# Best ETL Tools - Page 7 *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 (1,317 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Premium Notebook Experience That Unifies ML and Data Engineering](https://www.g2.com/survey_responses/databricks-review-13086971)" | | 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,022 reviews) | NetSuite-centered app integration and sync | "[Seamless Integration with Exceptional Support](https://www.g2.com/survey_responses/celigo-review-1996577)" | | 3 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (846 reviews) | Drag-and-drop data prep and reporting automation | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,144 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)" | | 5 | [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)" | | 6 | [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)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,015 reviews) | Self-service ETL feeding business dashboards | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" | | 8 | [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)" | | 9 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (335 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Straightforward data integration that reduced manual maintenance across our cloud systems](https://www.g2.com/survey_responses/skyvia-review-13091652)" | | 10 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (748 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)" | --- ## 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 ## G2 Grid® for ETL Tools ![G2 Grid® for ETL Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/etl-tools/grids.png?focus%5B%5D=10470&focus%5B%5D=23331&focus%5B%5D=989&focus%5B%5D=6073&focus%5B%5D=8076&focus%5B%5D=1308796&focus%5B%5D=23920&focus%5B%5D=4136) Highlighted products: Databricks, Celigo, Alteryx, Google Cloud BigQuery, FME Platform, IBM watsonx.data, Fivetran, and Skyvia. Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=celigo&focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fme-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=fivetran&focus%5B%5D=skyvia) ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 254 ### 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 (+1.45%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 15, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,100+ Authentic Reviews - 254+ 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** ### Domo Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. [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=2026-07-15T10%3A19%3A09Z&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=604&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%3D7%26selected_view%3Dgrid&secure%5Btoken%5D=5df3b657b1146af8d3edaa32b9a2f82099d60d25e90a6618ad26d6c8d8fbabd1&secure%5Burl%5D=https%3A%2F%2Fwww.domo.com%2Fsolution%2Fai-transform%3Futm_source%3DG2Crowd%26utm_medium%3Ddisplay%26utm_campaign%3DPortalSite_Category_ETL_FY27_NAM%26campid%3D701Vu00002CQHjpIAH&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Megaladata](https://www.g2.com/products/megaladata/reviews) The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process. **Average Rating:** 4.9/5.0 **Total Reviews:** 8 **How Do G2 Users Rate Megaladata?** - **Automation:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Megaladata?** - **Seller:** [Megaladata](https://www.g2.com/sellers/megaladata) - **HQ Location:** Neu-Isenburg, DE - **Twitter:** @megaladata_com (5 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/megaladata (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 88% Small-Business, 13% Mid-Market #### What Are Recent G2 Reviews of Megaladata? **"[Reusable Components and Nice Performance](https://www.g2.com/survey_responses/megaladata-review-12780960)"** **Rating:** 5.0/5.0 stars *— Vitali M.* [Read full review](https://www.g2.com/survey_responses/megaladata-review-12780960) --- **"[Megaladata is a platform for any time of on-time analytics](https://www.g2.com/survey_responses/megaladata-review-12752778)"** **Rating:** 5.0/5.0 stars *— Vartan G.* [Read full review](https://www.g2.com/survey_responses/megaladata-review-12752778) --- ### 2. [Qlik Compose](https://www.g2.com/products/qlik-compose/reviews) Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform. **Average Rating:** 4.5/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Qlik Compose?** - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 7.8/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Qlik Compose?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Mid-Market #### What Are Qlik Compose's Pros and Cons? **Pros:** - Automation (2 reviews) - Ease of Use (2 reviews) - ETL Efficiency (2 reviews) - Solution Efficiency (1 reviews) - Time-saving (1 reviews) **Cons:** - Data Management (1 reviews) - Error Reporting (1 reviews) - Learning Curve (1 reviews) - Not User-Friendly (1 reviews) - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About Qlik Compose? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of Qlik Compose, enhancing efficiency in data warehousing and ETL processes. - Users value the **ease of use** of Qlik Compose, which simplifies data warehousing and automates ETL procedures effectively. - Users value the **ETL efficiency** of Qlik Compose, significantly reducing manual labor in data pipeline management. - Users benefit from the **solution efficiency** of Qlik Compose, significantly speeding up dataset creation for analytics. - Users appreciate the **time-saving automation** of Qlik Compose, streamlining dataset creation for efficient analytics. **Cons:** - Users note the **lack of support for aggregated fact data and custom ETLs** in Qlik Compose, limiting functionality. - Users note the lack of **support for aggregated facts and custom ETLs** in Qlik Compose, which limits functionality. - Users find the **learning curve steep** , needing documentation and hands-on experience to effectively use Qlik Compose. - Users find Qlik Compose to be **not user-friendly** due to unsupported features like custom ETLs and clustering keys. - Users find the **poor documentation** of Qlik Compose hampers onboarding and hands-on experience for new users. #### What Are Recent G2 Reviews of Qlik Compose? **"[Simplify Complex Data Workflows](https://www.g2.com/survey_responses/qlik-compose-review-11057656)"** **Rating:** 4.5/5.0 stars *— Soumava S.* [Read full review](https://www.g2.com/survey_responses/qlik-compose-review-11057656) --- **"[Qlik Compose Review](https://www.g2.com/survey_responses/qlik-compose-review-8464492)"** **Rating:** 4.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/qlik-compose-review-8464492) --- #### What Are G2 Users Discussing About Qlik Compose? - [What is Qlik Compose used for?](https://www.g2.com/discussions/what-is-qlik-compose-used-for) ### 3. [TROCCO](https://www.g2.com/products/trocco/reviews) TROCCO is a data integration and automation platform that combines several areas of the data engineering workflow into one platform, significantly reducing the time spent trying to stitch together multiple tools when building your data pipelines. TROCCO includes ETL/ELT, Orchestration, Transformation, and Reverse ETL features, enabling you to quickly and easily get data flowing to and from your cloud warehouse for downstream analytics, AI, and ML uses. TROCCO is a managed SaaS-based platform that handles your infrastructure and scaling challenges, allowing you to spend less time building and managing data pipelines and instead focus on getting value from your data. With TROCCO, you can: - Sync your data in batch or near real-time from over 120 pre-built connectors. - Build custom integrations via HTTP. - Connect with on-premise data sources. - Transform your data with Python or no-code transformation templates. - Model your data using SQL, or dbt. - Orchestrate your data pipelines with our inbuilt workflow engine. - Maintain pipeline governance through role-based access controls. - Build secure data pipelines via SSH or AWS PrivateLink. **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **How Do G2 Users Rate TROCCO?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 5.0/10 (Category avg: 8.1/10) **Who Is the Company Behind TROCCO?** - **Seller:** [primeNumber Inc.](https://www.g2.com/sellers/primenumber-inc) - **Year Founded:** 2015 - **HQ Location:** Shinagawa, JP - **LinkedIn® Page:** https://www.linkedin.com/company/primenumber/ (85 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise #### What Are TROCCO's Pros and Cons? **Pros:** - Connectors Quantity (2 reviews) - Ease of Use (2 reviews) - Data Integration (1 reviews) - Easy Integrations (1 reviews) - ETL Efficiency (1 reviews) **Cons:** - Learning Curve (1 reviews) - Poor Documentation (1 reviews) - Steep Learning Curve (1 reviews) ### What Do G2 Reviewers Say About TROCCO? *AI-generated summary from verified user reviews* **Pros:** - Users value the **abundant connectors** offered by TROCCO, simplifying data ingestion from various applications seamlessly. - Users value the **ease of use** of TROCCO, appreciating its intuitive interface and numerous prebuilt connectors. - Users value the **seamless data integration** capabilities of Trocco, enhancing their data management experience effortlessly. - Users value the **easy integrations** of Trocco, finding it simple to connect diverse data sources effortlessly. - Users admire the **ETL efficiency** of Trocco, praising its powerful features and ease of use for data integration. **Cons:** - Users find the **steep learning curve** for advanced features and resource requirements challenging with TROCCO. - Users desire **better documentation** , particularly more diverse language manuals for improved usability with TROCCO. - Users find the **steep learning curve** for TROCCO's advanced features challenging and resource-intensive for effective use. #### What Are Recent G2 Reviews of TROCCO? **"[Easy to use for SaaS data ingestion](https://www.g2.com/survey_responses/trocco-review-9864344)"** **Rating:** 5.0/5.0 stars *— 상원 .* [Read full review](https://www.g2.com/survey_responses/trocco-review-9864344) --- **"[Easy to use and powerful ETL solution](https://www.g2.com/survey_responses/trocco-review-9834257)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/trocco-review-9834257) --- ### 4. [Valorx Fusion](https://www.g2.com/products/valorx-fusion/reviews) Salesforce + Excel = Valorx Fusion\* Valorx Fusion is a Salesforce and Excel/Google sheets data connector that enables seamless two-way data synchronization between Salesforce and Spreadsheets. Work in the most efficient and productive interface (Excel or Google Sheets) with your Salesforce data. Start by building a new spreadsheet template with multiple tabs or turn your existing spreadsheet into your Salesforce interface without any change. Over 30,000 users and 30+ Fortune 500 companies rely on Fusion every day. Fusion simplifies Salesforce workflows, enhances productivity, and empowers businesses to make the most of their Salesforce and Excel integrations. Install Valorx Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Explore our most popular Use Cases: Take the Guesswork out of Forecasting in Salesforce: https://valorx.com/forecasting Complex quoting, simplified: https://valorx.com/fusion-cpq Easily manage Sales Pipeline: https://valorx.com/solutions/sales-productivity How do you position yourself against your competitors? ⭐Flexible and adaptable – Valorx Fusion fits organizations of all sizes and industries. Whether you’re a team of two or an enterprise with thousands of employees, Valorx Fusion seamlessly adapts to your specific needs. ⭐Familiar Spreadsheet-like UI – Valorx Fusion brings the power of Salesforce into a familiar spreadsheet environment, ensuring a smooth learning curve and easy adoption. ⭐Performance-driven – Designed to handle complex operations efficiently, Fusion ensures high performance even with large datasets, minimizing downtime and maximizing productivity. ⭐Secure and compliant – With robust security measures and compliance with industry standards, Fusion safeguards your data while meeting regulatory requirements. Hear from our customers: https://valorx.com/customer-love/ **Average Rating:** 4.8/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Valorx Fusion?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Valorx Fusion?** - **Seller:** [Valorx](https://www.g2.com/sellers/valorx) - **Year Founded:** 2019 - **HQ Location:** Pleasanton, US - **Twitter:** @ValorxTweets (18 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/valorx (69 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise #### What Are Valorx Fusion's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Integrations (2 reviews) - Salesforce Integration (2 reviews) - Time-saving (2 reviews) - Affordable (1 reviews) **Cons:** - Complex Logic (1 reviews) - Connection Issues (1 reviews) - Error Reporting (1 reviews) - Integration Issues (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Valorx Fusion? *AI-generated summary from verified user reviews* **Pros:** - Users find Valorx Fusion **easy to use** , especially with its seamless integration and familiar Excel format for data management. - Users are impressed by the **seamless integrations** of Valorx Fusion, simplifying data management with Excel and Salesforce. - Users find that the **Salesforce Integration** of Valorx Fusion simplifies data management and enhances overall team productivity. - Users find that Valorx Fusion offers **time-saving features** that streamline Salesforce data management through a familiar Excel interface. - Users praise the **affordability** of Valorx Fusion, enjoying its excellent value for managing Salesforce data efficiently. **Cons:** - Users find it challenging to address **complex logic issues** due to unclear error messages after saving data. - Users often face **integration issues** with Valorx Fusion, but support helps resolve them systematically. - Users find it challenging to identify **error reporting issues** due to vague messages after saving, complicating troubleshooting. - Users face initial **integration problems** with Valorx Fusion, but support assists in resolving these issues effectively. - Users find the **learning curve challenging** , indicating that the interface is less intuitive than anticipated. #### What Are Recent G2 Reviews of Valorx Fusion? **"[Effortless Salesforce Data Management with Valorx Fusion](https://www.g2.com/survey_responses/valorx-fusion-review-10944548)"** **Rating:** 5.0/5.0 stars *— Verified User in Semiconductors* [Read full review](https://www.g2.com/survey_responses/valorx-fusion-review-10944548) --- **"[Seamless Quoting with Valorx (Salesforce + Excel)](https://www.g2.com/survey_responses/valorx-fusion-review-11429016)"** **Rating:** 4.5/5.0 stars *— Yassine B.* [Read full review](https://www.g2.com/survey_responses/valorx-fusion-review-11429016) --- ### 5. [BEEM](https://www.g2.com/products/beem-technologies-inc-beem/reviews) BEEM is a cloud data platform built for teams looking to have a huge impact on the adoption of their data across their entire organization. Built with analysts and engineers in mind, the platform offers a wide variety of convenient features to bridge the gap for business users that want to self-serve. BEEM is redefining business intelligence with Data and AI Services, delivering speed, cost-effectiveness, and expert support underpinned by a modern SaaS cloud data platform that offers managed cloud infrastructure and a panoply of cutting edge data modeling features to make your data projects a breeze. Transform Your Business Data Into AI-Powered Intelligence Without the Technical Complexity BEEM is the all-in-one managed data platform that eliminates the "build versus buy" dilemma for mid-market companies. While competitors force you to choose between expensive enterprise solutions or complex DIY implementations, BEEM delivers enterprise-grade data capabilities through a fully managed service that gets you to insights in days, not months. Why Choose BEEM Over Traditional Data Platforms? Skip the months of setup, technical headaches, and costly data teams. BEEM's managed approach means your AWS Advanced Tier certified team handles the heavy lifting while you focus on business results. Our platform combines data lake, data warehouse, automated pipelines, and AI-driven dashboards in one seamless solution. 700+ Pre-Built Connectors Plus Custom Integration Flexibility Connect any system instantly—from SAP and QuickBooks to industry-specific software like construction management tools or healthcare platforms. Need something unique? Our team builds custom connectors as part of the service, not an expensive add-on. Whether it's financial data, operational metrics, or customer insights, BEEM unifies everything into your secure cloud data hub. Industry-Specific Expertise That Delivers Results BEEM understands that construction companies need different data solutions than healthcare organizations or e-commerce businesses. Our industry-focused approach has helped construction firms reduce estimation errors, healthcare providers maintain HIPAA compliance while improving patient outcomes, and growing businesses increase profitability by 10% through better data visibility. Enterprise Security Without Enterprise Costs Your data stays protected with SOC 2, GDPR, and PIPEDA compliance built-in. Single-tenant AWS architecture means your infrastructure remains isolated and secure, while our team handles all maintenance, updates, and security protocols. Proven ROI in Weeks, Not Years Companies using BEEM report 15% time savings weekly through automated reporting and real-time data access. Our one-year projects are delivered in phases, providing immediate value while building toward your complete data strategy. No infrastructure management, no hiring specialized staff, no vendor coordination headaches. Perfect for Teams Ready to Scale Without Technical Overhead Whether you're a growing company overwhelmed by data silos or an established business looking to modernize without the complexity, BEEM scales with your needs. From startups to enterprises, our platform grows with you while our data experts ensure your success every step of the way. Ready to stop wrestling with data and start leveraging it? BEEM makes advanced data analytics accessible to everyone. **Average Rating:** 4.3/5.0 **Total Reviews:** 3 **How Do G2 Users Rate BEEM?** - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind BEEM?** - **Seller:** [BEEM Technologies](https://www.g2.com/sellers/beem-technologies) - **Year Founded:** 2015 - **HQ Location:** Montreal, Quebec - **Twitter:** @beemdata - **LinkedIn® Page:** https://www.linkedin.com/company/beemdata (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Enterprise #### What Are Recent G2 Reviews of BEEM? **"[Best Plateform to manage finance](https://www.g2.com/survey_responses/beem-review-9937080)"** **Rating:** 4.5/5.0 stars *— Ram L.* [Read full review](https://www.g2.com/survey_responses/beem-review-9937080) --- **"[Best Database management software for Enterprise Employee Solutions !](https://www.g2.com/survey_responses/beem-review-9078725)"** **Rating:** 4.5/5.0 stars *— Anuj Ashish A.* [Read full review](https://www.g2.com/survey_responses/beem-review-9078725) --- ### 6. [Catchr](https://www.g2.com/products/catchr/reviews) Catchr – Simplifying Marketing Data Integration and Analysis Catchr enables seamless data integration from over 75 marketing platforms—including Facebook Ads, TikTok Ads, Shopify, Google Ads, and more—into various destinations such as dashboards, spreadsheets, and databases. Its mission is to help marketing professionals simplify data extraction and analysis on their favorite tools, so they can focus on performance and strategy. All integrations are 100% no-code and require no technical expertise to use. Key Benefits: - Time-saving automation - Centralized and unified data - Error-free data extraction - Easier performance analysis - Automatically updated data In addition, Catchr supports its users by offering educational resources such as lessons on tools like Looker Studio and Google Sheets, along with ready-to-use dashboard templates. Catchr is designed for everyone—from freelancers and small businesses to large agencies and enterprises. It's especially valuable for marketing professionals who manage multiple platforms and need real-time, centralized insights into their performance. It simplifies internal reporting as well as client reporting, making data sharing effortless. The Catchr platform is intuitive and user-friendly, with a guided setup process that makes connecting and extracting data simple and fast—no steep learning curve involved. Catchr is also known for its outstanding customer support. The team builds close relationships with users and goes the extra mile to help them succeed. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Catchr?** - **Seller:** [catchr](https://www.g2.com/sellers/catchr) - **Year Founded:** 2019 - **HQ Location:** Lyon, FR - **LinkedIn® Page:** https://www.linkedin.com/company/catchr (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Catchr? **"[Intuitive UI, excellent customer service, and competitive pricing](https://www.g2.com/survey_responses/catchr-review-12991119)"** **Rating:** 4.5/5.0 stars *— Noé K.* [Read full review](https://www.g2.com/survey_responses/catchr-review-12991119) --- **"[Powerful Integration Tool with Room for Improved Usability](https://www.g2.com/survey_responses/catchr-review-12711775)"** **Rating:** 4.5/5.0 stars *— Antonia M.* [Read full review](https://www.g2.com/survey_responses/catchr-review-12711775) --- ### 7. [Data Connector](https://www.g2.com/products/data-connector/reviews) Data Connector is an easy-to-use ETL and data pipeline platform that helps businesses move data between SaaS applications, databases, and analytics tools without complex engineering. We believe you own your data, and accessing it should be simple and affordable. That’s why Data Connector offers transparent pricing starting at $15 per connector per month, making professional data integration accessible to companies of any size. With fast setup and the ability to connect to any software with an API, Data Connector enables teams to quickly build automated data pipelines and power dashboards, reporting, and analytics. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Data Connector?** - **Seller:** [Data Connector](https://www.g2.com/sellers/data-connector) - **Year Founded:** 2022 - **HQ Location:** American Fork, US - **LinkedIn® Page:** https://www.linkedin.com/company/dataconnector/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Data Connector? **"[Easy, Code-Free API Connections with AI Support](https://www.g2.com/survey_responses/data-connector-review-12544717)"** **Rating:** 5.0/5.0 stars *— Michael T.* [Read full review](https://www.g2.com/survey_responses/data-connector-review-12544717) --- **"[Effortless Setup, Fair Pricing, Needs More Connectors](https://www.g2.com/survey_responses/data-connector-review-12474130)"** **Rating:** 4.5/5.0 stars *— Austin B.* [Read full review](https://www.g2.com/survey_responses/data-connector-review-12474130) --- ### 8. [DB Amp](https://www.g2.com/products/db-amp/reviews) With DBAmp, you can easily access your Salesforce objects using SQL Select, Update, Insert and Delete statements. **Average Rating:** 4.6/5.0 **Total Reviews:** 5 **How Do G2 Users Rate DB Amp?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 6.7/10 (Category avg: 8.7/10) - **Auditing:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind DB Amp?** - **Seller:** [CData](https://www.g2.com/sellers/cdata) - **Year Founded:** 2014 - **HQ Location:** Chapel Hill, NC - **Twitter:** @cdatasoftware (2,000 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (500 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Mid-Market #### What Are Recent G2 Reviews of DB Amp? **"[Salesforce to SQL server integration](https://www.g2.com/survey_responses/db-amp-review-7764265)"** **Rating:** 4.0/5.0 stars *— jayasree m.* [Read full review](https://www.g2.com/survey_responses/db-amp-review-7764265) --- **"[Excelent SQL server - Salesforce Integration](https://www.g2.com/survey_responses/db-amp-review-5299808)"** **Rating:** 4.5/5.0 stars *— Christian A.* [Read full review](https://www.g2.com/survey_responses/db-amp-review-5299808) --- #### What Are G2 Users Discussing About DB Amp? - [What is DB Amp used for?](https://www.g2.com/discussions/what-is-db-amp-used-for) ### 9. [Nugit](https://www.g2.com/products/nugit/reviews) Nugit is an automated Data Storytelling Platform, going beyond a dashboard, helping to enable people to sift through overwhelming and complex data to find the insights and opportunities within. Nugit is able to provide these insights through data storytelling at scale, so it's immediately able to be understood. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Nugit?** - **Automation:** 5.0/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 5.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Nugit?** - **Seller:** [Nugit](https://www.g2.com/sellers/nugit) - **Year Founded:** 2013 - **HQ Location:** Singapore, SG - **Twitter:** @nugit (99 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3487776/ (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Nugit? **"[Story telling like an expert (only trial experience)](https://www.g2.com/survey_responses/nugit-review-3184824)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/nugit-review-3184824) --- #### What Are G2 Users Discussing About Nugit? - [What is Nugit used for?](https://www.g2.com/discussions/what-is-nugit-used-for) ### 10. [OpenETL](https://www.g2.com/products/openetl/reviews) OpenETL is a powerful Extract, Transform, Load (ETL) platform built for organizations that need speed, scalability, and control. Leveraging Apache Spark for distributed computing, FastAPI for a high-performance backend, and Next.js for a seamless frontend, OpenETL makes it easy to manage complex data workflows from extraction to transformation to loading. With OpenETL, you can: Extract data from multiple databases, APIs, and files Transform with custom business rules, mapping, joins, aggregations, and validations using Spark Load into warehouses, lakes, and business applications at scale Key Features: 🚀 Scalable Spark-powered transformations for batch and real-time processing ⚡ FastAPI + Next.js UI for an intuitive, modern user experience 📅 Scheduling & automation with APScheduler for hands-off workflows 🔄 Task orchestration & background jobs via Celery 🔐 Role-Based Access Control (RBAC) for enterprise-grade security 📊 Comprehensive logging & monitoring across every job for full visibility 🗂️ Integration history & audit trails for compliance and traceability 📦 Batch processing to handle large datasets without performance trade-offs 🤝 Support included in every paid tier (Pro & Enterprise) for faster issue resolution 🛠️ Free, Pro, and Enterprise editions to fit any team’s size and needs Why OpenETL? Simplify pipeline management with drag-and-drop workflows Scale confidently with distributed Spark computing Ensure security with RBAC Gain transparency with detailed logs and monitoring Get guaranteed support in every paid plan Whether you’re a startup running lean data pipelines or an enterprise orchestrating mission-critical workflows, OpenETL delivers the performance, security, and reliability you need. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate OpenETL?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind OpenETL?** - **Seller:** [DataOmni Solutions](https://www.g2.com/sellers/dataomni-solutions) - **Year Founded:** 2024 - **HQ Location:** Karachi, PK - **Twitter:** @DataOmniTeam - **LinkedIn® Page:** https://www.linkedin.com/company/dataomni-solutions/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are OpenETL's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Intuitive (2 reviews) - Quick Setup (2 reviews) - Automation (1 reviews) - Data Integration (1 reviews) ### What Do G2 Reviewers Say About OpenETL? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **user-friendly interface** of OpenETL, enabling quick and easy data integration and automation. - Users find OpenETL **intuitive** , appreciating its user-friendly interface and quick setup for data integration tasks. - Users appreciate the **quick setup** of OpenETL, allowing fast implementation of ETL pipelines with minimal configuration. - Users praise OpenETL for its **automation capabilities** , significantly speeding up data processing with seamless integration. - Users commend OpenETL for its **fast and easy data integration** , enhancing efficiency and user experience significantly. #### What Are Recent G2 Reviews of OpenETL? **"[Smooth data transition](https://www.g2.com/survey_responses/openetl-review-11739728)"** **Rating:** 5.0/5.0 stars *— Kamran K.* [Read full review](https://www.g2.com/survey_responses/openetl-review-11739728) --- **"[Scalable, Reliable, and Easy-to-Use No-Code ETL Platform](https://www.g2.com/survey_responses/openetl-review-11738246)"** **Rating:** 5.0/5.0 stars *— Noor u.* [Read full review](https://www.g2.com/survey_responses/openetl-review-11738246) --- ### 11. [Advanced ETL Processor](https://www.g2.com/products/advanced-etl-processor/reviews) Advanced ETL Processor is a professional ETL and data integration solution designed for developers, data engineers, and IT teams who need to move, transform, and automate data workflows efficiently. The platform supports a wide range of data sources and formats, including Excel, CSV, XML, JSON, QVD/QVX, REST APIs, and major databases such as MySQL, PostgreSQL, SQL Server, Oracle, MariaDB, and more. Users can build visual ETL workflows to extract, transform, validate, and load data with advanced mapping, filtering, aggregation, and scripting capabilities. Advanced ETL Processor is commonly used for data migration, reporting, business intelligence, system integration, and automation tasks. It helps organizations reduce manual work, improve data quality, and ensure reliable data synchronization across systems — without requiring heavy custom development. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Advanced ETL Processor?** - **Seller:** [DB Software Laboratory](https://www.g2.com/sellers/db-software-laboratory) - **Year Founded:** 2008 - **HQ Location:** Coventry, GB - **Twitter:** @etl_tools (81 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/etl-tools (3 employees on LinkedIn®) #### What Are Recent G2 Reviews of Advanced ETL Processor? **"[Very versatile](https://www.g2.com/survey_responses/advanced-etl-processor-review-5043268)"** **Rating:** 5.0/5.0 stars *— José M.* [Read full review](https://www.g2.com/survey_responses/advanced-etl-processor-review-5043268) --- #### What Are G2 Users Discussing About Advanced ETL Processor? - [What is ETL-tools.com used for?](https://www.g2.com/discussions/etl-tools-com-what-is-etl-tools-com-used-for) - [What is ETL-tools.com used for?](https://www.g2.com/discussions/what-is-etl-tools-com-used-for) ### 12. [Autosift](https://www.g2.com/products/autosift/reviews) Glib.ai Bank Statement Analyzer is an advanced tool designed to automate and simplify the process of analyzing bank statements. It leverages AI/ML technology to extract data from PDFs, scanned copies, or electronic formats of bank statements, regardless of structure or format. The solution is aimed at banks, NBFCs, lending institutions, and other financial entities that require a fast and accurate way to assess the financial health of their customers. Key Features: Automated Data Extraction: Extracts and organizes transaction details like debits, credits, balance, income, and expenses. Multi-Format Support: Handles diverse formats including PDF, scanned documents, or digital files. Comprehensive Analytics: Provides insights into income patterns, overdraft usage, and financial behavior, enabling faster decision-making for credit and risk assessment. Fraud Detection: Identifies suspicious or fraudulent activities by cross-verifying with other data points. Customizable: Tailored to meet the specific needs of BFSI companies, with integration options for existing platforms. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Autosift?** - **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:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Autosift?** - **Seller:** [Glib.ai](https://www.g2.com/sellers/glib-ai) - **Year Founded:** 2013 - **HQ Location:** Ahmedabad, IN - **LinkedIn® Page:** https://www.linkedin.com/company/glib-dot-ai (49 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Autosift's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Ease of Use (1 reviews) - Implementation Ease (1 reviews) - Integrations (1 reviews) - Time-saving (1 reviews) **Cons:** - Not User-Friendly (1 reviews) ### What Do G2 Reviewers Say About Autosift? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **excellent customer support** of Autosift, enhancing their overall experience and satisfaction. - Users find Autosift's **ease of use** enhances implementation and operational efficiency, significantly reducing turnaround times. - Users appreciate the **implementation ease** of Autosift, finding it straightforward and effective to integrate with existing systems. - Users benefit from the **seamless integrations** of Autosift, enhancing workflow efficiency and compatibility with existing systems. - Users appreciate the **time-saving capabilities** of Autosift, significantly reducing turnaround time and boosting efficiency. **Cons:** - Users find Autosift **not user-friendly** due to its automation, leading to insufficient cross-checking by team members. #### What Are Recent G2 Reviews of Autosift? **"[Glib's Bank statement Analyser is the best overall.](https://www.g2.com/survey_responses/autosift-review-10852801)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/autosift-review-10852801) --- ### 13. [Bear Cognition](https://www.g2.com/products/bear-cognition/reviews) Bear Cognition, headquartered in Charleston, South Carolina, is a high-touch data intelligence and solutions company that helps organizations turn potential into performance through the power of AI solutions. By combining proprietary tools with our Data Lab, we deliver tailored solutions that empower clients to unlock insights and drive results faster and more effectively than ever imagined. You know AI is valuable. You have data, challenges, and goals. But how do you turn AI potential into real business impact? Our SwaS® (Software with a Service) model blends the speed and scalability of SaaS with hands-on expertise, providing clients with the tools and support needed to efficiently extract intelligence and optimize performance from their data, no matter the industry. Our solutions drive excellence: \* Data that Delivers - transform raw data into actionable insights \* AI Powered Decisions - Predict, optimize, and automate smarter \* Automation that Scales - Reduce inefficiencies, not just workloads \* Tech that Fits - The right solutions, tailored to your industry. No cookie-cutter software here. Examples include AI-powered anomaly detection systems, revenue optimization tools, intelligent document processing solutions, and anything else you can dream up. At Bear Cognition, we: \* Execute where others ideate - AI without implementation is just a buzzword. \* Move you further, faster - Speed matters. We help companies gain an edge. \* Say "No" - If we're not the right fit, we'll tell you. We want partners, not just clients. Our Data Professionals work as an extension of your team, collaborating to customize solutions, integrate new technologies, and ensure you achieve better outcomes—faster. We don’t just deliver software; we provide the expertise to make it work for you. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Bear Cognition?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Bear Cognition?** - **Seller:** [Bear Cognition](https://www.g2.com/sellers/bear-cognition) - **Year Founded:** 2021 - **HQ Location:** North Charleston, South Carolina, United States - **LinkedIn® Page:** https://www.linkedin.com/company/bear-cognition (49 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Bear Cognition's Pros and Cons? **Pros:** - Customer Support (1 reviews) **Cons:** - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About Bear Cognition? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **superb customer support** of Bear Cognition for effectively resolving complex issues. **Cons:** - Users report **integration issues** primarily tied to Google Looker Studio, not Bear Cognition itself. #### What Are Recent G2 Reviews of Bear Cognition? **"[Incredible team and support](https://www.g2.com/survey_responses/bear-cognition-review-10347321)"** **Rating:** 5.0/5.0 stars *— Chris W.* [Read full review](https://www.g2.com/survey_responses/bear-cognition-review-10347321) --- **"[Great Team and Product](https://www.g2.com/survey_responses/bear-cognition-review-11349172)"** **Rating:** 5.0/5.0 stars *— Ryan H.* [Read full review](https://www.g2.com/survey_responses/bear-cognition-review-11349172) --- ### 14. [CloudQuery](https://www.g2.com/products/cloudquery/reviews) CloudQuery is a high-performance cloud asset inventory platform. CloudQuery supports multiple use cases including engineering, security, cloud security, marketing, sales, cloud infrastructure, and FinOps. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate CloudQuery?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind CloudQuery?** - **Seller:** [CloudQuery](https://www.g2.com/sellers/cloudquery) - **Year Founded:** 2021 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/cloudqueryio (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of CloudQuery? **"[An invaluable tool for cybersecurity teams.](https://www.g2.com/survey_responses/cloudquery-review-8822581)"** **Rating:** 5.0/5.0 stars *— Verified User in E-Learning* [Read full review](https://www.g2.com/survey_responses/cloudquery-review-8822581) --- **"[Simple yet powerful tool to create an inventory of everything in your cloud](https://www.g2.com/survey_responses/cloudquery-review-9006111)"** **Rating:** 5.0/5.0 stars *— Daniel S.* [Read full review](https://www.g2.com/survey_responses/cloudquery-review-9006111) --- ### 15. [csvbox.io](https://www.g2.com/products/csvbox-io/reviews) CSVBox is a powerful CSV, Excel, and Spreadsheet Importer that helps SaaS teams onboard user data in minutes — not months. Add a beautiful, secure, and fully embeddable data importer to your web app with just a few lines of code. Your users can upload, map, validate, and submit CSV or Excel files seamlessly — no support tickets, no messy parsing scripts. Key Features: 🧩 Embeddable Widget: Add a spreadsheet importer to any web or SaaS app — JavaScript, React, Bubble, Webflow, and more. ⚙️ Smart Column Mapping: Auto-detect and match columns with friendly UI. ✅ Data Validations: Built-in and custom validations at table, row, and cell level — with clear error feedback. 🔒 Security & Compliance: SOC 2 Type II, GDPR-ready, Private Mode, EU/US data residency options. 🧠 Server-Side Checks: Validate data before it reaches your database via webhooks or APIs. 🌍 File Support: Accept CSV, XLS, and XLSX formats (configurable by admin). 💬 Customizable UI: Match your product branding and UX. CSVBox is trusted by SaaS startups, enterprise tools, and internal data teams to streamline data imports, ensure accuracy, and deliver a first-class onboarding experience. **Average Rating:** 4.7/5.0 **Total Reviews:** 6 **Who Is the Company Behind csvbox.io?** - **Seller:** [Thalia Technologies](https://www.g2.com/sellers/thalia-technologies) - **HQ Location:** Mumbai, IN - **Twitter:** @csvboxio (32 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/thalia-technologies/about/ (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 83% Small-Business, 17% Mid-Market #### What Are csvbox.io's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Time Efficiency (1 reviews) **Cons:** - Missing Features (1 reviews) ### What Do G2 Reviewers Say About csvbox.io? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of csvbox.io, which significantly streamlines data cleaning and formatting tasks. - Users appreciate the **time-saving efficiency** of csvbox.io, enabling them to focus on high-priority tasks. **Cons:** - Users wish for improved **offline support features** in csvbox.io, often relying on other software for data handling. #### What Are Recent G2 Reviews of csvbox.io? **"[csvbox.io is a necessary tool for IT professionals](https://www.g2.com/survey_responses/csvbox-io-review-10240797)"** **Rating:** 4.5/5.0 stars *— Raj Kumar M.* [Read full review](https://www.g2.com/survey_responses/csvbox-io-review-10240797) --- **"[Easy to use!](https://www.g2.com/survey_responses/csvbox-io-review-7942886)"** **Rating:** 5.0/5.0 stars *— Sean T.* [Read full review](https://www.g2.com/survey_responses/csvbox-io-review-7942886) --- ### 16. [Dagster](https://www.g2.com/products/dagster/reviews) Ship data pipelines with extraordinary velocity. Dagster is the cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Dagster?** - **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 Dagster?** - **Seller:** [Dagster Labs](https://www.g2.com/sellers/dagster-labs) - **Year Founded:** 2018 - **HQ Location:** San Francisco ,California ,United States - **LinkedIn® Page:** https://www.linkedin.com/company/dagsterlabs/ (92 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Dagster's Pros and Cons? **Pros:** - Analytics (2 reviews) - Ease of Use (2 reviews) - Features (2 reviews) - Flexibility (2 reviews) - Data Engineering (1 reviews) **Cons:** - Difficult Learning (2 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) - Steep Learning Curve (2 reviews) - Complex Setup (1 reviews) ### What Do G2 Reviewers Say About Dagster? *AI-generated summary from verified user reviews* **Pros:** - Users value the **robust analytics** in Dagster, enhancing reliability and transparency in data orchestration pipelines. - Users find Dagster to be **easy to use** , enhancing their data orchestration experience with reliability and transparency. - Users value the **asset-centric approach** of Dagster, enhancing the reliability and transparency of data orchestration. - Users value the **flexibility** of Dagster, making it suitable for various data engineering use cases with ease. - Users praise Dagster for its **sophisticated and modern capabilities** , making it suitable for diverse data engineering use-cases. **Cons:** - Users face a **steep learning curve** with Dagster, making initial adoption and understanding quite challenging. - Users find the **steep learning curve** of Dagster challenging, hindering smooth adoption for new users. - Users find Dagster's **steep learning curve** and complex setup challenging, affecting adoption and usability for smaller teams. - Users find Dagster's **steep learning curve** challenging, making initial adoption difficult for new users. - Users find Dagster's **complex setup** challenging, hindering adoption and making it less suitable for smaller teams. #### What Are Recent G2 Reviews of Dagster? **"[Dagster: Review](https://www.g2.com/survey_responses/dagster-review-12205767)"** **Rating:** 4.0/5.0 stars *— Aarsh B.* [Read full review](https://www.g2.com/survey_responses/dagster-review-12205767) --- **"[Much more advanced and modern alternative to Apache Airflow](https://www.g2.com/survey_responses/dagster-review-11304116)"** **Rating:** 5.0/5.0 stars *— Kelvin Ngoc Nguyen L.* [Read full review](https://www.g2.com/survey_responses/dagster-review-11304116) --- ### 17. [Data I Am](https://www.g2.com/products/data-i-am/reviews) Data I Am (or Dataiam) is an AI-powered data loader for Salesforce that streamlines data imports (inserts, updates, upserts, deletes) and data export from Salesforce, making these processes efficient and error-free. Designed for Salesforce Admins and data analysts, it’s a zero-code solution for anyone needing a reliable Salesforce data loader with the added power of AI. Loading data from spreadsheets or CSVs into Salesforce can be challenging since these files don't inherently understand Salesforce objects and fields. Admins often spend hours manually formatting and adjusting data. Data I Am simplifies this process using AI, saving time and reducing errors. With Data I Am, users can: - Fix CSV Structure: Automatically adjust CSV files to match Salesforce's object definitions, making data imports seamless. - Map Data Accurately: Effortlessly map CSV columns to the correct Salesforce fields, reducing errors and saving time. - Fetch Missing Record IDs: Identify and retrieve missing Record IDs before running update jobs, eliminating the need for VLOOKUPs. - Handle Invalid Picklist Values: Convert invalid picklist values to correct Salesforce options, preventing import issues. - Generate SOQL Queries: Quickly create syntax-correct SOQL queries and preview results, simplifying data exports. Ideal for Salesforce Admins, data analysts, and anyone working with Salesforce data, Data I Am automates tedious data fixing, data import, and data export tasks, ensuring efficient, accurate, and high-quality Salesforce data loading. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Data I Am?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Data I Am?** - **Seller:** [Data I Am](https://www.g2.com/sellers/data-i-am) - **Year Founded:** 2024 - **HQ Location:** Half Moon Bay, US - **LinkedIn® Page:** https://www.linkedin.com/company/dataiam/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Data I Am's Pros and Cons? **Pros:** - Data Management (1 reviews) - Ease of Use (1 reviews) - Time-saving (1 reviews) **Cons:** - Difficult Setup (1 reviews) - Limitations (1 reviews) - Limited Features (1 reviews) - Workflow Issues (1 reviews) ### What Do G2 Reviewers Say About Data I Am? *AI-generated summary from verified user reviews* **Pros:** - Users love how Data I Am makes data **easy to organize and understand** , facilitating quicker and more confident decision-making. - Users appreciate the **ease of use** of Data I Am, facilitating quick and confident decision-making through organized data. - Users praise the **time-saving** features of Data I Am, enhancing their decision-making efficiency and confidence. **Cons:** - Users find the **difficult setup** time-consuming, especially when trying to implement detailed workflows. - Users experience **limited advanced features** , making detailed workflow setup time-consuming and frustrating. - Users find the **limited advanced features** restricts usability and can make workflow setup time-consuming. - Users find that **workflow issues** arise due to limited advanced features and the time-consuming setup process. #### What Are Recent G2 Reviews of Data I Am? **"[Easy Way to Understand Data](https://www.g2.com/survey_responses/data-i-am-review-12085869)"** **Rating:** 4.5/5.0 stars *— Micheal S.* [Read full review](https://www.g2.com/survey_responses/data-i-am-review-12085869) --- ### 18. [Data Loader for Marketo](https://www.g2.com/products/data-loader-for-marketo/reviews) Data Loader for Marketo is a tool that allows extraction of Marketo data and storing it to SQL servers with scheduler. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind Data Loader for Marketo?** - **Seller:** [Trend Org](https://www.g2.com/sellers/trend-org) - **Year Founded:** 2016 - **HQ Location:** N/A - **Twitter:** @DLMarketo (20 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/data-loader-for-marketo/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are G2 Users Discussing About Data Loader for Marketo? - [What is Data Loader for Marketo used for?](https://www.g2.com/discussions/what-is-data-loader-for-marketo-used-for) ### 19. [Google Cloud Data Fusion](https://www.g2.com/products/google-cloud-data-fusion/reviews) Fully managed, code-free data integration at any scale. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Google Cloud Data Fusion?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Google Cloud Data Fusion?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of Google Cloud Data Fusion? **"[DataFusion - An honest review](https://www.g2.com/survey_responses/google-cloud-data-fusion-review-5261525)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/google-cloud-data-fusion-review-5261525) --- **"[helps scalable data lakes](https://www.g2.com/survey_responses/google-cloud-data-fusion-review-4841589)"** **Rating:** 5.0/5.0 stars *— Tejesh N.* [Read full review](https://www.g2.com/survey_responses/google-cloud-data-fusion-review-4841589) --- #### What Are G2 Users Discussing About Google Cloud Data Fusion? - [What is Google Cloud Data Fusion used for?](https://www.g2.com/discussions/what-is-google-cloud-data-fusion-used-for) ### 20. [HelloGuru](https://www.g2.com/products/helloguru-helloguru/reviews) HelloGuru is the easiest way to sync product and customer data from any source to your preferred destinations, such as CRMs and marketing tools. Eliminating the need to write SQL or custom scripts, Revenue Operations teams can use HelloGuru to create data syncs that keep their GTM teams up to date with the most recent product and customer data. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate HelloGuru?** - **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 HelloGuru?** - **Seller:** [HelloGuru](https://www.g2.com/sellers/helloguru) - **Year Founded:** 2019 - **HQ Location:** Boston, US - **Twitter:** @Helloguru_io (1,763 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/helloguru-no-code (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of HelloGuru? **"[Awesome product that helps move data from other systems to one place](https://www.g2.com/survey_responses/helloguru-review-6769058)"** **Rating:** 5.0/5.0 stars *— Will S.* [Read full review](https://www.g2.com/survey_responses/helloguru-review-6769058) --- **"[Great solution created by a superb team](https://www.g2.com/survey_responses/helloguru-review-6769265)"** **Rating:** 5.0/5.0 stars *— Ricardo B.* [Read full review](https://www.g2.com/survey_responses/helloguru-review-6769265) --- ### 21. [Hopted](https://www.g2.com/products/hopted/reviews) Empowering Amazon Sellers with Streamlined Data Management In today's dynamic e-commerce landscape, success for Amazon sellers hinges on efficient data management. Juggling critical information across various platforms, including Amazon Seller Central, can be a major hurdle. From tracking sales and inventory to managing fulfillment through FBA (Fulfillment by Amazon) and potentially leveraging AWD (Amazon Warehousing and Distribution), sellers face a constant influx of data that demands organization and analysis. Hopted automates data flows between Google Sheets and a wide range of business applications, including marketplaces, accounting tools, CRM, and ERP systems. This eliminates the need for manual data manipulation, such as cumbersome CSV downloads and uploads, freeing up valuable time and resources. For Amazon sellers, Hopted provides a critical advantage by offering seamless Amazon Google Sheets integration. This allows you to directly connect your Amazon Seller Central data to Google Sheets, gaining real-time visibility into your sales performance, inventory levels (including FBA stock), and other key metrics within a familiar and flexible environment. This integration is crucial for optimizing operations, whether you're using FBA or exploring AWD for your warehousing needs. Hopted goes beyond simple data transfer. It enables 2-way sync spreadsheets, allowing users to not only pull data from various sources into Google Sheets but also to update information in those source applications directly from their spreadsheets. This streamlines workflows, reduces data entry errors, and ensures data consistency across all platforms. For businesses that rely heavily on Google Sheets for data analysis and reporting, Hopted provides a powerful extension, effectively functioning as an Amazon Google Sheets extension. It transforms Google Sheets into a dynamic business intelligence hub, where users can create custom reports, dashboards, and visualizations based on real-time data from their connected applications. This eliminates the need to switch between different platforms, download and reconcile data, and grapple with outdated information. This is a game-changer for Amazon sellers who want to monitor their FBA performance and optimize their supply chain, including potential AWD usage. Hopted is particularly valuable for organizations that may lack dedicated data teams. By simplifying data access and automation, Hopted democratizes data, making it accessible and actionable for everyone within the company. This empowers employees across departments – from sales and marketing to operations and finance – to make data-driven decisions without relying on specialized technical expertise. This is especially relevant for Amazon sellers, who often need to wear multiple hats and manage various aspects of their business. ✔ Gain a holistic view of their operations, including Amazon Seller Central performance ✔ Improve data accuracy and consistency, crucial for managing FBA inventory ✔ Automate repetitive data-related tasks, freeing up time for strategic decisions related to AWD ✔ Enhance collaboration and communication across teams ✔ Make faster, more informed decisions to optimize Amazon sales and logistics ✔ Ultimately, drive growth and profitability in their e-commerce ventures Take the next step - add the Hopted browser extension to Google Sheets. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Hopted?** - **Seller:** [Hopted](https://www.g2.com/sellers/hopted) - **Year Founded:** 2023 - **HQ Location:** N/A - **Twitter:** @Hopted_com (4 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hopted/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Hopted's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Implementation Ease (1 reviews) - Integration Capabilities (1 reviews) - Setup Ease (1 reviews) ### What Do G2 Reviewers Say About Hopted? *AI-generated summary from verified user reviews* **Pros:** - Users praise Hopted for its **ease of use** , delivering seamless integration and quick setup for processes. - Users commend Hopted for its **easy integrations** , facilitating seamless connections with tools like Google Sheets. - Users commend Hopted for its **implementation ease** , effortlessly connecting Amazon Seller Central with Google Sheets. - Users praise Hopted for its **seamless integration capabilities** , enabling efficient data connection with minimal hassle. - Users find Hopted's **setup ease** exceptional, allowing quick and hassle-free integration with Amazon Seller Central. #### What Are Recent G2 Reviews of Hopted? **"[Much needed service, well implemented.](https://www.g2.com/survey_responses/hopted-review-10257632)"** **Rating:** 5.0/5.0 stars *— Doug S.* [Read full review](https://www.g2.com/survey_responses/hopted-review-10257632) --- ### 22. [IBM Information Server on Cloud](https://www.g2.com/products/ibm-information-server-on-cloud/reviews) InfoSphere Information Server on Cloud provides a fully customizable, comprehensive data integration platform powered by the IBM Cloud infrastructure. Bring flexibility and scalability to your enterprise information strategy. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate IBM Information Server on Cloud?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.1/10) **Who Is the Company Behind IBM Information Server on Cloud?** - **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?** - **Company Size:** 100% Enterprise ### 23. [Lenses](https://www.g2.com/products/lenses/reviews) Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io **Average Rating:** 4.2/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Lenses?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) **Who Is the Company Behind Lenses?** - **Seller:** [Lenses.io Ltd](https://www.g2.com/sellers/lenses-io-ltd) - **Company Website:** https://lenses.io/ - **Year Founded:** 2016 - **HQ Location:** London, England - **Twitter:** @lensesio (732 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lensesio/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 35% Mid-Market #### What Are Lenses's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - User Interface (6 reviews) - Features (4 reviews) - Intuitive (4 reviews) - Data Management (3 reviews) **Cons:** - Feature Limitations (5 reviews) - Limitations (5 reviews) - Limited Access (3 reviews) - Missing Features (3 reviews) - Product Maturity (3 reviews) ### What Do G2 Reviewers Say About Lenses? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Lenses, finding the interface simple and effective for data visualization. - Users appreciate the **user-friendly interface** of Lenses, finding it simple and effective for visualizing Kafka resources. - Users value the **user-friendly visualization** and SQL querying capabilities of Lenses, making data management straightforward and effective. - Users value the **intuitive design** of Lenses, making it easy for both novices and experts to navigate effortlessly. - Users highlight the **dependable data management** abilities of Lenses, making their data workflow efficient and straightforward. **Cons:** - Users express concern over **feature limitations** that may lead to vendor lock-in and restrict future flexibility. - Users express concerns over **vendor lock-in** and limited flexibility due to persistent issues and lack of significant updates. - Users express concerns about **limited access** due to vendor lock-in and stagnation in feature development. - Users feel Lenses is lacking **significant features** , with minimal updates and ongoing issues affecting usability. - Users express concerns about **ongoing bugs and stagnant development** in Lenses, affecting usability and satisfaction. #### What Are Recent G2 Reviews of Lenses? **"[Using Lenses for years, pros and cons](https://www.g2.com/survey_responses/lenses-review-11974835)"** **Rating:** 4.0/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/lenses-review-11974835) --- **"[Reliable tool for managing and searching data streams](https://www.g2.com/survey_responses/lenses-review-11971548)"** **Rating:** 4.5/5.0 stars *— Jose Manuel C.* [Read full review](https://www.g2.com/survey_responses/lenses-review-11971548) --- ### 24. [Marjory](https://www.g2.com/products/marjory/reviews) Marjory is The all-in-one middleware solution for data integration, to cost-effectively simplify complex workflows. Our solution is designed for small and mid businesses, to cost-effectively manage high volume data integration, simplify, automate and manage complex workflows, dedicated to composable architecture, that facilitate connections between Legacy IT systems and top SaaS solutions. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Marjory?** - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 3.3/10 (Category avg: 8.7/10) - **Auditing:** 3.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Marjory?** - **Seller:** [Marjory](https://www.g2.com/sellers/marjory) - **Year Founded:** 2018 - **HQ Location:** Paris, FR - **LinkedIn® Page:** https://www.linkedin.com/company/marjory-solution/ (42 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market ### 25. [NexNow Integration Services](https://www.g2.com/products/nexnow-integration-services/reviews) Data feeds that automatically shuttle data back and forth between ConnectWise and third-party apps or custom-built systems. Integrations that extend the range of ConnectWise's ability with third-party platforms and services. Applications that dramatically increase ConnectWise functionality, or perform a specific set of tasks based on your particular workflow. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate NexNow Integration Services?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 6.7/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind NexNow Integration Services?** - **Seller:** [NexNow](https://www.g2.com/sellers/nexnow) - **Year Founded:** 2011 - **HQ Location:** Charleston, US - **LinkedIn® Page:** https://www.linkedin.com/company/nexnow (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of NexNow Integration Services? **"[Simplifying Tomorrow’s Connections](https://www.g2.com/survey_responses/nexnow-integration-services-review-10196729)"** **Rating:** 4.5/5.0 stars *— Yogesh G.* [Read full review](https://www.g2.com/survey_responses/nexnow-integration-services-review-10196729) --- ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [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) --- ## 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