks to creating reusable data pipelines, Flowgear helps industry leaders eliminate operational friction and focus on what matters: productivity, profitability, and customer excellence. **Average Rating:** 4.5/5.0 **Total Reviews:** 130 **How Do G2 Users Rate Flowgear?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Flowgear?** - **Seller:** [Flowgear](https://www.g2.com/sellers/flowgear) - **Year Founded:** 2007 - **HQ Location:** Johannesburg, Gauteng - **Twitter:** @flowgear (369 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/flowgear/ (34 employees on LinkedIn®) - **Phone:** US: 1-800-940-0054 UK: 0-800-098-8164 South Africa: 0861-61-3569 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small-Business, 40% Mid-Market #### What Are Flowgear's Pros and Cons? **Pros:** - Easy Integrations (6 reviews) - Automation (4 reviews) - Connectivity (3 reviews) - Connectors (3 reviews) - Ease of Use (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Poor Documentation (3 reviews) - Difficult Learning (2 reviews) - Learning Curve (2 reviews) - Limited Functionality (2 reviews) ### What Do G2 Reviewers Say About Flowgear? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy integrations** that Flowgear offers, allowing smooth connections and streamlined automation across systems. - Users value the **easy automation** features of Flowgear, enabling efficient integration and streamlined workflows without complications. - Users value Flowgear's **seamless connectivity** , enabling quick and efficient system integrations without extensive coding requirements. - Users value the **wide range of connectors** in Flowgear, enhancing efficiency in building integrations effortlessly. - Users value the **ease of use** of Flowgear, enabling quick integrations without extensive coding knowledge. **Cons:** - Users find that **learning difficulty** stems from limited training materials and complex workflows, affecting new user onboarding. - Users note the **poor documentation** of Flowgear, impacting ease of use and complicating advanced feature implementation. - Users find the **difficult learning** curve frustrating due to limited training materials and documentation for new users. - Users face a **steep learning curve** due to limited training materials and insufficient documentation for effective use. - Users find the **limited functionality** of the trial version restrictive, hindering exploration of advanced features. #### What Are Recent G2 Reviews of Flowgear? **"[Reduces Coding Hassle and Makes API Tasks Easy](https://www.g2.com/survey_responses/flowgear-review-12500953)"** **Rating:** 4.5/5.0 stars *— Kgabo B.* [Read full review](https://www.g2.com/survey_responses/flowgear-review-12500953) --- **"[Intuitive Drag-and-Drop Integrations with Cost-Effective Salesforce Connectors](https://www.g2.com/survey_responses/flowgear-review-12699714)"** **Rating:** 4.5/5.0 stars *— Bayethe N.* [Read full review](https://www.g2.com/survey_responses/flowgear-review-12699714) --- #### What Are G2 Users Discussing About Flowgear? - [What is your primary use case for Flowgear, and how has it impacted your integration processes?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-flowgear-and-how-has-it-impacted-your-integration-processes) - [What is Flowgear used for?](https://www.g2.com/discussions/what-is-flowgear-used-for) ### 11. [Toric](https://www.g2.com/products/toric/reviews) Toric is the no-code, all-in-one data workspace. Toric integrates with industry-leading software tools, desktop products, and APIs to give companies a single source of truth for their data. Using Toric, companies can combine design, project, and finance data in one place for real-time analysis, insights, and decision making. **Average Rating:** 4.6/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Toric?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Toric?** - **Seller:** [Toric Labs Inc.](https://www.g2.com/sellers/toric-labs-inc) - **Year Founded:** 2019 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/toriclabs/ (53 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Small-Business, 45% Mid-Market #### What Are Toric's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Implementation Ease (4 reviews) - Easy Integrations (3 reviews) - Automation (2 reviews) - Customer Support (2 reviews) **Cons:** - Expensive (2 reviews) - Lack of Tutorials (2 reviews) - Learning Curve (2 reviews) - Missing Functionality (2 reviews) - Bugs (1 reviews) ### What Do G2 Reviewers Say About Toric? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Toric, enjoying quick tasks and seamless integration with various software. - Users commend the **implementation ease** of Toric, enjoying the quick setup and seamless integration with various software. - Users value the **easy integrations** of Toric, which simplifies setup and enhances compatibility with various software. - Users value the **effortless automation** of Toric, enabling seamless data integration across various platforms with ease. - Users appreciate the **helpful and responsive customer support** of Toric, enhancing their overall experience and satisfaction. **Cons:** - Users feel the pricing is **high** , although many believe it justifies the cost despite some learning challenges. - Users find the **lack of thorough tutorials** for Toric frustrating, hindering their ability to learn the program effectively. - Users find the **learning curve steep** , wishing for better documentation to aid in mastering Toric's features. - Users find a **lack of essential functionality** for complex data analysis, requiring external development for resolutions. - Users report that some features have **bugs** , though fixes are typically implemented within a few days. #### What Are Recent G2 Reviews of Toric? **"[AI](https://www.g2.com/survey_responses/toric-review-10289914)"** **Rating:** 5.0/5.0 stars *— Rahul S.* [Read full review](https://www.g2.com/survey_responses/toric-review-10289914) --- **"[An amazing tool with incredible integration](https://www.g2.com/survey_responses/toric-review-9887799)"** **Rating:** 4.0/5.0 stars *— Verified User in Law Practice* [Read full review](https://www.g2.com/survey_responses/toric-review-9887799) --- ### 12. [IBM Cloud Pak for Integration](https://www.g2.com/products/ibm-cloud-pak-for-integration/reviews) IBM Cloud Pak for Integration is a set of capabilities to speed integration and scale automation, built for any hybrid cloud, within a single, unified experience. Unlock business data and assets as APIs, connect cloud and on-premise applications, reliably move data with enterprise messaging, deliver real-time event interactions, transfer data across any cloud and deploy and scale with cloud-native architecture and shared foundational services — all with end-to-end enterprise-grade security and encryption, making up the broadest set of integration capabilities available on the market today. **Average Rating:** 4.2/5.0 **Total Reviews:** 39 **How Do G2 Users Rate IBM Cloud Pak for Integration?** - **Has the product been a good partner in doing business?:** 7.3/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.7/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM Cloud Pak for Integration?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 36% Enterprise, 36% Mid-Market #### What Are Recent G2 Reviews of IBM Cloud Pak for Integration? **"[My Experience with IBM Cloud Pak](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9142050)"** **Rating:** 4.0/5.0 stars *— Aman Y.* [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9142050) --- **"[Great to work in IBM cloud](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9145389)"** **Rating:** 4.0/5.0 stars *— ashish s.* [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9145389) --- #### What Are G2 Users Discussing About IBM Cloud Pak for Integration? - [What are the 6 current cloud Paks offered by IBM?](https://www.g2.com/discussions/ibm-cloud-pak-for-integration-what-are-the-6-current-cloud-paks-offered-by-ibm) - [What are the deployment options in IBM cloud Pak for Integration?](https://www.g2.com/discussions/what-are-the-deployment-options-in-ibm-cloud-pak-for-integration) - [Which statement describes the IBM Cloud Pak for Integration?](https://www.g2.com/discussions/which-statement-describes-the-ibm-cloud-pak-for-integration) - [What is included in cloud Pak for Integration?](https://www.g2.com/discussions/what-is-included-in-cloud-pak-for-integration) ### 13. [Informatica Data Engineering](https://www.g2.com/products/informatica-data-engineering/reviews) Informatica Data Engineering is a comprehensive suite of tools designed to empower data engineers in delivering clean, reliable, and accessible data for enterprise AI, machine learning, and analytics initiatives across hybrid and multi-cloud environments. By integrating seamlessly with platforms like Databricks, it facilitates efficient data discovery, ingestion, and processing at scale, leveraging serverless computing to optimize costs and performance. Key Features and Functionality: - Data Engineering Integration: Manages analytics and machine learning data pipelines with intelligent data ingestion and processing capabilities in hybrid, multi-cloud environments. - Data Engineering Streaming: Transforms high volumes of streaming and IoT data into contextualized insights, enabling real-time decision-making. - Data Engineering Quality: Ensures data governance across cloud and hybrid environments, maintaining data trustworthiness and relevance. - Data Engineering Masking: De-identifies sensitive data to minimize risk exposure in applications, business intelligence, AI, and analytics use cases. - Enterprise Data Catalog: Classifies and organizes data assets across various environments to ensure lineage and maximize data value and reuse. - Enterprise Data Preparation: Provides collaborative tools for data analysts and scientists to find, prepare, and ensure data quality for analysis and AI applications. - Mass Ingestion: Enables ingestion of data at scale from diverse sources, including streaming data, files, and databases, through an intuitive five-step wizard. Primary Value and User Solutions: Informatica Data Engineering addresses critical gaps in enterprise AI, machine learning, and analytics initiatives by providing a unified platform for end-to-end data management. It empowers data engineers to efficiently handle complex data workflows, ensuring that data scientists and analysts have access to high-quality, trusted data. This accelerates the development of AI models and analytics, leading to faster, more accurate business insights. The solution's scalability and integration capabilities support organizations in building resilient data architectures that drive informed decision-making and unlock the full potential of their data assets. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Informatica Data Engineering?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Informatica Data Engineering?** - **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:** 54% Enterprise, 25% Mid-Market #### What Are Informatica Data Engineering's Pros and Cons? **Pros:** - Automation (1 reviews) - Cloud Integration (1 reviews) - Connectivity (1 reviews) - Data Transformation (1 reviews) - Drag (1 reviews) **Cons:** - Performance Issues (1 reviews) - Slow Data Loading (1 reviews) - Slow Processing (1 reviews) ### What Do G2 Reviewers Say About Informatica Data Engineering? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation features** of Informatica Data Engineering, enhancing efficiency in data workflows and processes. - Users value the **seamless cloud integration** of Informatica Data Engineering, enhancing efficiency in data workflows significantly. - Users value the **excellent connectivity** of Informatica Data Engineering, making integration with various data sources effortless and efficient. - Users value the **seamless integration and user-friendly design** of Informatica Data Engineering, enhancing their data workflows significantly. - Users value the **user-friendly drag-and-drop pipeline design** of Informatica Data Engineering, streamlining ETL workflows efficiently. **Cons:** - Users experience **performance issues** as complex mappings and larger datasets can run slower than expected with Informatica Data Engineering. - Users notice that **slow data loading** can hinder efficiency when processing complex mappings and larger datasets in Informatica Data Engineering. - Users experience **slow processing** with complex mappings and larger data sets in Informatica Data Engineering, affecting efficiency. #### What Are Recent G2 Reviews of Informatica Data Engineering? **"[Seamless ETL and Big Data Integration](https://www.g2.com/survey_responses/informatica-data-engineering-review-12010822)"** **Rating:** 4.5/5.0 stars *— Srinivasreddy J.* [Read full review](https://www.g2.com/survey_responses/informatica-data-engineering-review-12010822) --- **"[Smooth, High-Volume SQL Server to ADLS Ingestion with Informatica](https://www.g2.com/survey_responses/informatica-data-engineering-review-12918276)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/informatica-data-engineering-review-12918276) --- #### What Are G2 Users Discussing About Informatica Data Engineering? - [Is Informatica a data integration tool?](https://www.g2.com/discussions/informatica-data-engineering-is-informatica-a-data-integration-tool) - [Is Informatica a data integration tool?](https://www.g2.com/discussions/is-informatica-a-data-integration-tool) - [What is Informatica Data preparation?](https://www.g2.com/discussions/informatica-data-engineering-what-is-informatica-data-preparation) - [What is Informatica Data preparation?](https://www.g2.com/discussions/what-is-informatica-data-preparation) - [What does Informatica software do?](https://www.g2.com/discussions/informatica-data-engineering-what-does-informatica-software-do) ### 14. [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud. The scalable platform provides extended metadata management and enterprise connectivity. It integrates heterogeneous data, including big data at rest (Hadoop-based) or big data in motion (stream-based), on both distributed and mainframe platforms. It supports IBM Db2® Z and Db2 for z/OS®, applies workload and business rules, and integrates real-time data in an easy to deploy, scalable platform. Learn More: https://ibm.co/2NpHEtZ **Average Rating:** 4.0/5.0 **Total Reviews:** 62 **How Do G2 Users Rate IBM DataStage?** - **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10) - **Automation:** 7.6/10 (Category avg: 9.0/10) - **Scalability:** 7.9/10 (Category avg: 8.7/10) - **Auditing:** 7.7/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM DataStage?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Banking, Information Technology and Services - **Company Size:** 77% Enterprise, 15% Mid-Market #### What Are IBM DataStage's Pros and Cons? **Pros:** - Customization (1 reviews) - Data Pipelining (1 reviews) - Drag (1 reviews) - Ease of Use (1 reviews) - Efficiency Improvement (1 reviews) **Cons:** - Complex Processes (1 reviews) - Dependency Issues (1 reviews) - Expensive (1 reviews) - Lack of Real-Time Data (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About IBM DataStage? *AI-generated summary from verified user reviews* **Pros:** - Users value the **customization options** in DataStage, enabling tailored solutions for diverse data processing needs. - Users value the **high-performance data pipelining** of IBM DataStage, enabling efficient processing of massive datasets seamlessly. - Users value the **high-performance parallel processing** of IBM DataStage, enabling efficient handling of massive data volumes. - Users appreciate the **ease of use** of IBM DataStage, thanks to its intuitive drag-and-drop interface for ETL processes. - Users commend the **high-performance parallel processing** of IBM DataStage, enabling efficient handling of massive data volumes seamlessly. **Cons:** - Users face **complex processes** in IBM DataStage, struggling with steep learning curves and clunky legacy systems. - Users face significant **dependency issues** with IBM DataStage, struggling with vendor lock-in and complex migration processes. - Users criticize the **high costs and complex licensing** of IBM DataStage, limiting access for smaller businesses. - Users express frustration over the **lack of real-time data** capabilities in IBM DataStage, hindering timely insights. - Users face a **steep learning curve** with IBM DataStage due to its complex and unintuitive setup, especially for newcomers. #### What Are Recent G2 Reviews of IBM DataStage? **"[Unmatched Performance and Reliability for Enterprise Data Workloads](https://www.g2.com/survey_responses/ibm-datastage-review-12124677)"** **Rating:** 5.0/5.0 stars *— Poojasree M.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-12124677) --- **"[Blazingly Fast, Full-Featured ETL tool with Flexible Data Connections](https://www.g2.com/survey_responses/ibm-datastage-review-10327160)"** **Rating:** 4.0/5.0 stars *— Steve L.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-10327160) --- #### What Are G2 Users Discussing About IBM DataStage? - [What is IBM InfoSphere DataStage used for?](https://www.g2.com/discussions/what-is-ibm-infosphere-datastage-used-for) - [How can I download IBM InfoSphere DataStage?](https://www.g2.com/discussions/how-can-i-download-ibm-infosphere-datastage) - [What is InfoSphere Information Server?](https://www.g2.com/discussions/what-is-infosphere-information-server) - [What is DataStage tool?](https://www.g2.com/discussions/what-is-datastage-tool) ### 15. [DataChannel](https://www.g2.com/products/datachannel/reviews) DataChannel is a unified no-code ETL & Reverse ETL platform with 120+ pre-built integrations that allow you to easily move data to and from any data source into a data warehouse of your choice within minutes. You can easily control what data you need to load and at what frequency meanwhile also retaining complete control over it. Enjoy complete freedom in choosing where your data resides and run downstream analytics on it all within your infrastructure. Aggregate & operationalize your data coming in from various source systems to derive actionable insights using DataChannel's transformation module. - 120+ pre-built integrations to SaaS applications, E-Commerce platforms & marketplaces, relational databases, cloud storages etc - A comprehensive platform for ETL, dbt Core & SQL transformations & Reverse ETL - Schedule and control your data pipelines without writing any code or scripts Build unique workspaces to manage multiple client accounts with role-based accessibility - Orchestrate end-to-end workflows using DataChannel’s drag-and-drop, intuitive interface. **Average Rating:** 4.8/5.0 **Total Reviews:** 36 **How Do G2 Users Rate DataChannel?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 8.7/10 (Category avg: 8.1/10) **Who Is the Company Behind DataChannel?** - **Seller:** [DataChannel Technologies Pvt Ltd](https://www.g2.com/sellers/datachannel-technologies-pvt-ltd) - **Year Founded:** 2020 - **HQ Location:** Gurgaon, IN - **Twitter:** @MyDataChannel (51 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mydatachannel (24 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 69% Mid-Market, 22% Small-Business #### What Are DataChannel's Pros and Cons? **Pros:** - Data Management (4 reviews) - Analytics (2 reviews) - Automation (2 reviews) - Connectors (2 reviews) - Data Integration (2 reviews) **Cons:** - Error Management (1 reviews) - Insufficient Information (1 reviews) - Performance Issues (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About DataChannel? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data management** capabilities of DataChannel, enabling comprehensive analytics and seamless integrations. - Users value the **streamlined analytics** of DataChannel, enhancing data organization and enabling faster decision-making processes. - Users appreciate the **automation capabilities** of DataChannel, which streamline analytics and enhance decision-making efficiency. - Users value the **ease of use** and robust connectivity of DataChannel, especially with Shopify and other platforms. - Users value **Data Integration** in DataChannel, enhancing data organization and analytics efficiency across multiple sources. **Cons:** - Users desire **better error visibility** in DataChannel to understand pipeline issues and improve troubleshooting. - Users feel a lack of **insufficient information** about errors in the DataChannel pipeline, hindering effective troubleshooting. - Users experienced some **performance issues** initially, but these were eventually resolved over time. - Users noticed **slow performance** during some transformation runs, although the issue improved with time. #### What Are Recent G2 Reviews of DataChannel? **"[We are now able to focus on KPIs, and high-value tasks](https://www.g2.com/survey_responses/datachannel-review-10462699)"** **Rating:** 5.0/5.0 stars *— Isha B.* [Read full review](https://www.g2.com/survey_responses/datachannel-review-10462699) --- **"[Great product, excellent support !](https://www.g2.com/survey_responses/datachannel-review-10468280)"** **Rating:** 5.0/5.0 stars *— Akash S.* [Read full review](https://www.g2.com/survey_responses/datachannel-review-10468280) --- #### What Are G2 Users Discussing About DataChannel? - [What is DataChannel used for?](https://www.g2.com/discussions/what-is-datachannel-used-for) ### 16. [Datacoves](https://www.g2.com/products/datacoves/reviews) Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution. **Average Rating:** 4.8/5.0 **Total Reviews:** 18 **How Do G2 Users Rate Datacoves?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 9.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Datacoves?** - **Seller:** [Datacoves Inc](https://www.g2.com/sellers/datacoves-inc) - **Year Founded:** 2021 - **HQ Location:** Thousand Oaks, California - **Twitter:** @datacoves (475 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datacoves/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Enterprise, 28% Mid-Market #### What Are Datacoves's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Features (5 reviews) - Integrations (5 reviews) - Data Engineering (4 reviews) - Easy Integrations (4 reviews) **Cons:** - Alert Overload (1 reviews) - Dashboard Issues (1 reviews) - Data Limitations (1 reviews) - Dependency Issues (1 reviews) - Difficult Learning (1 reviews) ### What Do G2 Reviewers Say About Datacoves? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Datacoves, appreciating its quick setup and responsive support during implementation. - Users appreciate the **well-thought-out development and deployment system** of Datacoves, enhancing efficiency and scaling teams effortlessly. - Users value the **seamless integrations** of Datacoves that enhance collaboration and streamline data processes effectively. - Users value the **exceptional data engineering tools** in Datacoves that enhance collaboration and improve data quality significantly. - Users love the **API integration** of Datacoves, enhancing their workflow seamlessly within VS Code. **Cons:** - Users express concerns about **alert overload** , highlighting the need for better monitoring to manage support requests effectively. - Users express the need for better **dashboard integrations** to monitor activities and troubleshoot performance issues effectively. - Users may find the **data limitations** restrictive, as they feel locked into specific ELT tools. - Users note **dependency issues** with Datacoves, feeling locked into specific ELT tools that may not suit everyone. - Users experience **integration issues** due to a lack of dashboards, complicating monitoring and support during failures. #### What Are Recent G2 Reviews of Datacoves? **"[Great Developer Experience with Responsive Support](https://www.g2.com/survey_responses/datacoves-review-12882735)"** **Rating:** 5.0/5.0 stars *— Anthony L.* [Read full review](https://www.g2.com/survey_responses/datacoves-review-12882735) --- **"[Datacoves Simplifies Our Data Stack with a Smooth, Customizable Dev Experience](https://www.g2.com/survey_responses/datacoves-review-12582185)"** **Rating:** 5.0/5.0 stars *— Sung Hoon J.* [Read full review](https://www.g2.com/survey_responses/datacoves-review-12582185) --- ### 17. [AWS Database Migration Service](https://www.g2.com/products/aws-database-migration-service/reviews) AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. **Average Rating:** 4.1/5.0 **Total Reviews:** 47 **How Do G2 Users Rate AWS Database Migration Service?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind AWS Database Migration Service?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 32% Mid-Market #### What Are Recent G2 Reviews of AWS Database Migration Service? **"[Intuitive, Feature-Rich, and Makes Migration Effortless](https://www.g2.com/survey_responses/aws-database-migration-service-review-12723092)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/aws-database-migration-service-review-12723092) --- **"[DMS - Migrating data with ease](https://www.g2.com/survey_responses/aws-database-migration-service-review-9555595)"** **Rating:** 4.5/5.0 stars *— Sonali A.* [Read full review](https://www.g2.com/survey_responses/aws-database-migration-service-review-9555595) --- #### What Are G2 Users Discussing About AWS Database Migration Service? - [What is AWS Database Migration Service used for?](https://www.g2.com/discussions/what-is-aws-database-migration-service-used-for) ### 18. [Amazon Kinesis Data Firehose](https://www.g2.com/products/amazon-kinesis-data-firehose/reviews) Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security. **Average Rating:** 4.2/5.0 **Total Reviews:** 20 **How Do G2 Users Rate Amazon Kinesis Data Firehose?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Amazon Kinesis Data Firehose?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 46% Mid-Market, 33% Enterprise #### What Are Recent G2 Reviews of Amazon Kinesis Data Firehose? **"[Easy integration with other services](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7878269)"** **Rating:** 4.0/5.0 stars *— Verified User in Design* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7878269) --- **"[A Next Gen Infrastructure for Data Processing and Streaming](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7748499)"** **Rating:** 4.5/5.0 stars *— SriVatsa V.* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7748499) --- ### 19. [Astera Data Pipeline Builder (Centerprise)](https://www.g2.com/products/astera-data-pipeline-builder-centerprise/reviews) Astera Data Pipeline Builder (Centerprise) provides a no-code, scalable, high-performance, and affordable integration platform designed for technical and non-technical users to connect, transform, and move data from diverse sources to preferred destinations. With Astera's industrial strength ETL/ELT engine, 200+ transformations, and scheduling capabilities, users can build automated data pipelines in a matter of a few clicks. Users can also execute ETL and ELT data pipelines manually, schedule them for automated reruns, or orchestrate them as part of a larger data management process. Whether it's data extraction, transformation, cleansing, or loading, Astera Data Pipeline Builder excels at ensuring data accuracy and reliability. It offers comprehensive data validation capabilities, enabling users to enforce data quality and consistency. It is also a go-to solution for data migration, data warehousing, and business intelligence. **Average Rating:** 4.3/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Astera Data Pipeline Builder (Centerprise)?** - **Has the product been a good partner in doing business?:** 7.6/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 7.2/10 (Category avg: 8.7/10) - **Auditing:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Astera Data Pipeline Builder (Centerprise)?** - **Seller:** [Astera Software](https://www.g2.com/sellers/astera-software) - **HQ Location:** Simi Valley, CA - **Twitter:** @AsteraSoftware (2,255 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/33267/ (160 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 48% Mid-Market, 32% Small-Business #### What Are Recent G2 Reviews of Astera Data Pipeline Builder (Centerprise)? **"[Great experience working with Astera ETL tool and support team](https://www.g2.com/survey_responses/astera-data-pipeline-builder-centerprise-review-8938856)"** **Rating:** 4.5/5.0 stars *— Verified User in Broadcast Media* [Read full review](https://www.g2.com/survey_responses/astera-data-pipeline-builder-centerprise-review-8938856) --- **"[Astera Centerprise Data Integrator Review](https://www.g2.com/survey_responses/astera-data-pipeline-builder-centerprise-review-8851040)"** **Rating:** 4.0/5.0 stars *— Rahul S.* [Read full review](https://www.g2.com/survey_responses/astera-data-pipeline-builder-centerprise-review-8851040) --- ### 20. [Oracle Data Integrator](https://www.g2.com/products/oracle-data-integrator/reviews) Oracle Data Integrator (on-premises & Cloud Service) - a high-Performance Bulk Data Movement and Data Transformation. Delivers unique next-generation, extract load and transform (ELT) technology that improves performance and reduces data integration costs—even across heterogeneous systems. o ELT architecture for improved performance and lower TCO o Heterogeneous platform support for enterprise data integration o Knowledge modules for optimized developer productivity and extensibility o Service-oriented data integration and management for SOA environments Link - https://www.oracle.com/middleware/data-integration/enterprise-edition/ Datasheet – http://www.oracle.com/us/products/middleware/data-integration/odi-ee-ds-2030747.pdf Documentation https://www.oracle.com/technetwork/middleware/data-integrator/documentation/index.html#11.1.1.5 Webcast Supercharge your data integration DIPC https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=https%3A%2F%2Fwww.oracle.com%2Fmiddleware%2Fdata-integration%2Fenterprise-edition%2Fresources.html&eventid=1545759&sessionid=1&key=E89B634077F2FF8700223E6E1A49A54E&regTag=&sourcepage=register **Average Rating:** 4.0/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Oracle Data Integrator?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Oracle Data Integrator?** - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Company Size:** 80% Enterprise, 20% Mid-Market #### What Are Recent G2 Reviews of Oracle Data Integrator? **"[Powerful ELT Architecture and Reusable Knowledge Modules That Speed Development](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188)"** **Rating:** 4.0/5.0 stars *— Simone B.* [Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188) --- **"[ODI- Very efficient and highly flexible](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676)"** **Rating:** 5.0/5.0 stars *— Amit N.* [Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676) --- ### 21. [Ab Initio](https://www.g2.com/products/ab-initio/reviews) Ab Initio specializes in developing software for data integration, data governance, data quality, metadata management, and agentic AI. Ab Initio is Latin for “from the beginning” or “from first principles.” The fundamentals of scalability, reliability, and auditability are built into Ab Initio’s data and agentic AI software as first principles. The Ab Initio Agentic Data Platform is a unified environment for designing, deploying, and managing data workflows and agentic AI at scale. The software translates raw information into governed data products and auditable actions performed by both agents and humans. The platform’s parallel processing engine delivers deterministic performance for massive data volumes, reducing infrastructure waste and runtime variation. Because logic and execution are portable, workflows can move between data centers and clouds without modification or revalidation. **Average Rating:** 4.3/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Ab Initio?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 7.6/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Ab Initio?** - **Seller:** [Ab Initio](https://www.g2.com/sellers/ab-initio) - **Year Founded:** 1995 - **HQ Location:** United States - **LinkedIn® Page:** https://www.linkedin.com/company/ab-initio/about (965 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 91% Enterprise, 9% Mid-Market #### What Are Recent G2 Reviews of Ab Initio? **"[Excellent ETL Development Tool](https://www.g2.com/survey_responses/ab-initio-review-7801665)"** **Rating:** 5.0/5.0 stars *— Rajeswari Acharya R.* [Read full review](https://www.g2.com/survey_responses/ab-initio-review-7801665) --- **"[Abinitio is best amoung the other etl tools easy to use](https://www.g2.com/survey_responses/ab-initio-review-9064690)"** **Rating:** 4.0/5.0 stars *— Sunny T.* [Read full review](https://www.g2.com/survey_responses/ab-initio-review-9064690) --- ### 22. [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely, and efficiently with minimal operational impact. Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud. Qlik Replicate is different and Enterprise-Ready. It moves data at high speed from source to target, simply and easily, and offers a single pane of glass monitoring of your data pipelines across the enterprise, all managed through a graphical interface that completely automates end-to-end replication. With our streamlined and agentless configuration, your administrators and data architects can quickly set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale. **Average Rating:** 4.3/5.0 **Total Reviews:** 95 **How Do G2 Users Rate Qlik Replicate?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Automation:** 8.1/10 (Category avg: 9.0/10) - **Scalability:** 8.0/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Qlik Replicate?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 42% Enterprise, 35% Mid-Market #### What Are Qlik Replicate's Pros and Cons? **Pros:** - Features (3 reviews) - Database Management (2 reviews) - Easy Integrations (2 reviews) - Scalability (2 reviews) - Automation (1 reviews) **Cons:** - Complex Setup (2 reviews) - Learning Difficulty (2 reviews) - Difficult Setup (1 reviews) - Expensive (1 reviews) - Inadequate Security (1 reviews) ### What Do G2 Reviewers Say About Qlik Replicate? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **robust functionality** of Qlik Replicate, benefiting from efficient change tracking and user-friendly interface. - Users value the **extensive database support** in Qlik Replicate, enabling seamless and efficient data importing and validation. - Users value the **easy integrations** of Qlik Replicate, facilitating seamless connectivity across numerous platforms and systems. - Users praise the **scalability** of Qlik Replicate, allowing efficient replication of millions of data seamlessly. - Users praise the **automation and scalability** of Qlik Replicate, making it the top choice in the data space. **Cons:** - Users find the **complex setup** of Qlik Replicate time-consuming due to numerous system requirements and configuration challenges. - Users find the **learning difficulty** of Qlik Replicate steep, requiring significant time and effort to master. - Users find the **difficult setup** of Qlik Replicate time-consuming due to extensive system and environment requirements. - Users find Qlik Replicate to be **expensive** , requiring significant investment in both time and money for setup and learning. - Users note that the **data security** of Qlik Replicate lacks advancement and needs improvements for better protection. #### What Are Recent G2 Reviews of Qlik Replicate? **"[Qlik Replicate: Intelligent Data Replication for Modern Enterprises – Seamless Sync, Move Faster](https://www.g2.com/survey_responses/qlik-replicate-review-11427532)"** **Rating:** 4.0/5.0 stars *— Soumava S.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-11427532) --- **"[Bestest for Data](https://www.g2.com/survey_responses/qlik-replicate-review-8237655)"** **Rating:** 4.5/5.0 stars *— Kaustubh Y.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-8237655) --- #### What Are G2 Users Discussing About Qlik Replicate? - [What are the benefits and drawbacks of using Qlik Replicate for data replication?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-qlik-replicate-for-data-replication) - [What is Qlik Replicate used for?](https://www.g2.com/discussions/what-is-qlik-replicate-used-for) - [How Qlik Replicate works?](https://www.g2.com/discussions/how-qlik-replicate-works) - [How much does Attunity Replicate cost?](https://www.g2.com/discussions/how-much-does-attunity-replicate-cost) - 1 comment - [What is Attunity Replicate?](https://www.g2.com/discussions/what-is-attunity-replicate) ### 23. [TapClicks](https://www.g2.com/products/tapclicks/reviews) TapClicks is a comprehensive marketing operations platform designed to streamline and automate various manual tasks associated with marketing management, such as data integration and reporting. This solution allows users to focus on high-impact activities, including campaign optimization and enhancing customer satisfaction. By offering a suite of tools that encompass reporting, analytics, insights, campaign order management, and marketing workflow tracking, TapClicks empowers organizations to make informed decisions based on real-time data. The platform is particularly beneficial for marketing agencies and organizations that manage multiple clients. TapClicks provides a unified dashboard through its flagship product, TapAnalytics, which consolidates marketing campaign data and performance metrics. This feature enables users to easily manage thousands of clients from a single interface, offering both high-level agency views and customizable client-specific views. Such transparency is essential for maintaining strong client relationships and ensuring that clients are informed about their campaign performance. One of the standout features of TapAnalytics is its ability to deliver real-time analytics and scoring across all campaigns. Utilizing sophisticated algorithms, the platform optimizes campaign performance and uncovers actionable insights that can drive better results. Additionally, the data visualization capabilities of TapClicks bring data to life through interactive timelines, pie charts, geo-mapping, and text widgets, making it easier for users to interpret and present their findings. TapClicks also prioritizes efficiency with its auto-scheduled reporting feature, allowing users to send automated reports in various formats, including HTML, PDF, and Excel. This functionality saves time and ensures that stakeholders receive timely updates without the need for manual intervention. Furthermore, the platform supports over 200 integrations tailored to the needs of agencies of all sizes, enhancing its versatility and making it a valuable tool for marketing professionals. In summary, TapClicks is designed to optimize marketing operations by automating routine tasks and providing a holistic view of marketing activities. With its user-friendly interface, robust analytics capabilities, and extensive integration options, TapClicks stands out as a powerful solution for organizations looking to enhance their marketing efforts and drive meaningful results. **Average Rating:** 4.3/5.0 **Total Reviews:** 315 **How Do G2 Users Rate TapClicks?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) **Who Is the Company Behind TapClicks?** - **Seller:** [TapClicks](https://www.g2.com/sellers/tapclicks) - **Company Website:** https://www.TapClicks.com - **Year Founded:** 2015 - **HQ Location:** San Jose, CA - **Twitter:** @TapClicks (773 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2810260/ (151 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Manager, Digital Marketing Manager - **Top Industries:** Marketing and Advertising, Broadcast Media - **Company Size:** 62% Small-Business, 30% Mid-Market #### What Are TapClicks's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Analytics (4 reviews) - Reporting (3 reviews) - Time-saving (3 reviews) - Time-Saving (3 reviews) **Cons:** - Lack of Information (2 reviews) - Connection Issues (1 reviews) - Data Inconsistency (1 reviews) - Data Management Issues (1 reviews) - Difficult Setup (1 reviews) ### What Do G2 Reviewers Say About TapClicks? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of TapClicks, allowing for streamlined marketing operations and insightful data analysis. - Users value the **deep insights and automation** provided by TapClicks, enhancing decision-making and optimizing campaign performance. - Users value the **efficient reporting features** of TapClicks, simplifying data analysis and optimizing marketing campaigns seamlessly. - Users value the **time-saving automation** of TapClicks, allowing focus on strategy and optimization of marketing efforts. - Users appreciate the **time-saving automation** of TapClicks, enabling focus on strategy and enhanced decision-making. **Cons:** - Users experience **lack of information** from TapClicks, leading to confusion during data setup and connection issues. - Users often experience **connection issues** with TapClicks, leading to data discrepancies and unsatisfactory customer service responses. - Users often struggle with **data inconsistency** , encountering discrepancies that hinder accurate data collection and insights. - Users find the **data management issues** in TapClicks frustrating, particularly the complex setup and inconsistent syncing. - Users find the **difficult setup** of TapClicks overwhelming and the data syncing process less than smooth. #### What Are Recent G2 Reviews of TapClicks? **"[Great Client Dashboards with Flexible Metrics](https://www.g2.com/survey_responses/tapclicks-review-12676293)"** **Rating:** 5.0/5.0 stars *— Juli L.* [Read full review](https://www.g2.com/survey_responses/tapclicks-review-12676293) --- **"[Exceptionally Useful and Incredibly Easy to Use](https://www.g2.com/survey_responses/tapclicks-review-12113045)"** **Rating:** 4.5/5.0 stars *— Verified User in Publishing* [Read full review](https://www.g2.com/survey_responses/tapclicks-review-12113045) --- #### What Are G2 Users Discussing About TapClicks? - [What is TapClicks used for?](https://www.g2.com/discussions/what-is-tapclicks-used-for) - 1 comment ### 24. [Cinchy](https://www.g2.com/products/cinchy-cinchy/reviews) With the Cinchy Data Collaboration platform liberate data from applications and control and connect as data products in a network, eliminating the need for future data integration. Build a more agile data ecosystem that makes change simple, rapidly accelerates business outcomes, and fosters collaborative intelligence across your enterprise. With Cinchy, cure the pains of integration to deliver projects at half the cost and time, improve data governance with universal data access controls, and provide data access to business users for self-serve reporting and analytics. **Average Rating:** 4.8/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Cinchy?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 9.4/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Cinchy?** - **Seller:** [Cinchy](https://www.g2.com/sellers/cinchy) - **Year Founded:** 2017 - **HQ Location:** Toronto, ON - **Twitter:** @itscinchy (460 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/16200640/ (40 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 53% Mid-Market, 37% Enterprise #### What Are Recent G2 Reviews of Cinchy? **"[Wonderful experience working with Cinchy team](https://www.g2.com/survey_responses/cinchy-review-8132727)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/cinchy-review-8132727) --- **"[Powerful tool - outstanding technology partner](https://www.g2.com/survey_responses/cinchy-review-8004644)"** **Rating:** 5.0/5.0 stars *— Peter F.* [Read full review](https://www.g2.com/survey_responses/cinchy-review-8004644) --- #### What Are G2 Users Discussing About Cinchy? - [What is Cinchy used for?](https://www.g2.com/discussions/what-is-cinchy-used-for) ### 25. [enosix](https://www.g2.com/products/enosix/reviews) enosix is an innovative provider of real-time integration solutions between SAP ERP and front-end systems of engagement (such as Salesforce). Our solutions are pre-built and require minimal coding, enabling companies to quickly realize value—in days instead of months. enosix unlocks data, business process, authorizations, and user permissions from SAP without recreating it from the front-end, and delivers the back-end translation in an easy-to-understand, real-time, and bi-directional integration. **Average Rating:** 4.7/5.0 **Total Reviews:** 10 **How Do G2 Users Rate enosix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind enosix?** - **Seller:** [enosix](https://www.g2.com/sellers/enosix) - **Year Founded:** 2014 - **HQ Location:** Cincinnati, US - **Twitter:** @ENOSIX (388 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5290391/ (56 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 40% Mid-Market #### What Are Recent G2 Reviews of enosix? **"[SAP mobility easily and intuitively](https://www.g2.com/survey_responses/enosix-review-4356907)"** **Rating:** 4.5/5.0 stars *— Polly N.* [Read full review](https://www.g2.com/survey_responses/enosix-review-4356907) --- **"[Irreplaceable platform ](https://www.g2.com/survey_responses/enosix-review-1915732)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/enosix-review-1915732) --- #### What Are G2 Users Discussing About enosix? - [What is enosix used for?](https://www.g2.com/discussions/what-is-enosix-used-for) ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [On-Premise Data Integration Software](https://www.g2.com/categories/on-premise-data-integration) - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) - [Data Replication Software](https://www.g2.com/categories/data-replication) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Reverse ETL Software](https://www.g2.com/categories/reverse-etl) --- ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026