# Best ETL Tools - Page 5 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* 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 (1,277 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)" | | 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Celigo, a greta integrator with a University Lab inside it.](https://www.g2.com/survey_responses/celigo-review-10532295)" | | 3 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,147 reviews) | Serverless analytics on large cloud datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (789 reviews) | Drag-and-drop data prep and reporting automation | "[Easy, Time-Saving Data Automation with Alteryx’s Drag-and-Drop Workflows](https://www.g2.com/survey_responses/alteryx-review-12594796)" | | 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Unified Data Management with Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)" | | 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (124 reviews) | Geospatial and multi-format data transformation | "[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)" | | 7 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (778 reviews) | Managed connector-based data ingestion | "[Simple Setup, Reliable Syncing, and Powerful Pre-Built Connectors](https://www.g2.com/survey_responses/fivetran-review-12945842)" | | 8 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (746 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)" | | 9 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (989 reviews) | Self-service ETL feeding business dashboards | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | | 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (320 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Easy, No-Code Data Sync Setup with Straightforward Pricing](https://www.g2.com/survey_responses/skyvia-review-12828558)" | --- ## What Are the Most Common Questions About ETL Tools? *AI-generated · Last updated: May 26, 2026* ### How to evaluate ETL tools based on performance and transformation logic? Based on G2 reviews, buyers evaluating ETL tools for performance and transformation logic should focus on how well platforms handle large data volumes, connect multiple sources, and support dependable transformations without excessive manual work. According to verified users, strong options are often described as fast, scalable, and capable of simplifying complex workflows while supporting SQL, APIs, batch jobs, or real-time processing. G2 reviewers mention that practical evaluation also comes down to how easy pipelines are to debug, how clearly data flows can be monitored, and whether transformations can be reused or automated. Reviews also consistently call out tradeoffs such as steep learning curves, slow troubleshooting, or heavy resource use, so teams should weigh speed and flexibility against maintainability. ### What best ETL platforms with version control and team collaboration features? Based on G2 reviews, Databricks stands out strongly for ETL teams that want version-aware development and collaboration in one environment. According to verified users, Databricks is frequently praised for shared notebooks, Git-based repo sync, CI/CD support, and a workspace that helps engineers, analysts, and data teams work together on pipelines, transformations, and analytics. G2 reviewers mention that these collaboration features help reduce coordination overhead and make onboarding easier, especially when multiple users are working across notebooks and workflows. At the same time, reviewers also note tradeoffs such as workspace sprawl, UI complexity at scale, and the need for discipline around administration and cost control. Overall, recent reviews point to Databricks as the clearest single-product leader here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for shared notebooks, Git-based repo sync, collaborative ETL workflows, and centralized pipeline development ### How to choose an ETL platform for multi-source data integration? Based on G2 reviews, the best way to choose an ETL platform for multi-source data integration is to look for evidence that users successfully connect databases, SaaS apps, cloud storage, APIs, spreadsheets, and warehouses without heavy custom work. According to verified users, buyers should prioritize broad connector coverage, strong transformation options, scheduling, and reliability once pipelines are live. G2 reviewers mention that teams also care about how easily data can be standardized from fragmented systems into a single reporting or analytics layer. Reviews repeatedly highlight practical concerns such as debugging difficulty, documentation quality, and connector maturity, especially for edge cases. A strong fit is usually a platform that reduces manual exports, centralizes data movement, and keeps downstream reporting consistent. ### Where to buy ETL tools with flexible pricing for startups and enterprises? Based on G2 reviews, buyers looking for ETL tools with flexible pricing should compare platforms on how predictable costs remain as usage grows, not just on entry price. According to verified users, some tools are valued because they avoid forcing separate purchases for every workflow, while others are praised for fair monthly pricing, startup-friendly plans, or capacity-based structures that make budgeting easier. G2 reviewers mention that pricing friction often appears when usage scales, connectors are gated, or cost models become hard to forecast. For startup and enterprise buyers alike, the practical signal is whether teams feel they can expand integrations without constant pricing surprises. Reviews suggest prioritizing platforms described as affordable, transparent, or cost-effective for real production use. **Here are some of the top-rated products on G2:** - [Skyvia](https://www.g2.com/products/skyvia/reviews) – favored by small and mid-sized teams for affordable no-code integrations and predictable data movement workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – chosen for managed connector setup and reliability, though reviews often discuss cost planning as volume grows - [Celigo](https://www.g2.com/products/celigo/reviews) – used for expanding business integrations with low-code flows and reusable templates across systems ### Where to find cloud-native ETL platforms for modern data stacks? Based on G2 reviews, cloud-native ETL platforms for modern data stacks are typically the ones users describe as serverless, easy to integrate with cloud warehouses and storage, and well suited for SaaS-heavy environments. According to verified users, these products often support automated syncing into tools like Snowflake, BigQuery, Redshift, or cloud lakehouse environments while reducing infrastructure management. G2 reviewers mention that buyers should look for platforms praised for quick deployment, broad cloud connectors, scheduling, and compatibility with modern analytics workflows. Reviews also show that the best cloud-native fit depends on whether your team prioritizes low maintenance, open-source flexibility, or warehouse-centric transformation. In practice, users favor platforms that shorten setup time and keep pipelines dependable at scale. ### Which ETL tools support real-time streaming data processing? Based on G2 reviews, Databricks is the clearest match for ETL buyers who need support for real-time or near real-time data processing. According to verified users, Databricks is repeatedly used for streaming alongside batch workloads, with reviewers highlighting scalable Spark-based processing, unified pipeline management, and strong support for handling large or continuously changing datasets. G2 reviewers mention that the platform helps teams bring ETL, analytics, and data engineering into one environment, which is valuable when streaming workflows need to feed downstream reporting or operational systems. Reviewers also note tradeoffs such as cluster startup delays, debugging complexity, and cost monitoring requirements, but recent review volume still makes Databricks the strongest single-winner answer here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for both batch and real-time workflows, scalable Spark processing, and unified ETL plus analytics pipelines ### What best ETL software for building scalable data pipelines? Based on G2 reviews, the strongest ETL software for scalable data pipelines is usually the one users trust for large workloads, multi-source ingestion, and long-running production workflows without constant manual fixes. According to verified users, common strengths include handling high data volumes, integrating cloud services and warehouses, automating scheduling, and supporting reusable pipeline logic. G2 reviewers mention that scalability is not just raw performance; it also depends on monitoring, governance, ease of updates, and whether teams can keep pipelines maintainable as usage grows. Reviews consistently call out Databricks, Fivetran, and FME Platform as examples of tools used for scalable pipelines, though buyers should compare complexity, connector depth, and cost discipline against their own environment. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for scalable Spark-based pipelines, unified ETL workflows, and high-volume analytics processing - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used for managed ingestion pipelines from many SaaS sources into cloud warehouses with low maintenance - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for large multi-format workflows, automated transformations, and reliable enterprise-scale data movement ### Who offers ETL tools with low-code interface and drag-and-drop builders? Based on G2 reviews, several ETL vendors offer low-code interfaces and drag-and-drop builders aimed at making integration work easier for both technical and less technical teams. According to verified users, these tools are especially valued when they reduce scripting needs, speed up pipeline creation, and make workflows easier to explain or maintain. G2 reviewers mention visual builders, reusable templates, and no-code automation as recurring strengths across multiple products. At the same time, reviews show that low-code does not always mean simple at scale, since debugging, customization, or advanced logic can still introduce complexity. Buyers should look for products whose reviews specifically mention intuitive workflow design, easier onboarding, and broad integration support. **Here are some of the top-rated products on G2:** - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for visual workflow building, drag-and-drop transformations, and automation across many systems and formats - [Workato](https://www.g2.com/products/workato/reviews) – used for low-code recipe building, connector-based integrations, and workflow automation across business apps - [Celigo](https://www.g2.com/products/celigo/reviews) – used for low-code integration flows, prebuilt templates, and automating ERP, ecommerce, and SaaS workflows ### What ETL solutions support automated error handling and retries? Based on G2 reviews, ETL solutions that support automated error handling and retries are usually the ones users describe as reliable in production and strong at surfacing failures before they disrupt downstream reporting. According to verified users, these platforms often include retry logic, monitoring, alerts, or workflow controls that reduce the need for manual intervention. G2 reviewers mention detailed error visibility as a major advantage in products like Celigo, Fivetran, and Workato, especially when teams need to manage frequent integrations across multiple systems. Reviews also note that not every product is equally transparent when something breaks, so buyers should look beyond automation claims and evaluate how easy it is to identify, retry, and resolve failures in real workflows. ### Which ETL tools integrate with popular data lakes and data warehouses? Based on G2 reviews, Databricks is the strongest single answer for ETL tools that integrate with popular data lakes and data warehouses. According to verified users, Databricks is repeatedly used in environments that combine lakehouse architecture, cloud storage, external warehouses, and downstream analytics tools. G2 reviewers mention integrations with platforms such as BigQuery, Snowflake, cloud ecosystems, BI tools, and governed data layers, all within a unified workflow for ETL, analytics, and machine learning. Reviewers also highlight that the platform reduces fragmentation by bringing multiple workloads into one environment, though they note that cost management and complexity still require attention. For buyers prioritizing broad lake and warehouse alignment, Databricks appears most consistently in recent review evidence. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used with lakehouse architectures, cloud storage, external warehouses, and BI ecosystems in one ETL environment ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 248 ### Category Stats (Jun 2026) - **Average Rating**: 4.54/5 (↓0.01 vs May 2026) The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 710 - **Buyer Segments**: Mid-Market 42% │ Enterprise 34% │ Small-Business 24% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: Maia (+1.09%) - Among all products in this category, Maia recorded the largest rating increase compared to last month *Last updated: June 18, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,900+ Authentic Reviews - 248+ 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** ### Capsule CRM Capsule CRM is a growth-oriented customer relationship management (CRM) tool that empowers salespeople, marketers, and business owners to win more business, retain more clients, and deliver exceptional work. With a focus on simplicity and efficiency, our 10,000+ global customers are attracted by our excellent value and incredible support. [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%5Bdisplayable_resource_id%5D=179&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1585&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1585&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%3D5&secure%5Btoken%5D=861a9ec1c37af2a5b14938ae8e5c7e160661360164679f6aca801e79c94afebb&secure%5Burl%5D=https%3A%2F%2Fcapsulecrm.com%2Fcampaign%2Fyour-crm-alternative%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_campaign%3Dalternatives&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [enosix](https://www.g2.com/products/enosix/reviews) enosix is an innovative provider of real-time integration solutions between SAP ERP and front-end systems of engagement (such as Salesforce). Our solutions are pre-built and require minimal coding, enabling companies to quickly realize value—in days instead of months. enosix unlocks data, business process, authorizations, and user permissions from SAP without recreating it from the front-end, and delivers the back-end translation in an easy-to-understand, real-time, and bi-directional integration. **Average Rating:** 4.7/5.0 **Total Reviews:** 10 **How Do G2 Users Rate enosix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind enosix?** - **Seller:** [enosix](https://www.g2.com/sellers/enosix) - **Year Founded:** 2014 - **HQ Location:** Cincinnati, US - **Twitter:** @ENOSIX (387 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5290391/ (56 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 40% Mid-Market ### 2. [K3](https://www.g2.com/products/k3/reviews) LOW CODE INTEGRATION & STREAMING ETL. You don't need to know how to code to get your data where you want it. Whether you are looking to get your data into Snowflake, Redshift, or even legacy systems and databases K3 is your low code sustainable solution. Drop us a line for a demo or jump into AWS for a free test drive. -Large Adapter Library (connect to anything) -Intuitive Mapping -Data Rules Engine -Cloud or On-Premise **Average Rating:** 4.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate K3?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 9.7/10 (Category avg: 9.0/10) - **Scalability:** 9.7/10 (Category avg: 8.7/10) - **Auditing:** 9.7/10 (Category avg: 8.1/10) **Who Is the Company Behind K3?** - **Seller:** [BroadPeak](https://www.g2.com/sellers/broadpeak-de523c38-6f7b-4b9a-9f8b-157cd7d0d61a) - **Year Founded:** 2007 - **HQ Location:** New York, NY - **Twitter:** @BroadPeakInc (210 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/broadpeak-partners-inc/ (36 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 31% Enterprise ### 3. [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) Apache NiFi is an open-source data integration platform designed to automate the flow of information between systems. It enables users to design, manage, and monitor data flows through an intuitive, web-based interface, facilitating real-time data ingestion, transformation, and routing without extensive coding. Originally developed by the National Security Agency (NSA) as "NiagaraFiles," NiFi was released to the open-source community in 2014 and has since become a top-level project under the Apache Software Foundation. Key Features and Functionality: - Intuitive Graphical Interface: NiFi offers a drag-and-drop web interface that simplifies the creation and management of data flows, allowing users to configure processors and monitor data streams visually. - Real-Time Processing: Supports both streaming and batch data processing, enabling the handling of diverse data sources and formats in real-time. - Extensive Processor Library: Provides over 300 built-in processors for tasks such as data ingestion, transformation, routing, and delivery, facilitating integration with various systems and protocols. - Data Provenance Tracking: Maintains detailed lineage information for every piece of data, allowing users to track its origin, transformations, and routing decisions, which is essential for auditing and compliance. - Scalability and Clustering: Supports clustering for high availability and scalability, enabling distributed data processing across multiple nodes. - Security Features: Incorporates robust security measures, including SSL/TLS encryption, authentication, and fine-grained access control, ensuring secure data transmission and access. Primary Value and Problem Solving: Apache NiFi addresses the complexities of data flow automation by providing a user-friendly platform that reduces the need for custom coding, thereby accelerating development cycles. Its real-time processing capabilities and extensive processor library allow organizations to integrate disparate systems efficiently, ensuring seamless data movement and transformation. The comprehensive data provenance tracking enhances transparency and compliance, while its scalability and security features make it suitable for enterprise-level deployments. By simplifying data flow management, NiFi enables organizations to focus on deriving insights and value from their data rather than dealing with the intricacies of data integration. **Average Rating:** 4.2/5.0 **Total Reviews:** 26 **How Do G2 Users Rate Apache NiFi?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 9.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Apache NiFi?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Enterprise, 31% Mid-Market ### 4. [Adeptia](https://www.g2.com/products/adeptia/reviews) Adeptia is the Intelligent ETL platform that helps enterprises acquire, transform, validate, orchestrate, and operationalize data across systems, partners, documents, and AI agents. Organizations use Adeptia to automate customer onboarding, partner onboarding, supplier onboarding, EDI operations, compliance workflows, and operational data exchange. Unlike traditional ETL tools built for point-to-point integrations, Adeptia is purpose-built to handle real-world enterprise data from documents, partner ecosystems, business applications, and internal systems. Its AI-native platform combines intelligent automation, document intelligence, and deterministic execution to deliver trusted, auditable data pipelines. Backed by more than 25 years of enterprise automation experience in highly regulated industries, Adeptia combines Intelligent ETL, AI-native automation, and reusable industry accelerators to help organizations reduce operational complexity and scale with confidence. **Average Rating:** 4.2/5.0 **Total Reviews:** 18 **How Do G2 Users Rate Adeptia?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Automation:** 6.7/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Adeptia?** - **Seller:** [Adeptia](https://www.g2.com/sellers/adeptia) - **Company Website:** https://www.adeptia.com - **Year Founded:** 2000 - **HQ Location:** Jupiter, FL - **Twitter:** @adeptia (1,410 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/79129/ (209 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 57% Enterprise, 38% Mid-Market #### What Are Adeptia's Pros and Cons? **Pros:** - Cost Efficiency (1 reviews) - Customer Support (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Efficiency (1 reviews) **Cons:** - Error Messages (1 reviews) - Inaccuracy (1 reviews) - Mapping Issues (1 reviews) - Troubleshooting Difficulty (1 reviews) ### 5. [Improvado](https://www.g2.com/products/improvado-improvado/reviews) Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for medium to large enterprises and agencies, Improvado seamlessly integrates, simplifies, governs, and attributes complex data from various sources, delivering a unified view of marketing ROI and performance. If you're looking to quickly transform your diverse marketing data into clear, actionable insights, Improvado has you covered. **Average Rating:** 4.4/5.0 **Total Reviews:** 78 **How Do G2 Users Rate Improvado?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 7.5/10 (Category avg: 9.0/10) - **Scalability:** 7.6/10 (Category avg: 8.7/10) - **Auditing:** 7.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Improvado?** - **Seller:** [Improvado](https://www.g2.com/sellers/improvado-10b489f4-4eea-449a-884a-b3ff7a619ad0) - **Year Founded:** 2015 - **HQ Location:** San Diego, US - **Twitter:** @improvadoio (729 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/11037222/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Hospital & Health Care - **Company Size:** 49% Mid-Market, 36% Small-Business #### What Are Improvado's Pros and Cons? **Pros:** - Customer Support (3 reviews) - Helpful (3 reviews) - Customer Insights (2 reviews) - Ease of Implementation (2 reviews) - Easy Setup (2 reviews) **Cons:** - Learning Curve (2 reviews) - API Limitations (1 reviews) - Complexity (1 reviews) - Complex Setup (1 reviews) - Complex Usability (1 reviews) ### 6. [Data Loader](https://www.g2.com/products/data-loader/reviews) Data Loader is an easy and simple way to convert data between MySQL, MS SQL Server, Oracle, MS Access, FoxPro, Excel, CSV and Delimited Text Files. **Average Rating:** 4.3/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Data Loader?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 7.7/10 (Category avg: 9.0/10) - **Scalability:** 7.7/10 (Category avg: 8.7/10) - **Auditing:** 7.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Data Loader?** - **Seller:** [Dbload](https://www.g2.com/sellers/dbload) - **HQ Location:** N/A - **Twitter:** @dbload (2 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 47% Enterprise, 47% Mid-Market ### 7. [Cloudera](https://www.g2.com/products/cloudera/reviews) Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,452 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### 8. [BMC AMI DevX](https://www.g2.com/products/bmc-ami-devx/reviews) BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce. Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach. A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%. Key capabilities: - Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching - AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization - Automated unit, functional, integration, and performance testing with code coverage analysis - Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library - DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC **Average Rating:** 4.1/5.0 **Total Reviews:** 48 **How Do G2 Users Rate BMC AMI DevX?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) **Who Is the Company Behind BMC AMI DevX?** - **Seller:** [BMC Software](https://www.g2.com/sellers/bmc-software) - **Company Website:** https://www.bmc.com - **Year Founded:** 1980 - **HQ Location:** Houston, TX - **Twitter:** @BMCSoftware (47,967 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1597/ (8,877 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Enterprise, 27% Mid-Market #### What Are BMC AMI DevX's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Analytics (2 reviews) - Bug Detection (2 reviews) - Customer Support (2 reviews) - Machine Learning (2 reviews) **Cons:** - Complexity (2 reviews) - Limited Customization (2 reviews) - Compatibility Issues (1 reviews) - Complex Setup (1 reviews) - Configuration Issues (1 reviews) ### 9. [NinjaCat](https://www.g2.com/products/ninjacat/reviews) NinjaCat is the all-in-one performance data and AI agent platform built for enterprise marketing teams. We help agencies, media companies, and brands unify campaign data, automate reporting, and execute marketing workflows with intelligent agents. NinjaCat connects to 150+ marketing platforms, normalizes your data in a fully managed warehouse, and delivers real-time insights through dashboards and custom reports. And with our growing library of AI agents, teams can go from insight to action—faster than ever. No more data chaos. No more Frankenstack. Just marketing that moves. Key capabilities include: --150+ prebuilt marketing data connectors --Fully managed Data Cloud --ETL + semantic data modeling --Report templates & interactive dashboards --Budget and KPI monitoring --AI Agents for tasks like paid search, reporting, ad ops & more --Enterprise-grade security and scale **Average Rating:** 4.2/5.0 **Total Reviews:** 312 **How Do G2 Users Rate NinjaCat?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 5.8/10 (Category avg: 8.1/10) **Who Is the Company Behind NinjaCat?** - **Seller:** [NinjaCat](https://www.g2.com/sellers/ninjacat) - **Year Founded:** 2012 - **HQ Location:** New York, NY - **Twitter:** @NinjaCat_io (1,001 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/4973948/ (55 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Manager, Digital Marketing Specialist - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 55% Small-Business, 36% Mid-Market #### What Are NinjaCat's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Customer Support (2 reviews) - Easy Integrations (2 reviews) - Integrations (2 reviews) - Navigation Ease (2 reviews) **Cons:** - Application Instability (1 reviews) - Software Bugs (1 reviews) ### 10. [WhereScape RED](https://www.g2.com/products/wherescape-red/reviews) WhereScape RED is a comprehensive data warehouse automation tool designed for developers, focusing on automating development, deployment, and operations of data infrastructure. It streamlines the data warehousing process by automating code generation, documentation updates, and workflow management, and integrates with leading data platforms. The tool supports rapid prototyping, full ELT capabilities, and provides a complete lifecycle management solution, enhancing efficiency and reducing the need for manual coding. **Average Rating:** 3.9/5.0 **Total Reviews:** 35 **How Do G2 Users Rate WhereScape RED?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind WhereScape RED?** - **Seller:** [WhereScape Software](https://www.g2.com/sellers/wherescape-software) - **Year Founded:** 2001 - **HQ Location:** Houston, Texas - **Twitter:** @wherescape (2,816 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wherescape/about (44 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Hospital & Health Care - **Company Size:** 52% Enterprise, 38% Mid-Market #### What Are WhereScape RED's Pros and Cons? **Cons:** - Poor Documentation (1 reviews) ### 11. [Actian DataConnect](https://www.g2.com/products/actian-dataconnect/reviews) Actian DataConnect is a hybrid integration solution that enables users to integrate anything, anywhere, anytime. It can be deployed in on-premise, cloud, and/or hybrid environments and offers quick onboarding. With its emphasis data quality, data reuse, adaptability and self-service integration, DataConnect is designed to support rapid onboarding and deliver the fast time to value. **Average Rating:** 4.1/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Actian DataConnect?** - **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.1/10) **Who Is the Company Behind Actian DataConnect?** - **Seller:** [Actian Corporation](https://www.g2.com/sellers/actian-corporation) - **Year Founded:** 2005 - **HQ Location:** Palo Alto, CA - **Twitter:** @ActianCorp (2,861 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2340954/ (533 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Enterprise, 30% Mid-Market ### 12. [Altova MapForce](https://www.g2.com/products/altova-mapforce/reviews) Altova MapForce is an any-to-any data conversion and ETL tool for graphically defining and executing transformations for all popular data formats. Altova MapForce supports converting and transformation between any combination of XML, JSON, relational database, NoSQL database, EDI, text, Excel, XBRL, Google Protobuf, and Web services data. These powerful data mapping and integration tools convert your data instantly and provide multiple options to automate recurrent transformations. MapForce is a powerful, highly affordable data conversion and ETL tool for firms of all sizes. **Average Rating:** 4.5/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Altova MapForce?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Altova MapForce?** - **Seller:** [Altova](https://www.g2.com/sellers/altova) - **Year Founded:** 1992 - **HQ Location:** Beverly, MA - **Twitter:** @altova (567 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/altova (42 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 43% Enterprise, 39% Small-Business ### 13. [Prophecy](https://www.g2.com/products/prophecy-prophecy/reviews) Prophecy is the agentic data prep and analysis platform that introduces a new data lifecycle—generate, refine, deploy—where AI agents and data teams collaborate through visual, code, and document interfaces to accelerate work and deliver trusted pipelines to production. Leading enterprises rely on Prophecy to power their most demanding data workloads. - Generate a first draft in minutes: Prophecy’s AI agents, built on specialized Claude Code, are experts at generating workflows for your data, accelerating tasks like data transformation and automating others like documentation. - Refine with ease and speed: Our visual analytics workflows (or code, document formats) enable users to quickly understand the AI generated output, and to refine them to 100% complete. Deploy robustly: We provide robust deployment to production built on software best practices. The deployed workflows run at scale, with governance, on your cloud data platform. What are the key features of Prophecy? - Market Leading Data Agents: Specialized Claude Code based AI agents that understand your data and apply data specific skills to generate the best results. - Visual Inspect & Refine: AI generates results as visual data workflows, so business users can quickly inspect the logic, refine it to match their intent, and validate the final output. - Integrated Data Execution: You schedule and monitor workflows. Each reads/writes data using built-in high-performance connectors, and run transforms in Prophecy or your SQL or Spark platforms. - Complete Data Lifecycle: The visual workflows can be deployed to production as high-performance code that runs at scale with governance on Databricks, Snowflake or BigQuery that can be shared. Prophecy finds application across industries such as finance, healthcare, and retail, where data-driven decisions are crucial. Analysts become more productive, and business users now self-serve. Learn more at https://www.prophecy.ai/ **Average Rating:** 4.6/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Prophecy?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.8/10 (Category avg: 8.7/10) - **Auditing:** 8.6/10 (Category avg: 8.1/10) **Who Is the Company Behind Prophecy?** - **Seller:** [Prophecy](https://www.g2.com/sellers/prophecy) - **Year Founded:** 2017 - **HQ Location:** Palo Alto, CA - **Twitter:** @Prophecy_io (369 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/prophecy-io/ (183 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Data Engineer - **Top Industries:** Financial Services, Insurance - **Company Size:** 68% Enterprise, 19% Mid-Market #### What Are Prophecy's Pros and Cons? **Pros:** - Code Generation (11 reviews) - Customer Support (8 reviews) - Features (8 reviews) - Automation (7 reviews) - Easy Integrations (7 reviews) **Cons:** - Limited Features (4 reviews) - Query Issues (4 reviews) - Support Issues (4 reviews) - Limitations (3 reviews) - Limited Access (2 reviews) ### 14. [ExtendInsights](https://www.g2.com/products/extendinsights/reviews) Exporting and transforming data for reporting and analysis can be such a tedious and manual process. It’s time to ditch the old processes and empower Excel to facilitate the export, merge, blend, analysis, and enrichment of your data for the easiest and most accurate reporting you’ve experienced with the help of ExtendInsights. ExtendInsights is a direct integration app between Excel and popular business data sources such as NetSuite, Salesforce, HubSpot, Chargebee, and Stripe that exports and combines data to automate reporting workflows. Export data to Excel with a single click, then refresh spreadsheet data automatically or on demand for to-the-moment reports and dashboards. ExtendInsights extends the value of the applications you already have, while letting teams work where they want. Key features: Visualize data using dynamic pivot tables and charts Share easy-to-consume reports Leverage data source security to keep data secured CloudExtend empowers users to make faster, more insightful decisions by creating innovative, user-friendly applications that integrate workplace productivity tools with platforms they use every day to automatically add emails, events, and files to NetSuite from Gmail and Outlook, or use Excel and Power BI to improve reporting and analysis capabilities for popular data sources. Our integration apps eliminate hundreds of manual work hours, significantly reduce data import times, and facilitate a 360-degree view of customer activity. **Average Rating:** 4.6/5.0 **Total Reviews:** 28 **How Do G2 Users Rate ExtendInsights?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) **Who Is the Company Behind ExtendInsights?** - **Seller:** [CloudExtend by Celigo](https://www.g2.com/sellers/cloudextend-by-celigo) - **Company Website:** https://www.cloudextend.io/ - **Year Founded:** 2007 - **HQ Location:** Redwood City, US - **Twitter:** @cloudextendIO (253 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cloudextend/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 46% Small-Business #### What Are ExtendInsights's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Integrations (4 reviews) - Data Management (3 reviews) - Accuracy of Information (2 reviews) - Data Analysis (2 reviews) **Cons:** - Data Management (2 reviews) - Slow Data Loading (2 reviews) - Slow Loading (2 reviews) - Slow Processing (2 reviews) - Access Control (1 reviews) ### 15. [Lytics](https://www.g2.com/products/lytics/reviews) Lytics is a premier customer data platform for Google Cloud customers and 100% Google Cloud-native CDP. Lytics CDP offers a composable and modern architecture that fits with and accelerates your cloud data strategy. Integrated with existing cloud data warehouses, Lytics helps companies build a unified first-party data foundation, resolving identities to construct and maintain comprehensive profiles that are compliant, extensible, and accessible. Lytics connects to a robust ecosystem for third-party enrichment and activation using reverse ETL, generative AI, and the most comprehensive set of real-time connections into DSPs and action systems in the industry. Lytics unique approach enables brands to work without silos from a reliable source of truth, reimagining how they leverage their own customer data to increase customer engagement and boost ROI, empowering business users with the insights and tools they need to drive action while enabling compliance with global consumer data residency and privacy regulations. **Average Rating:** 3.9/5.0 **Total Reviews:** 67 **How Do G2 Users Rate Lytics?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Lytics?** - **Seller:** [Lytics](https://www.g2.com/sellers/lytics) - **Year Founded:** 2012 - **HQ Location:** Portland, OR - **Twitter:** @lytics (1,269 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2752977/ (23 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Publishing, Marketing and Advertising - **Company Size:** 57% Mid-Market, 27% Enterprise #### What Are Lytics's Pros and Cons? **Pros:** - Audience Activation (1 reviews) - Data Management (1 reviews) - Data Segmentation (1 reviews) - Flexibility (1 reviews) - Journey Creation (1 reviews) ### 16. [daasity](https://www.g2.com/products/daasity/reviews) Daasity enables omnichannel consumer brands to be data-driven. Built by analysts and engineers, the Daasity platform supports the varied data architecture, analytics, and reporting needs of consumer brands selling via eCommerce, Amazon, retail, and wholesale. Using Daasity, teams across the organization get a centralized and normalized view of all their data, regardless of the tools in their tech stack and how their future data needs may change. For more information about Daasity, our 60+ integrations, and how the platform drives more profitable growth for 1600+ brands, visit us at Daasity.com. **Average Rating:** 4.7/5.0 **Total Reviews:** 17 **How Do G2 Users Rate daasity?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind daasity?** - **Seller:** [daasity](https://www.g2.com/sellers/daasity) - **Year Founded:** 2017 - **HQ Location:** San Diego, US - **Twitter:** @Daasity (186 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/18214289 (37 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Goods - **Company Size:** 47% Small-Business, 47% Mid-Market #### What Are daasity's Pros and Cons? **Pros:** - Comprehensive (1 reviews) - Customer Support (1 reviews) - Data Visualization (1 reviews) - Documentation (1 reviews) - Ease of Use (1 reviews) **Cons:** - Dashboard Issues (1 reviews) - Dashboard Usability (1 reviews) - Data Management (1 reviews) - Data Management Issues (1 reviews) - Feature Issues (1 reviews) ### 17. [Y42](https://www.g2.com/products/y42-y42/reviews) Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analytics and AI applications. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions reliably and efficiently. **Average Rating:** 4.9/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Y42?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) **Who Is the Company Behind Y42?** - **Seller:** [Y42](https://www.g2.com/sellers/y42-f0288f79-5826-460d-ba84-59d0f8b2f3b3) - **Year Founded:** 2020 - **HQ Location:** Berlin, DE - **Twitter:** @y42dotcom (276 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64543299 (22 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 52% Small-Business, 38% Mid-Market ### 18. [CData Sync](https://www.g2.com/products/cdata-sync/reviews) Unlike volume-based tools with unpredictable pricing, CData Sync offers a single platform for ETL and reverse ETL, with full deployment flexibility and fixed, scalable pricing—so your costs don’t balloon as your data grows. Connect to 250+ enterprise data sources, including: • Salesforce, Microsoft Dynamics, and SAP • SharePoint, NetSuite, Workday, and QuickBooks • ServiceNow, Xero, Sage Intacct, HubSpot, Marketo, Oracle • …and many more Replicate that data into your preferred destinations, such as: • Snowflake, Databricks, SQL Server, Redshift, OneLake, and others Deploy it your way—on-premises, in your own cloud, or in a private-cloud SaaS model. Getting started is simple: 1. Log in 2. Select your source tables 3.Set your sync interval CData Sync handles the rest, using efficient incremental updates that minimize load on your operational systems. The platform includes: • Point-and-click ETL/ELT/reverse ETL • Change Data Capture (CDC) with no elevated database permissions • Complete data control and custom SQL transformations • dbt integration CData Sync centralizes your automated data flows, giving you full control, faster delivery, and the freedom to scale without hidden fees. Download a 30-day free trial of CData Sync or learn more at: www.cdata.com/sync **Average Rating:** 4.2/5.0 **Total Reviews:** 19 **How Do G2 Users Rate CData Sync?** - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 9.1/10) - **Automation:** 7.3/10 (Category avg: 9.0/10) - **Scalability:** 7.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind CData Sync?** - **Seller:** [CData](https://www.g2.com/sellers/cdata) - **Company Website:** https://cdata.com - **Year Founded:** 2014 - **HQ Location:** Chapel Hill, NC - **Twitter:** @cdatasoftware (2,000 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (500 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 45% Small-Business #### What Are CData Sync's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Integrations (3 reviews) - Data Integration (2 reviews) - Easy Integrations (2 reviews) - Features (2 reviews) **Cons:** - Expensive (2 reviews) - Pricing Issues (2 reviews) - Slow Performance (2 reviews) - Billing Issues (1 reviews) - Connection Issues (1 reviews) ### 19. [Datorios](https://www.g2.com/products/datorios/reviews) Rooted in the collective wisdom of the Apache Flink community and addressing the unique challenges faced by enterprises, Datorios is the first data observability platform for Apache Flink, empowering data engineers with the ability to supercharge real-time business innovation and make real-time data processing the organizational norm instead of the exception. Datorios provides never-before-seen insights into the streaming data that fuels streaming data applications and other realtime systems. Datarios reveals exactly how that data looks as it’s being transformed and processed within Apache Flink-based data pipelines, As a result, the development, troubleshooting, and auditing of real time AI applications becomes much easier. Datorios solves the very hard problem of helping Apache Flink developers see this data and all the different ways it can vary during each step of the Apache Flink program. Crucially important in order to speed up development and help engineers perfect the processing of real-time data. **Average Rating:** 4.4/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Datorios?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 9.6/10 (Category avg: 9.0/10) - **Scalability:** 9.6/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Datorios?** - **Seller:** [Datorios](https://www.g2.com/sellers/datorios) - **Year Founded:** 2020 - **HQ Location:** Palo Alto, California - **Twitter:** @datorios (37 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wedatorios/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 50% Small-Business ### 20. [Decodable](https://www.g2.com/products/decodable/reviews) Decodable radically simplifies real-time ETL with a powerful, easy-to-use real-time ETL platform. By removing the challenges of building and maintaining infrastructure and pipelines, Decodable enables data teams to eliminate overhead, easily connect sources, perform real-time transformations, and reliably deliver data to any destination. **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Decodable?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Decodable?** - **Seller:** [Decodable](https://www.g2.com/sellers/decodable) - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **Twitter:** @Decodableco (2,641 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/decodable/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 38% Mid-Market #### What Are Decodable's Pros and Cons? **Pros:** - Automation (2 reviews) - Ease of Use (2 reviews) - Easy Setup (2 reviews) - Features (2 reviews) - Implementation Ease (2 reviews) **Cons:** - Not User-Friendly (1 reviews) - Performance Issues (1 reviews) - Poor Customer Support (1 reviews) - Poor Performance (1 reviews) - Resource Intensive Learning (1 reviews) ### 21. [elastic.io](https://www.g2.com/products/elastic-io/reviews) elastic.io's microservices-based, cloud-native integration platform as-a-service (iPaaS) enables organizations to enhance integration capabilities across SaaS, on-premise, IoT and Mobile systems. With elastic.io iPaaS and its API-first approach, IT departments can foster digital transformation in their companies by connecting multiple cloud-based and on-premise applications, databases, systems and platforms easier and faster. elastic.io empowers organisations to enjoy the full potential of what the cloud has to offer and react faster to changing key business priorities. Check out our Blog at https://www.elastic.io/blog **Average Rating:** 4.5/5.0 **Total Reviews:** 14 **How Do G2 Users Rate elastic.io?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) **Who Is the Company Behind elastic.io?** - **Seller:** [elastic.io](https://www.g2.com/sellers/elastic-io) - **Year Founded:** 2012 - **HQ Location:** Bonn, NRW - **Twitter:** @elasticio (1,085 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/elastic-io-gmbh (16 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 40% Small-Business #### What Are elastic.io's Pros and Cons? **Pros:** - API Development (1 reviews) - API Integration (1 reviews) - Authentication (1 reviews) - Customer Support (1 reviews) - Customization (1 reviews) **Cons:** - Dependency Issues (1 reviews) - Frequent Updates (1 reviews) - Outdated Components (1 reviews) - Outdated Content (1 reviews) - Poor Documentation (1 reviews) ### 22. [Adriel](https://www.g2.com/products/adriel/reviews) Adriel is a comprehensive AdOps platform designed to assist marketers in managing their advertising operations through no-code reporting and creative intelligence solutions. This platform caters to the needs of brands and agencies seeking to enhance their advertising strategies by providing tools that facilitate real-time data visualization and customizable dashboards. By integrating various data sources, Adriel enables users to optimize their campaigns, maximize their budgets, and ultimately drive growth. Targeted primarily at marketing professionals and agencies, Adriel serves as a vital resource for those looking to streamline their advertising efforts. The platform is particularly beneficial for teams that require a user-friendly interface to generate insights without needing extensive technical expertise. With its no-code approach, users can easily create reports and dashboards tailored to their specific needs, making it an ideal solution for both small businesses and large enterprises. One of the standout features of Adriel is its AI-driven insights, which provide users with actionable data to inform their decision-making processes. This capability allows marketers to identify trends and opportunities within their campaigns, ensuring that they can respond swiftly to changing market conditions. Additionally, the platform offers customizable widgets that enable users to visualize their data in ways that are most relevant to their objectives, enhancing the overall analytical experience. Adriel also excels in its ability to seamlessly map and blend data from various sources, allowing for a comprehensive view of campaign performance. This feature is crucial for marketers who need to consolidate information from different platforms and channels to gain a holistic understanding of their advertising efforts. Furthermore, the proactive alerts system keeps users informed of significant changes or anomalies in their data, enabling them to take immediate action when necessary. In essence, Adriel stands out in the business intelligence and reporting landscape by offering a powerful yet accessible solution for marketers. With its focus on automation, scalability, and hands-on support, it provides a robust framework for businesses looking to enhance their reporting capabilities and drive successful advertising campaigns. By leveraging Adriel's advanced features, brands can ensure they remain competitive in an ever-evolving digital marketplace. **Average Rating:** 4.5/5.0 **Total Reviews:** 41 **How Do G2 Users Rate Adriel?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10) **Who Is the Company Behind Adriel?** - **Seller:** [Adriel](https://www.g2.com/sellers/adriel) - **Company Website:** https://www.adriel.com/en - **Year Founded:** 2017 - **HQ Location:** Austin, Texas - **Twitter:** @AdrielMarketing (343 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13746025 (59 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising - **Company Size:** 73% Small-Business, 10% Mid-Market #### What Are Adriel's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Reporting (13 reviews) - Customer Support (10 reviews) - Analytics (9 reviews) - Insights (9 reviews) **Cons:** - Missing Features (4 reviews) - Complex Setup (3 reviews) - Data Management (3 reviews) - Difficult Setup (3 reviews) - Learning Curve (3 reviews) ### 23. [Alloy Automation](https://www.g2.com/products/alloy-alloy-automation/reviews) The Agentic AI Infrastructure Platform for Product and Engineering Teams Alloy Automation helps product and engineering teams power real-world AI capabilities by connecting their agents and applications to hundreds of critical business systems through the Model Context Protocol (MCP) and Connectivity API (CAPI). Together, they form the foundation of Alloy’s agentic infrastructure — enabling secure, context-aware, and scalable access to data and actions across every part of your tech stack. Connectivity API (CAPI) provides unified, programmatic access to over 400 SaaS, fintech, commerce, and ERP systems. It standardizes integration complexity through a single, reliable API that handles OAuth, schema mapping, retries, versioning, and monitoring — so developers can move faster without reinventing the wheel. With CAPI, you can embed real-time data flows and bi-directional sync into your product or agent framework in days instead of months. The Model Context Protocol (MCP) Registry allows teams to create and host MCP servers that bridge AI agents with real-world systems. Each MCP server provides secure, remote-hosted access to tools and data sources with built-in permissioning, authentication, and contextual metadata. Agents can discover, interpret, and execute tasks across connected systems — from CRMs and ERPs to payment and fulfillment platforms — all through a standardized, agent-native interface. Alloy also includes real-time monitoring and observability, offering full visibility into execution logs, data flow reliability, and performance across integrations and agentic actions. Optional headless UI components make it easy to embed agent or integration experiences directly into your product for a seamless, branded experience. Leading SaaS and enterprise companies — including Typeform, Xero, Mastercard, and UPS — rely on Alloy to accelerate their integration roadmaps, reduce engineering overhead, and enable AI agents to take meaningful, real-world action. Whether you’re enabling an AI agent to automate customer onboarding, trigger payments, or reconcile data, Alloy helps you go live in weeks instead of quarters. **Average Rating:** 4.7/5.0 **Total Reviews:** 49 **How Do G2 Users Rate Alloy Automation?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 8.1/10 (Category avg: 8.7/10) - **Auditing:** 7.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Alloy Automation?** - **Seller:** [Alloy](https://www.g2.com/sellers/alloy-bf281c40-e363-4dcc-905e-10f2b5eb9c10) - **Company Website:** https://runalloy.com/ - **Year Founded:** 2019 - **HQ Location:** New York, NY - **LinkedIn® Page:** https://www.linkedin.com/company/alloy-automation/ (31 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Small-Business, 49% Mid-Market #### What Are Alloy Automation's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Customer Support (14 reviews) - Easy Integrations (13 reviews) - Integrations (11 reviews) - Time-saving (7 reviews) **Cons:** - Difficult Setup (3 reviews) - Learning Curve (3 reviews) - Missing Features (3 reviews) - Poor Integration (3 reviews) - UI Design Issues (3 reviews) ### 24. [Artie](https://www.g2.com/products/artie-data/reviews) Artie is pioneering a new category of data infrastructure: fully managed CDC streaming. From capturing changes to merges, backfills, and observability — Artie automates the entire data ingestion lifecycle. By eliminating brittle orchestration, manual backfill logic, and silent failures, Artie delivers production-grade infrastructure you can trust — with no maintenance required. With strong, flexible pipelines as their backbone, teams at Substack, Alloy, and Wasserman are able to ship faster, launch new data products, and scale confidently — without rebuilding infrastructure every time their strategy evolves. **Average Rating:** 5.0/5.0 **Total Reviews:** 23 **How Do G2 Users Rate Artie?** - **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 Artie?** - **Seller:** [Artie](https://www.g2.com/sellers/artie) - **Year Founded:** 2023 - **HQ Location:** San Francisco, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/artie-technologies (18 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 65% Mid-Market, 30% Small-Business #### What Are Artie's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Ease of Use (4 reviews) - Easy Setup (4 reviews) - Reliability (4 reviews) - Ease of Maintenance (3 reviews) **Cons:** - Difficult Setup (2 reviews) - API Issues (1 reviews) - API Limitations (1 reviews) - Complex Setup (1 reviews) - Data Limitations (1 reviews) ### 25. [Informatica Cloud Mass Ingestion](https://www.g2.com/products/informatica-cloud-mass-ingestion/reviews) Informatica Cloud Mass Ingestion is a cloud-native solution designed to facilitate the rapid and efficient ingestion and replication of enterprise data into cloud data warehouses, lakes, and messaging hubs. It supports various data ingestion methods, including batch processing, streaming, real-time, and change data capture (CDC, enabling organizations to handle vast amounts of data seamlessly. Key Features and Functionality: - Quick Task Creation: Utilizes a four-step, wizard-based interface to build data ingestion jobs in minutes, simplifying the setup process. - Simplified Data Ingestion: Offers a cloud-native solution with out-of-the-box connectivity, streamlining the ingestion and replication of data from diverse sources. - Flexible Scaling: Capable of ingesting terabytes of data using batch, streaming, or CDC methods, accommodating various data types and volumes. - Comprehensive Source Support: - Database and CDC Ingestion: Supports batch or CDC ingestion from relational databases such as Oracle, SQL Server, and MySQL. - Application Ingestion: Ingests data from applications like Salesforce, SAP ECC, and Dynamics 365. - Streaming Data Ingestion: Collects, filters, combines, and ingests data from streaming and IoT endpoints. - File Ingestion: Facilitates the transfer of files of any size with scalability and optimization. Primary Value and User Solutions: Informatica Cloud Mass Ingestion addresses the challenges of efficiently managing large-scale data ingestion by providing a unified, code-free platform that accelerates the process. It enables organizations to quickly ingest and replicate data from a variety of sources, ensuring that analytics and AI initiatives are fueled with timely and accurate data. By simplifying the ingestion process and offering flexible scaling options, it reduces operational costs and enhances the agility of data management strategies. **Average Rating:** 4.4/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Informatica Cloud Mass Ingestion?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 9.4/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Informatica Cloud Mass Ingestion?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,664 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 40% Enterprise ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [On-Premise Data Integration Software](https://www.g2.com/categories/on-premise-data-integration) - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) - [Data Replication Software](https://www.g2.com/categories/data-replication) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Reverse ETL Software](https://www.g2.com/categories/reverse-etl) --- ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026