# Best ETL Tools for Small Business - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business ETL Tools category. In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Small Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from a small business. ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 247 ### Category Stats (May 2026) - **Average Rating**: 4.55/5 (↑0.02 vs Apr 2026) - **New Reviews This Quarter**: 230 - **Buyer Segments**: Mid-Market 53% │ Small-Business 31% │ Enterprise 16% - **Top Trending Product**: Cloudera Data Platform (+0.155) *Last updated: May 18, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,100+ Authentic Reviews - 247+ 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. ## 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 (748 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Databricks Boosts Scalable Data Processing and Team Collaboration](https://www.g2.com/survey_responses/databricks-review-12834252)" | | 2 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,155 reviews) | Serverless analytics on large cloud datasets | "[Fast, Scalable Serverless Analytics and data mining with Google bigquery](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204)" | | 3 | [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)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (773 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 (134 reviews) | Geospatial and multi-format data transformation | "[Great visual tool for ETL of databases, but the UI may become clunky](https://www.g2.com/survey_responses/fme-platform-review-12826438)" | | 7 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (777 reviews) | Managed connector-based data ingestion | "[Effortless Data Integration with Wide Connectivity](https://www.g2.com/survey_responses/fivetran-review-12701875)" | | 8 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (727 reviews) | Low-code workflow automation across SaaS apps | "[Effortless Integration with workato Support](https://www.g2.com/survey_responses/workato-review-12805302)" | | 9 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (987 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 (319 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)" | ## Which Type of ETL Tools Tools Are You Looking For? - [ETL Tools](https://www.g2.com/categories/etl-tools) *(current)* - [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) --- **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%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&secure%5Btoken%5D=280ba2f91b909379c40c4c8baaf7e088e5d67540eee7f33f4b5281454bab58a7&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) --- ## Buyer Guide: Key Questions for Choosing ETL Tools Software ### What do ETL tools do? When I explain ETL tools, I frame them as systems that help businesses move and prepare data across applications, databases, files, APIs, and cloud platforms. These platforms bring extraction, transformation, mapping, syncing, and loading into one workflow, so teams can support reporting, automation, analytics, and operations with cleaner data. Instead of moving data manually or building every connection from scratch, teams can create more reliable data flows with less integration effort. ### Why do businesses use ETL tools? From the G2 reviewer patterns I evaluated, businesses use ETL tools because disconnected systems create repetitive work, data gaps, and slow reporting. Users often mention the need to connect ERP, CRM, e-commerce, warehouse, finance, and analytics environments without manual exports. Common benefits include: - Less manual data entry and fewer spreadsheet workarounds. - Faster data movement between applications and reporting tools. - More reliable syncs across operations, finance, sales, and customer systems. - Clearer automation for repeatable workflows. - Better support for analytics, dashboards, and decisions. ### Who uses ETL tools primarily? After I evaluated G2 reviewer roles and job context, I found that ETL tools serve technical and business-facing teams: - **Administrators** manage integrations, monitor flows, and keep systems aligned. - **Data and analytics teams** prepare datasets, pipelines, warehouses, and reports. - **IT teams** connect applications, APIs, and cloud platforms. - **Operations teams** reduce manual order, inventory, finance, and customer work. - **Consultants** build integrations for client environments. ### What types of ETL tools should I consider? From the review themes I evaluated, buyers should compare several tool types: - **Application integration platforms** for business app connections and workflow automation. - **Data pipeline and warehouse tools** for scale, transformation logic, and analytics readiness. - **Low-code integration tools** for faster setup and visual flow design. - **Developer-oriented platforms** for APIs, custom logic, and complex environments. - **Cloud data platforms** for processing, governance, and analytics use cases. - **Specialized connector tools** when common systems must sync quickly. ### What are the core features to look for in ETL tools? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Prebuilt connectors for common business systems that help reduce integration build time. - API support for custom integrations that help teams connect systems beyond native connector coverage. - Mapping and transformation controls that help teams clean, shape, and prepare data without relying on custom code for every change. - Workflow automation and scheduling that help pipelines run reliably on a repeatable cadence. - Monitoring, alerts, and error handling that help teams catch pipeline issues before they affect reporting, analytics, or downstream systems. - Clear setup and admin controls that help reduce dependency on specialized engineering resources. - Documentation and support resources that help teams onboard faster and troubleshoot integration issues. - Scalability for larger data volumes and complex pipeline architectures that help the platform support growing data needs over time. ### What trends are shaping ETL tools right now? Based on the reviewer sentiment I evaluated, several patterns stood out: - **Setup simplicity is advancing** without sacrificing depth or configurability. - **Low-code development** is shortening pipeline build times for non-engineering teams. - **Cloud-first architecture** is becoming the default as on-premise needs narrow to regulated use cases. - **AI-assisted workflow logic** is raising the bar for what teams expect from automation. - **Data quality and observability** are maturing into core pipeline requirements rather than afterthoughts. - **Cross-system integration coverage** is expanding as analytics, ERP, e-commerce, and finance ecosystems converge. ### How should I choose ETL tools? For me, the strongest ETL tools match your data sources, team depth, and maintenance needs. The G2 feedback I evaluated points to a clear decision path: prioritize connector fit, setup effort, transformation control, monitoring quality, support, and scale. If reviewers praise usability yet also cite learning curve, documentation, or pricing concerns, test onboarding and long-term administration before you commit. --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Data Fetcher](https://www.g2.com/products/data-fetcher/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 52 **Product Description:** Data Fetcher is an Airtable extension that lets you bring data from any API into your Airtable bases without writing code. It acts as a connector between Airtable and external data sources, helping you centralize information and automate updates. With Data Fetcher, you can connect Airtable to popular services like OpenAI, Google Analytics, Facebook Ads, and Stripe, or set up custom connections to any API. The tool handles the technical aspects of connecting, transforming, and scheduling data imports so you don't have to. Key Features: • Ready-made Connections: Easily connect to popular tools like ChatGPT, Google services, social media platforms, and payment systems with guided setup. • Custom API Access: Import data from any API by setting up simple request details - no coding required. • Automatic Updates: Schedule data imports to run regularly (as often as every 5 minutes) to keep information fresh without manual work. • Data Mapping: Format incoming data to fit your Airtable structure, with options to filter and organize information as it arrives. • Multi-step Workflows: Create sequences where data from one request feeds into another, building powerful data pipelines. • Smart Variables: Use existing information in your Airtable as inputs for your API requests. Why People Love It: • One Source of Truth: Keep all your important information in Airtable, updated from original sources. • Build Better Tools: Create more useful Airtable interfaces and dashboards with live data from your other tools. • Save Time: Stop copying and pasting data between systems and let Data Fetcher handle imports automatically. • Reduce Errors: Eliminate typos and mistakes that come with manual data entry. • Work Independently: Connect your systems to Airtable without waiting for developer help or paying for expensive integration platforms. ### What Do G2 Reviewers Say About Data Fetcher? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **incredible customer support** of Data Fetcher, finding it responsive and helpful for building their projects. - Users praise the **ease of use** of Data Fetcher, enabling non-coders to create data-driven solutions effortlessly. - Users value the **flexibility** of Data Fetcher, enhancing their experience and adaptability in various contexts. - Users love the **intuitive interface** of Data Fetcher, enabling effortless data management without coding skills. - Users love the **intuitive interface** of Data Fetcher, enabling effortless data management without coding skills. #### What Are Recent G2 Reviews of Data Fetcher? **"[API like a pro but easy](https://www.g2.com/survey_responses/data-fetcher-review-10343683)"** **Rating:** 5.0/5.0 stars *— Grant E.* [Read full review](https://www.g2.com/survey_responses/data-fetcher-review-10343683) --- **"[Highly flexible, numerous integrations, and great support!](https://www.g2.com/survey_responses/data-fetcher-review-11203404)"** **Rating:** 5.0/5.0 stars *— Paul T.* [Read full review](https://www.g2.com/survey_responses/data-fetcher-review-11203404) --- #### What Are G2 Users Discussing About Data Fetcher? - [What is Data Fetcher used for?](https://www.g2.com/discussions/what-is-data-fetcher-used-for) - 1 comment ### 2. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 560 **Product Description:** Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Operations Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Operations Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Operations Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Operations Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Operations Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Operations Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Operations Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Operations Hub: Operations Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Operations Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience. ### What Do G2 Reviewers Say About HubSpot Data Hub? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of HubSpot Data Hub, which simplifies navigation and enhances overall efficiency. - Users value the **automation capabilities** of HubSpot Data Hub, enhancing efficiency and reducing manual workload effectively. - Users value the **two-way data sync** in HubSpot Data Hub, enhancing efficiency and ensuring consistent information across teams. - Users value the **two-way data sync** of HubSpot Data Hub, enhancing team collaboration and operational efficiency. - Users value the **efficiency** of HubSpot Data Hub, streamlining data management and significantly reducing workflow complexity. **Cons:** - Users find the **data processing capabilities limited** , requiring more flexibility and clarity for effective external data use. - Users find the **missing features** in HubSpot Data Hub limiting, especially for managing unique and varied email contacts. - Users find the **learning curve steep** for HubSpot Data Hub, particularly challenging for newcomers to workflow automation. - Users find the pricing of HubSpot Data Hub to be **high for small teams** , limiting access to advanced features. - Users find the **reporting complexity** of HubSpot Data Hub frustrating, especially with limited Chatspot support and Salesforce integration. #### What Are Recent G2 Reviews of HubSpot Data Hub? **"[HubSpot Data Hub Keeps Customer Data Clean and Centralized](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)"** **Rating:** 4.0/5.0 stars *— Sagar K.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615) --- **"[HubSpot Data Hub simplifies and centralizes data with ease](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925)"** **Rating:** 5.0/5.0 stars *— Gabriel G.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925) --- #### What Are G2 Users Discussing About HubSpot Data Hub? - [What is HubSpot Operations Hub used for?](https://www.g2.com/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment ### 3. [Domo](https://www.g2.com/products/domo/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 987 **Why buyers love it?:** Domo’s feedback pointed me toward business-facing analytics teams that want data prep and visualization in the same environment. Reviewers highlight Magic ETL, easy setup, dashboard delivery, alerts, and a user interface that helps non-engineering users work with data. I saw its clearest fit where teams want self-service data flows that move quickly into operational dashboards. Pricing complexity, credit monitoring, SQL limitations, and occasional bugs also appear in the review patterns. ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Domo, making data management accessible for everyone, even non-tech-savvy individuals. - Users value the **flexible dashboards** in Domo, enabling seamless data visualization and integration from multiple sources. - Users praise Domo for its **intuitive design** , allowing easy access and effective data visualization for all skill levels. - Users value the **easy integrations** in Domo, enabling seamless connections with various data sources for streamlined management. - Users value the **seamless integration** of Domo, enabling efficient data management and real-time collaboration across platforms. **Cons:** - Users find the **learning curve steep** , often needing extra time to adapt to Domo's updates and functionalities. - Users note **missing features** in Domo, such as limited visualization capabilities and outdated MySQL implementation affecting usability. - Users are frustrated with **data management issues** , including complicated uploads and poor organization of datasets in Domo. - Users find Domo **expensive** due to ongoing costs and complexity of using multiple features and external support. - Users find Domo's **complexity** overwhelming, often requiring technical expertise and extended setup time to be effective. #### Key Features - Steps to Answer - Data Column Filtering - Data Visualization - Data Modeling - Connectors #### What Are Recent G2 Reviews of Domo? **"[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)"** **Rating:** 5.0/5.0 stars *— Anuj T.* [Read full review](https://www.g2.com/survey_responses/domo-review-12676104) --- **"[Comprehensive Analytics Tool with a Learning Curve](https://www.g2.com/survey_responses/domo-review-9326769)"** **Rating:** 5.0/5.0 stars *— John L.* [Read full review](https://www.g2.com/survey_responses/domo-review-9326769) --- #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) ### 4. [Dataslayer.ai](https://www.g2.com/products/dataslayer-ai/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 303 **Product Description:** Dataslayer.ai is a super easy-to-use marketing data automation tool that takes the hassle out of managing your data. It connects with all the major platforms like Google Analytics, Google Ads, Meta, LinkedIn, and more, so you can automate data extraction, reporting, and visualization without the headache. With Dataslayer.ai, you can pull data from multiple sources straight into Google Sheets, Looker Studio, BigQuery or your favorite BI tools. This saves you loads of time and cuts down on manual errors, helping you make better decisions, run stronger campaigns, and get valuable insights faster. Some standout features include automated reports, real-time data syncing, customizable dashboards, and powerful data filters. Whether you're a marketer, agency, or business, Dataslayer.ai helps you stay on top of your marketing analytics, boost efficiency, and get the results you're after. If you're ready to ditch the manual work and take your marketing data game to the next level, Dataslayer.ai has got you covered! ### What Do G2 Reviewers Say About Dataslayer.ai? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of use** of Dataslayer.ai exceptional, making integration and reporting a breeze. - Users love the **seamless integrations** of Dataslayer.ai, enabling quick and reliable data connections for their reports. - Users commend the **responsive customer support** at Dataslayer.ai, highlighting effective assistance and deep knowledge from team members like Daniela. - Users highlight the **reliable data integration** of Dataslayer.ai with Looker Studio, enhancing workflow and reporting efficiency. - Users appreciate the **intuitive dashboard and easy integration** of Dataslayer.ai, simplifying their marketing analytics significantly. **Cons:** - Users find the **missing features** in Dataslayer.ai limiting, especially regarding data blending and platform connections. - Users find the **limited API calls** on the free plan restrict automation for larger accounts and reporting needs. - Users find the **difficult learning** curve challenging initially, though navigation improves with familiarity over time. - Users find Dataslayer.ai to be **expensive** and wish for more affordable integration options without additional subscriptions. - Users find the **lack of information** for certain metrics, especially TikTok, complicates their initial experience with Dataslayer.ai. #### What Are Recent G2 Reviews of Dataslayer.ai? **"[Quick and Effective for Advertising Reports](https://www.g2.com/survey_responses/dataslayer-ai-review-12843220)"** **Rating:** 5.0/5.0 stars *— Anthony David H.* [Read full review](https://www.g2.com/survey_responses/dataslayer-ai-review-12843220) --- **"[Effortless Data Integration and Reporting](https://www.g2.com/survey_responses/dataslayer-ai-review-12376134)"** **Rating:** 5.0/5.0 stars *— Sapphire C.* [Read full review](https://www.g2.com/survey_responses/dataslayer-ai-review-12376134) --- #### What Are G2 Users Discussing About Dataslayer.ai? - [What is Dataslayer.ai used for?](https://www.g2.com/discussions/what-is-dataslayer-ai-used-for) ### 5. [DataBlend](https://www.g2.com/products/datablend/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 80 **Product Description:** DataBlend is an integration software solution, classified as an Integration Platform as a Service (iPaaS), specifically designed to enhance the operations of finance and accounting teams. This innovative tool enables users to streamline data integrations without the need for extensive coding knowledge, making it accessible for professionals in the finance sector. By providing a no-code and low-code user interface, DataBlend empowers CFOs, controllers, and their teams to automate and optimize the flow of data across various systems, ensuring that financial operations are both efficient and secure. Targeted primarily at finance and accounting professionals, DataBlend serves over 1,000 companies, helping them manage complex data integration tasks with ease. Its user-friendly interface allows teams to connect disparate systems such as ERP/GL, CRM, POS, HR/payroll, and financial reporting tools, facilitating seamless data exchange. This capability is particularly beneficial for organizations that rely on multiple software solutions to manage their financial data, as it eliminates the manual processes that can lead to errors and inefficiencies. Key features of DataBlend include its robust automation capabilities, which allow users to set up data workflows that run on a schedule or in real-time. This ensures that financial data is always up-to-date and readily available for analysis and reporting. Additionally, the platform offers built-in security measures to protect sensitive financial information during data transfers, providing peace of mind for users concerned about data integrity and compliance. DataBlend stands out in the iPaaS category due to its focus on the unique needs of finance and accounting teams. Unlike many generic integration solutions, DataBlend is tailored to address the specific challenges faced by these professionals, such as the need for accurate financial reporting and compliance with regulatory standards. By automating data integration processes, DataBlend not only saves time but also enhances the accuracy of financial data, allowing teams to make informed decisions based on reliable information. Overall, DataBlend is a powerful tool for finance and accounting teams looking to streamline their operations and improve data management. Its no-code, low-code approach, combined with its focus on security and automation, makes it an invaluable asset for organizations seeking to enhance their financial processes and drive efficiency across their technology stack. ### What Do G2 Reviewers Say About DataBlend? *AI-generated summary from verified user reviews* **Pros:** - Users commend DataBlend's **responsive and dependable customer support** that enhances their overall experience during critical finance periods. - Users find DataBlend to be **extremely easy to use** , appreciating its intuitive interface and straightforward implementation. - Users find **implementation straightforward** with DataBlend, enabling quick setups and minimizing IT dependencies for integrations. - Users value the **automation capabilities** of DataBlend, which streamline financial processes and minimize manual effort. - Users value the **time-saving automation** of DataBlend, significantly streamlining financial processes and workflows. **Cons:** - Users experience a notable **learning curve** with DataBlend, particularly in mastering complex integrations and workflows. - Users experience **poor customer support** , struggling with communication and unfulfilled promises on project deadlines from DataBlend. - Users experience a **steep learning curve** with DataBlend, especially for complex integrations and advanced customizations. - Users find the **complexity daunting** initially, though guided support helps ease the learning process. - Users find the **error reporting unclear** , requiring time and experience to understand the system effectively. #### What Are Recent G2 Reviews of DataBlend? **"[Seamlessly Streamlines Excel-to-Transaction Workflows](https://www.g2.com/survey_responses/datablend-review-12265963)"** **Rating:** 5.0/5.0 stars *— Joanne H.* [Read full review](https://www.g2.com/survey_responses/datablend-review-12265963) --- **"[A Reliable Solution for Budget and ERP Data Integration](https://www.g2.com/survey_responses/datablend-review-12394232)"** **Rating:** 5.0/5.0 stars *— Swati S.* [Read full review](https://www.g2.com/survey_responses/datablend-review-12394232) --- #### What Are G2 Users Discussing About DataBlend? - [What is DataBlend used for?](https://www.g2.com/discussions/what-is-datablend-used-for) ### 6. [dbt](https://www.g2.com/products/dbt/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 205 **Product Description:** dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. ### What Do G2 Reviewers Say About dbt? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of dbt, enjoying its user-friendly interface and seamless integration for data transformation. - Users value the **clean, structured approach** of dbt, enhancing collaboration and efficiency in data analytics workflows. - Users value dbt's **automation capabilities** , which enhance data reliability and streamline analytics workflows effectively. - Users value the **clean and organized transformation process** dbt offers, enhancing collaboration and ensuring reliable data accuracy. - Users appreciate the **seamless integrations** of dbt, enhancing their workflow and simplifying data transformations across platforms. **Cons:** - Users experience a **lack of flexibility** in dbt, causing frustrations with model errors and disrupting work efficiency. - Users experience **dependency issues** with dbt, causing confusion and delays when managing project complexities and errors. - Users note a **steep learning curve** with dbt, making initial setup and complex projects challenging to navigate. - Users find **error messages vague** , making it difficult to identify issues and hindering the debugging process. - Users find the **error messages vague** , making it difficult to diagnose issues and troubleshoot effectively. #### What Are Recent G2 Reviews of dbt? **"[dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features](https://www.g2.com/survey_responses/dbt-review-12712114)"** **Rating:** 5.0/5.0 stars *— Hithesh P.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12712114) --- **"[Effortless Data Transformations with dbt](https://www.g2.com/survey_responses/dbt-review-12737111)"** **Rating:** 5.0/5.0 stars *— Akash M.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12737111) --- #### What Are G2 Users Discussing About dbt? - [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments - [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments - [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment ### 7. [Adverity](https://www.g2.com/products/adverity/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 258 **Product Description:** Centralized Data Management for the Modern Marketer Adverity is the marketing intelligence platform that empowers agencies and enterprises to transform complex data into confident, AI-powered decisions. Through automated connectivity to 600+ data sources and destinations, unrivalled data transformation capabilities, powerful data governance, and built-in agentic and conversational AI for streamlined data access and insight activation, Adverity enables smarter, faster decision-making. Adverity is used by leading brands and agencies including Unilever, Bosch, IKEA, Barilla, Forbes, GroupM, Publicis, Dentsu, and more. ### What Do G2 Reviewers Say About Adverity? *AI-generated summary from verified user reviews* **Pros:** - Users find Adverity to be **easy to use** , appreciating its seamless integration and wide range of pre-built connectors. - Users appreciate the **centralization and standardization of data** , making management from multiple sources seamless and efficient. - Users value the **wide range of pre-built integrations** in Adverity, facilitating smooth connections to various data sources. - Users appreciate the **easy integrations** offered by Adverity, allowing seamless connection of various data sources without coding. - Users highlight the **responsive customer support** of Adverity, providing solutions and assistance promptly even during setup. **Cons:** - Users find the **time-consuming nature** of Adverity's data pipelines frustrating, especially during automated runs and job creation. - Users face challenges with **data management issues** that complicate tracking mistakes and necessitate higher maintenance efforts. - Users experience **a lack of information** due to unclear error messages and insufficient communication on ticket updates. - Users experience **time delays** in data pipelines, affecting reporting and confidence in scalability for large jobs. - Users find the **difficult learning** curve of Adverity challenging, impacting initial usability and feature confidence. #### What Are Recent G2 Reviews of Adverity? **"[Adverity’s Flexible Dashboards and Powerful Multi-Source Analytics](https://www.g2.com/survey_responses/adverity-review-12834123)"** **Rating:** 4.5/5.0 stars *— Franziska K.* [Read full review](https://www.g2.com/survey_responses/adverity-review-12834123) --- **"[Adverity Centralizes Marketing Data with Scalable, Automated Transformations](https://www.g2.com/survey_responses/adverity-review-12723134)"** **Rating:** 5.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/adverity-review-12723134) --- #### What Are G2 Users Discussing About Adverity? - [What is Adverity used for?](https://www.g2.com/discussions/what-is-adverity-used-for) - 1 comment ### 8. [klamp](https://www.g2.com/products/klamp/reviews) **Average Rating:** 5.0/5.0 **Total Reviews:** 25 **Product Description:** What is Klamp Embed? Klamp Embed is an embedded Integration Platform as a Service (iPaaS) designed specifically for SaaS companies who need to deliver customer-facing integrations without using engineering resources. Unlike traditional iPaaS solutions that require development expertise, Klamp Embed enables product and sales teams to independently deploy, manage, and customize integrations through a zero-code interface. Key Features: - Rapid Implementation: Launch your complete integration module in under 3 days with a simple embedding process via iFrame or Custom URL - Zero Engineering Resources: Designed specifically for non-technical product and sales teams to manage the entire integration lifecycle - Native User Experience: Fully customizable UI that matches your brand identity and feels like a native part of your product - 4-Hour Connector Delivery: Request new connectors and have them delivered within 4 hours, compared to months with traditional development - Extensive Integration Library: Instant access to 150+ pre-built SaaS connectors that cover most customer requirements - Complete Analytics: Monitor integration usage, performance metrics, API health, and user-level consumption Problems Solved: Klamp Embed addresses critical business challenges by: - Eliminating integration-related customer churn - Removing integrations from your engineering roadmap - Shortening sales cycles by removing integration blockers - Enabling sales teams to confidently promise any integration - Helping customer success teams meet integration SLAs Who Benefits from Klamp Embed? Product Teams: Remove integration requests from roadmap to focus on core product development Sales Teams: Close more deals by promising and delivering any integration within days Engineering Teams: Eliminate integration development and maintenance burden Customer Success Teams: Resolve integration queries quickly and keep customers satisfied SaaS Executives: Transform integration capabilities from a liability into a competitive advantage Klamp Embed costs $400 monthly subscription that includes 150,000 tasks per month. Additional connectors and task capacity are available as needed. ### What Do G2 Reviewers Say About klamp? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy integrations** of Klamp, enhancing workflow with quick setup and seamless platform connections. - Users commend Klamp's **integration capabilities** , enabling quick setups and seamless connections across various platforms effortlessly. - Users praise Klamp's **responsive and knowledgeable customer support** , enhancing the overall integration experience significantly. - Users praise the **easy and fast integrations** with Klamp, boosting workflow efficiency and seamless connectivity. - Users find **implementation ease** with Klamp exceptional, enabling quick integrations and efficient workflow enhancements effortlessly. **Cons:** - Users find the **complex onboarding** due to insufficient documentation, leading to time-consuming troubleshooting processes. - Users find **limited connectors** a drawback, wishing for more integrations with lesser-known CRMs and analytics tools. - Users find the **limited integrations** with other tools to be a drawback, despite custom connector options. - Users feel that the **poor documentation** of Klamp hinders onboarding and troubleshooting, making processes unnecessarily time-consuming. - Users find the **troubleshooting difficulty** with Klamp due to unclear documentation, making onboarding tedious. #### What Are Recent G2 Reviews of klamp? **"[Easy to integrate but very useful](https://www.g2.com/survey_responses/klamp-review-11428622)"** **Rating:** 5.0/5.0 stars *— Hiren P.* [Read full review](https://www.g2.com/survey_responses/klamp-review-11428622) --- **"[Hassle free integrations](https://www.g2.com/survey_responses/klamp-review-11433499)"** **Rating:** 5.0/5.0 stars *— Shilpa T.* [Read full review](https://www.g2.com/survey_responses/klamp-review-11433499) --- ### 9. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) **Average Rating:** 4.0/5.0 **Total Reviews:** 115 **Why buyers love it?:** IBM StreamSets stood out in the feedback for pipeline resilience when data structures change. Reviewers highlight visual pipeline design, real-time and batch support, connector coverage, operational visibility, and schema drift handling. I read the product as a fit for teams that need streaming or hybrid data pipelines that can adapt to changing source data. Cost, UI performance, debugging complexity, and limits around custom transformations also appear as review-backed considerations. ### What Do G2 Reviewers Say About IBM StreamSets? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** of IBM StreamSets, appreciating its intuitive interface and quick data pipeline creation. - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency. - Users appreciate the **effective data pipeline creation and monitoring** capabilities of IBM StreamSets across hybrid and multi-cloud environments. - Users appreciate the **simplicity and intuitiveness** of IBM StreamSets, making data integration workflows accessible to everyone. - Users appreciate the **seamless integrations** of IBM StreamSets, enhancing real-time data handling and efficiency across platforms. **Cons:** - Users struggle with a **steep learning curve** , requiring deep technical knowledge and often finding the interface cluttered. - Users find IBM StreamSets **expensive** for smaller teams, with performance issues and slow support complicating usability. - Users find that **learning difficulty** can hinder onboarding new engineers, especially with advanced features and unclear documentation. - Users report **slow performance** when processing large data volumes, impacting efficiency and usability for complex tasks. - Users struggle with the **steep learning curve** of IBM StreamSets, especially for advanced features and complex configurations. #### Key Features - Data Processing - Dasboard visualizations - Data Structuring - Reporting - Data Integration #### What Are Recent G2 Reviews of IBM StreamSets? **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) ### 10. [Mozart Data](https://www.g2.com/products/mozart-data-mozart-data/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 68 **Product Description:** Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources. Instead of piecing together multiple tools, companies get everything they need to spin up a data stack in an hour — ETL, a data warehouse, and a data transformation tool — and gain visibility into their data pipelines. Join other data-driven companies, like Zeplin, Rippling, Modern Treasury, and Tempo, that are already getting the most out of their data. Learn more at https://www.mozartdata.com #### What Are Recent G2 Reviews of Mozart Data? **"[All in one data platform](https://www.g2.com/survey_responses/mozart-data-review-9998715)"** **Rating:** 5.0/5.0 stars *— Jim D.* [Read full review](https://www.g2.com/survey_responses/mozart-data-review-9998715) --- **"[Easy to use one and done tool to streamline the data process.](https://www.g2.com/survey_responses/mozart-data-review-9144933)"** **Rating:** 5.0/5.0 stars *— Craig C.* [Read full review](https://www.g2.com/survey_responses/mozart-data-review-9144933) --- #### What Are G2 Users Discussing About Mozart Data? - [What is Mozart Data used for?](https://www.g2.com/discussions/what-is-mozart-data-used-for) ### 11. [Singular](https://www.g2.com/products/singular/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 500 **Product Description:** Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights. ### What Do G2 Reviewers Say About Singular? *AI-generated summary from verified user reviews* **Pros:** - Users praise Singular for its **exceptional customer support** , noting fast responses and effective problem resolution. - Users appreciate the **ease of use** of Singular, highlighting its clear dashboards and straightforward onboarding process. - Users find Singular's support **exceptionally helpful** , providing timely assistance and tailored solutions for various challenges. - Users appreciate the **flexibility and transparency** of Singular for efficient data analysis and decision-making. - Users appreciate the **clear and user-friendly reporting** in Singular, enhancing their campaign management experience. **Cons:** - Users experience **poor interface design** , finding some workflows and UI elements unintuitive and in need of improvement. - Users note the **poor UI** in Singular, requiring extra support and impacting overall user experience. - Users find it challenging to achieve **accurate reporting** with Singular due to attribution issues and dashboard limitations. - Users express concern over **data limitations** with Singular, impacting attribution accuracy and complicating performance analysis. - Users express concerns over **limited attribution capabilities** affecting conversion tracking accuracy and performance analysis for campaigns. #### What Are Recent G2 Reviews of Singular? **"[Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy](https://www.g2.com/survey_responses/singular-review-12624145)"** **Rating:** 4.5/5.0 stars *— Marko D.* [Read full review](https://www.g2.com/survey_responses/singular-review-12624145) --- **"[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)"** **Rating:** 4.5/5.0 stars *— Giedrius P.* [Read full review](https://www.g2.com/survey_responses/singular-review-5211366) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ### 12. [Peliqan](https://www.g2.com/products/peliqan/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 74 **Product Description:** Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 250+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build & Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions. ### What Do G2 Reviewers Say About Peliqan? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** with Peliqan, allowing seamless data connections and smooth workflows. - Users love the **seamless integration capabilities** of Peliqan, saving time with its extensive connector ecosystem and features. - Users value the **easy integrations** with over 200 connectors, streamlining data flow and enhancing workflow efficiency. - Users value the **instant access to over 200 connectors** in Peliqan, streamlining data workflows effortlessly. - Users value how Peliqan's **easy data integration** simplifies connecting sources and saves considerable development time. **Cons:** - Users find **learning difficulty** due to the requirement of SQL and Python knowledge for advanced features. - Users find that Peliqan requires **technical skills in Python and SQL** , which complicates initial setup and usability. - Users desire a **broader selection of templates** and improved features, as Peliqan lacks full BI capabilities. - Users face a **high initial learning curve** with Peliqan, requiring time and guidance for effective setup. - Users find the **steep learning curve** challenging, especially for those without a technical background. #### What Are Recent G2 Reviews of Peliqan? **"[Peliqan Delivers a Ready-to-Use Data Foundation for AI](https://www.g2.com/survey_responses/peliqan-review-12364935)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/peliqan-review-12364935) --- **"[Single MCP setup across our SaaS tools](https://www.g2.com/survey_responses/peliqan-review-12844362)"** **Rating:** 4.5/5.0 stars *— Gulshan K.* [Read full review](https://www.g2.com/survey_responses/peliqan-review-12844362) --- ### 13. [CloverDX](https://www.g2.com/products/cloverdx/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 72 **Why buyers love it?:** CloverDX stood out to me in the G2 reviews as a platform for structured ETL work that still allows technical control. Reviewers highlight visual job design, reusable components, automation, and flexibility for complex data flows. They also describe a learning curve around configuration, debugging, and more advanced pipeline logic. The product fits workflows where teams need governed, repeatable data movement across systems without giving up custom pipeline design. ### What Do G2 Reviewers Say About CloverDX? *AI-generated summary from verified user reviews* **Pros:** - Users find CloverDX to be a **user-friendly tool** , making data conversion and debugging a seamless experience. - Users value the **automation capabilities** of CloverDX, enhancing efficiency and minimizing manual errors in data operations. - Users highlight CloverDX's **simple and user-friendly interface** , making ETL pipeline creation easy for both beginners and experts. - Users highlight the **easy integrations** of CloverDX, enabling seamless connections to varied data sources effortlessly. - Users appreciate the **ease of use** of CloverDX, thanks to its intuitive GUI and minimal coding requirements. **Cons:** - Users find the **poor documentation** of CloverDX limits effective use and makes learning more challenging. - Users report **connection issues** with CloverDX, including slow performance and limited SFTP connectivity. - Users experience a **steep learning curve** with CloverDX, particularly for advanced concepts and the Transformation Language. - Users struggle with **unclear documentation** that hinders effective coding and understanding of CloverDX functionalities. - Users find CloverDX's **complex usability** challenging, making navigation and integration with AI tools less seamless. #### Key Features - Reporting - Extraction #### What Are Recent G2 Reviews of CloverDX? **"[Flexible Hybrid ETL with Powerful Visual Design and Predictable User-Based Pricing](https://www.g2.com/survey_responses/cloverdx-review-12487161)"** **Rating:** 4.0/5.0 stars *— Ajju B.* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-12487161) --- **"[Customizable Pipelines, Easy Setup with CloverDX](https://www.g2.com/survey_responses/cloverdx-review-10657839)"** **Rating:** 4.5/5.0 stars *— Pavlo T.* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-10657839) --- #### What Are G2 Users Discussing About CloverDX? - [How much does CloverDX cost?](https://www.g2.com/discussions/how-much-does-cloverdx-cost) - 1 comment - [Is CloverDX open source?](https://www.g2.com/discussions/is-cloverdx-open-source) - 1 comment - [How do you use CloverDX?](https://www.g2.com/discussions/how-do-you-use-cloverdx) ### 14. [Detrics](https://www.g2.com/products/detrics/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 68 **Product Description:** Detrics is an intuitive and the easiest to use data connector that eliminates the tedious work of reporting by eliminating all manual tasks in the process. By integrating seamlessly with major platforms including Google Ads, Facebook (Meta) Ads, Google Analytics 4, LinkedIn Ads, TikTok Ads, and many others, Detrics automates your data workflow extraction tasks. Detrics imports live data directly into your preferred data visualizations tools like Google Sheets and Looker Studio for users to build comprehensive dashboards. This streamlined approach dramatically reduces time spent on repetitive tasks, eliminates manual errors, and saves significant costs compared to expensive enterprise alternatives - all while offering a robust forever-free plan. Key standout features include automated reports that run on custom schedules, real-time data syncing through scheduled queries, advanced data filtering capabilities, and reusable query templates for consistent reporting. Detrics is perfectly suited for marketers, freelancers, and agencies who demand efficiency without compromising on data quality or insights. If you're ready to start automating, saving time, and taking your data analytics, marketing & ecommerce reports to the next level, Detrics has got you covered! ### What Do G2 Reviewers Say About Detrics? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **revolutionary ease of use** of Detrics, enabling quick integration and training for seamless operation. - Users value the **time-saving automation** of Detrics, freeing up over 5 hours weekly with effortless updates. - Users appreciate the **ease of integration** with their systems and the efficient customer support during implementation. - Users highlight the **easy integrations** with existing systems, enhancing their workflow and overall satisfaction with Detrics. - Users love how the **automation saves 5+ hours weekly** , streamlining processes and enhancing productivity remarkably. **Cons:** - Users face **integration issues** due to lack of support for critical tools, complicating their workflow significantly. - Users find the **limited integrations** frustrating, requiring manual imports and complicating workflow with essential tools. - Users face **compatibility issues** due to the lack of Salesforce integration, complicating data management tasks. - Users face **integration difficulties** with Detrics, requiring manual data imports for essential sales channels like Salesforce and Etsy. - Users desire **more advanced customization options** in Detrics dashboards to enhance their experience and functionality. #### What Are Recent G2 Reviews of Detrics? **"[Simple Integration and Detrics Economy](https://www.g2.com/survey_responses/detrics-review-11164513)"** **Rating:** 4.5/5.0 stars *— Joshua H.* [Read full review](https://www.g2.com/survey_responses/detrics-review-11164513) --- **"[Effortless Data Integration with Detrics](https://www.g2.com/survey_responses/detrics-review-12135948)"** **Rating:** 4.5/5.0 stars *— Tom N.* [Read full review](https://www.g2.com/survey_responses/detrics-review-12135948) --- ### 15. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 95 **Why buyers love it?:** Azure Data Factory came through in the feedback as a cloud data orchestration tool for Azure and connected sources. Reviewers highlight the visual pipeline designer, scheduling, monitoring, source connectors, and reliable movement between storage, databases, APIs, and SaaS systems. I read the strongest fit as Azure-based teams that need scheduled data ingestion and dependency-managed pipelines. Feedback also mentions limited debugging detail, pipeline sprawl, latency for real-time needs, and less advanced transformation depth than dedicated processing engines. ### What Do G2 Reviewers Say About Azure Data Factory? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data integration capabilities** of Azure Data Factory, streamlining complex workflows effortlessly. - Users appreciate the **ease of use** of Azure Data Factory, simplifying complex data integration and pipeline creation. - Users appreciate the **seamless connectivity** of Azure Data Factory, enabling easy integration of multiple data sources effortlessly. - Users value the **seamless integration** capabilities of Azure Data Factory, simplifying large-scale data orchestration and management. - Users value the **scalability** of Azure Data Factory, enabling effortless management of complex data workflows across various sources. **Cons:** - Users find the **debugging difficulty** in Azure Data Factory frustrating, especially with complex workflows and limited troubleshooting tools. - Users find **difficult debugging** in Azure Data Factory frustrating, especially with complex pipelines and limited troubleshooting tools. - Users find Azure Data Factory **expensive** to manage, especially when pipeline usage and data volumes increase costs significantly. - Users find **feature limitations** in Azure Data Factory, citing insufficient logging and complex transformation capabilities. - Users find the **complexity of Azure Data Factory** overwhelming, particularly when debugging pipelines and managing intricate workflows. #### Key Features - Reporting - Extraction #### What Are Recent G2 Reviews of Azure Data Factory? **"[Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users](https://www.g2.com/survey_responses/azure-data-factory-review-12746463)"** **Rating:** 4.5/5.0 stars *— Shyam s.* [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12746463) --- **"[Intuitive, Scalable Data Integration with Azure Data Factory](https://www.g2.com/survey_responses/azure-data-factory-review-12454264)"** **Rating:** 4.5/5.0 stars *— Alan R.* [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12454264) --- #### What Are G2 Users Discussing About Azure Data Factory? - [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) - 2 comments - [What are the additional capabilities of data Factory?](https://www.g2.com/discussions/what-are-the-additional-capabilities-of-data-factory) - [Which 3 types of activities can you run in Microsoft Azure data Factory?](https://www.g2.com/discussions/which-3-types-of-activities-can-you-run-in-microsoft-azure-data-factory) ### 16. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 370 **Why buyers love it?:** SnapLogic IIP read to me as a broad enterprise integration platform rather than a tool for isolated ETL tasks. Reviewers highlight visual pipeline design, reusable Snaps, large connector coverage, and the ability to connect multiple systems with less manual development. I found its strongest fit in organizations that need visual integration across varied enterprise applications and data flows. Debugging, complex pipeline management, and configuration depth also appear in the feedback as areas that require skill. ### What Do G2 Reviewers Say About SnapLogic Intelligent Integration Platform (IIP)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of SnapLogic IIP, enabling quick connections and straightforward setup for integrations. - Users value the **easy integrations** of SnapLogic, enhancing efficiency and simplifying API and database connections. - Users value the **seamless integration** capabilities of SnapLogic IIP, enhancing efficiency across multiple systems. - Users value the **user-friendly interface** of SnapLogic, which simplifies workflows and enhances overall productivity. - Users value the **automation capabilities** of SnapLogic IIP, enhancing efficiency and enabling focus on business value. **Cons:** - Users experience **performance issues** with SnapLogic, especially under heavy workloads and while debugging errors. - Users experience **poor performance** during heavy workloads, leading to inefficiencies and workflow complications in SnapLogic. - Users struggle with **technical difficulties** , particularly in debugging errors and managing performance under heavy workloads. - Users find the **complexity** of choosing appropriate Snaps and troubleshooting errors frustrating and often unclear. - Users face **unclear error reporting** that complicates debugging and leads to performance drops in large-scale operations. #### Key Features - Orchestration - API Monitoring - App Integration - Auditing - Extraction #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **"[Improved Data Connectivity with Room for Stability Enhancements](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834)"** **Rating:** 4.0/5.0 stars *— Savio M.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834) --- **"[Streamlined Integrations with AI-Powered Efficiency](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12380685)"** **Rating:** 5.0/5.0 stars *— Sanket N.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12380685) --- #### What Are G2 Users Discussing About SnapLogic Intelligent Integration Platform (IIP)? - [What is SnapLogic Intelligent Integration Platform (IIP) used for?](https://www.g2.com/discussions/what-is-snaplogic-intelligent-integration-platform-iip-used-for) - 1 comment ### 17. [Stitch](https://www.g2.com/products/stitch-2026-01-09/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 66 **Product Description:** Stitch Data Loader is a simple, powerful ETL service for businesses of all sizes, up to and including the enterprise. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch, Inc. is a division of Talend. #### What Are Recent G2 Reviews of Stitch? **"[Very Easy Intuitive UI](https://www.g2.com/survey_responses/stitch-review-7592907)"** **Rating:** 4.5/5.0 stars *— Megan S.* [Read full review](https://www.g2.com/survey_responses/stitch-review-7592907) --- **"[Reliable Extractions & Loads with many different integrations](https://www.g2.com/survey_responses/stitch-review-7514601)"** **Rating:** 4.5/5.0 stars *— Kristiyan D.* [Read full review](https://www.g2.com/survey_responses/stitch-review-7514601) --- #### What Are G2 Users Discussing About Stitch? - [Is stitch free?](https://www.g2.com/discussions/is-stitch-free) - [What is stitch database?](https://www.g2.com/discussions/what-is-stitch-database) - [What is stitch ETL?](https://www.g2.com/discussions/what-is-stitch-etl) ### 18. [Panoply](https://www.g2.com/products/panoply/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 80 **Product Description:** Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and coding: Key features of the Panoply platform include: -Code-free data integrations for seamless syncing -Automated data warehouse configuration -A powerful workbench for SQL-based data exploration and visualization - In-platform dashboards and reporting -Connections to all major BI and analytical tools -Industry-leading onboarding and support Learn more at https://www.panoply.io #### What Are Recent G2 Reviews of Panoply? **"[Effortless Data Integration, Swift Support](https://www.g2.com/survey_responses/panoply-review-12482020)"** **Rating:** 4.5/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/panoply-review-12482020) --- **"[Non-Developer User: Happy with the experience](https://www.g2.com/survey_responses/panoply-review-9036045)"** **Rating:** 4.5/5.0 stars *— Verified User in Veterinary* [Read full review](https://www.g2.com/survey_responses/panoply-review-9036045) --- #### What Are G2 Users Discussing About Panoply? - [What is Panoply used for?](https://www.g2.com/discussions/what-is-panoply-used-for) - [What does Panoply do?](https://www.g2.com/discussions/what-does-panoply-do) - 1 comment - [How much does panoply cost?](https://www.g2.com/discussions/how-much-does-panoply-cost) - 1 comment ### 19. [Supermetrics](https://www.g2.com/products/supermetrics/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 816 **Product Description:** Supermetrics is a marketing intelligence platform designed to help users connect, extract, and analyze data from a wide array of marketing and sales platforms. Founded in 2010 and headquartered in Helsinki, Finland, Supermetrics aims to simplify the process of data management for businesses, allowing them to focus on strategic growth and innovation rather than getting bogged down by complex data extraction processes. Targeted primarily at marketers, analysts, and business intelligence professionals, Supermetrics serves a diverse audience ranging from small startups to large enterprises. Its capabilities are particularly beneficial for organizations that rely on multiple data sources, such as Google Analytics, Facebook Ads, and HubSpot, enabling them to consolidate their data into preferred destinations like spreadsheets or data warehouses. This functionality is essential for teams that need to generate reports quickly and efficiently, ensuring that insights are readily available for informed decision-making. One of the key features of Supermetrics is its ability to connect with over 150 different marketing and sales platforms, allowing users to pull data seamlessly without the need for extensive technical knowledge. This integration capability not only saves time but also reduces the potential for errors that can occur during manual data entry. Users can automate their reporting processes, which enhances productivity and allows teams to allocate more resources towards analysis and strategy rather than data collection. Additionally, Supermetrics stands out in the realm of marketing analytics through its user-friendly interface and robust support resources. The platform offers a range of templates and pre-built reports that cater to various marketing needs, making it easier for users to visualize their data and derive actionable insights. The platform is trusted by over 200,000 organizations globally, including prominent brands like Nestlé, Warner Bros, and Dyson, which underscores its reliability and effectiveness in the marketing intelligence space. By providing a comprehensive solution for data extraction and analysis, Supermetrics empowers businesses to harness the full potential of their data. Its recognition as one of G2’s Top 50 Best EMEA Software Companies for 2024 further highlights its commitment to innovation and excellence in marketing analytics, positioning it as a vital tool for any organization looking to enhance its data-driven decision-making capabilities. ### What Do G2 Reviewers Say About Supermetrics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Supermetrics, enabling quick data access and meaningful reporting effortlessly. - Users value the **seamless integrations** of Supermetrics, enabling efficient data pulling from multiple sources effortlessly. - Users value the **quick and excellent customer support** from Supermetrics, enhancing their overall experience significantly. - Users praise the **easy integrations** of Supermetrics, streamlining connections to social platforms and enhancing workflow efficiency. - Users value the **time-saving automation** of Supermetrics, streamlining data pulls and enhancing workflow efficiency. **Cons:** - Users find the **pricing to be expensive** , with many wishing for more flexible subscription options to reduce costs. - Users face **missing features** like product feeds and filters, impacting their ability to fully utilize Supermetrics. - Users find **pricing issues** with Supermetrics, desiring more flexible options and bundled licenses for tools. - Users face **data limitations** with Supermetrics, particularly missing funnels, issues with product feeds, and KPI restrictions. - Users experience **data limitations** and connectivity issues, often feeling restricted in accessing desired KPIs with high costs. #### What Are Recent G2 Reviews of Supermetrics? **"[Efficient, Reliable Data Integration and Brilliant Reporting](https://www.g2.com/survey_responses/supermetrics-review-12588126)"** **Rating:** 4.5/5.0 stars *— Stefano P.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-12588126) --- **"[Makes My Data Studio Reports A Lot More Meaningful](https://www.g2.com/survey_responses/supermetrics-review-5397555)"** **Rating:** 5.0/5.0 stars *— Trevor I.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-5397555) --- #### What Are G2 Users Discussing About Supermetrics? - [What is Supermetrics used for?](https://www.g2.com/discussions/what-is-supermetrics-used-for) - 1 comment ### 20. [StarfishETL](https://www.g2.com/products/starfishetl/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 75 **Product Description:** StarfishETL for Integration: StarfishETL is an iPaaS (Integration-Platform-as-a-Service) that provides seamless data integration from one database to another - whether hosted, on-premises, or in the Cloud. Connect to more than 400 applications using drag-and-drop low code functionality; AI-enabled mapping, scripting, and SQL query writing; and secure connectivity through on-premises firewalls. StarfishETL for Migration: StarfishETL is loaded with pre-built capabilities, but it's not limited by them. You have the power to set up your project any way you desire to get the data results that fit your business. Add custom fields in our Cloud Cartographer, or use the on-premises tool for more advanced personalization. StarfishETL as an iPaaS: StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution, as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections. #### What Are Recent G2 Reviews of StarfishETL? **"[Upfront, Honest and Friendly](https://www.g2.com/survey_responses/starfishetl-review-9856115)"** **Rating:** 5.0/5.0 stars *— Kelly P.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-9856115) --- **"[StarfishETL was the one software capable of doing this](https://www.g2.com/survey_responses/starfishetl-review-7892321)"** **Rating:** 4.0/5.0 stars *— Charles C.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-7892321) --- #### What Are G2 Users Discussing About StarfishETL? - [What is StarfishETL used for?](https://www.g2.com/discussions/what-is-starfishetl-used-for) ### 21. [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 101 **Product Description:** Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs. ### What Do G2 Reviewers Say About Informatica Cloud Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Informatica Cloud Data Integration, benefiting from its user-friendly interface and drag-and-drop features. - Users value the **efficiency** of Informatica Cloud Data Integration, enjoying seamless data transfers and powerful transformations. - Users value the **robust connectivity** of Informatica Cloud Data Integration, simplifying ETL tasks with its extensive tools. - Users value the **time-saving features** of Informatica Cloud Data Integration, benefiting from easy access and efficiency. - Users enjoy the **automation features** of Informatica Cloud Data Integration, enhancing efficiency and streamlining data workflows. **Cons:** - Users find the **initial setup and configuration complex** , which complicates their experience, especially for newcomers. - Users find the **complex usability** of Informatica Cloud Data Integration challenging, especially during setup and troubleshooting processes. - Users find **debugging difficult** , facing challenges in monitoring jobs and optimizing performance effectively. - Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers to the platform. - Users often face **weird error messages** in Informatica Cloud Data Integration, which complicate their mapping work. #### What Are Recent G2 Reviews of Informatica Cloud Data Integration? **"[Reliable Cloud ETL for Scalable Data Integration](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993)"** **Rating:** 4.5/5.0 stars *— Akshat G.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993) --- **"[Simplifies Data Integration with Powerful Tools](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745)"** **Rating:** 4.0/5.0 stars *— Vallabh P.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745) --- #### What Are G2 Users Discussing About Informatica Cloud Data Integration? - [What is your experience regarding pricing and costs for Informatica Cloud Data Integration, and how does it compare to other ETL tools?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-informatica-cloud-data-integration-and-how-does-it-compare-to-other-etl-tools) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud-7e364663-ec1e-4fca-9c65-4b962f135858) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud) ### 22. [Keboola](https://www.g2.com/products/keboola/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 133 **Product Description:** Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for data workflows, automating everything from integration to insight. With Keboola, Engineering teams, digital natives, startup CTOs, and innovation leads alike can rapidly build and manage data products, applications, AI agents, and autonomous crews seamlessly—without sacrificing compliance or security. Built for Every Data Persona: Whether you’re a seasoned data engineer or a business analyst, Keboola is built to make you successful. Data engineers love the open extensibility – code in SQL, Python, R, or use our API/CLI to tailor any step. Analysts and non-coders love the self-service UI – point-and-click data pipeline assembly, drag-and-drop transformations with text to SQL on semantic layer, and one-click deployment of pre-built workflows. Collaboration is seamless, with shared workspaces and sandboxes that let teams build and share data products freely without affecting production. What sets us apart? With Keboola, you can build and manage data products, applications, AI agents, and autonomous crews seamlessly—without sacrificing compliance or security. 🔗 Unified Connectivity: Effortlessly connect to 700+ data sources (databases, SaaS apps, and APIs) .Real-time Streams, Change Data Capture or batch. 🤖 Agentic AI Orchestration: Keboola’s AI-driven engine orchestrates data pipelines and ML workflows automatically. It can trigger the next steps based on data events or quality checks, and dynamically allocate resources. Think of it as an autopilot for your data & AI, ensuring pipelines run optimally and recover on their own from hiccups. 🛡️ Built-in Governance & Security: Every dataset and process in Keboola is governed. Fine-grained access controls, lineage tracking, and audit logs are native to the platform. Compliance is simplified – SOC 2, GDPR, and industry standards are supported out-of-the-box. 🚀 Rapid Development & Prototyping: Innovate without constraints. Spin up isolated dev/test sandboxes in seconds to prototype new data products or AI models. 🌎 Multi-Cloud Scalability: Built on a cloud-native architecture, Keboola scales with your needs. Deploy on your preferred cloud (AWS, Azure, GCP) and let Keboola handle the heavy lifting – elastic compute, parallel processing, and workload optimization. Start small and scale to enterprise workloads globally, without re-architecting. 💡 End-to-End Insight Activation: Because Keboola unifies your data pipelines, analytics, and ML, you can go from raw data to AI-driven insights in record time. Why Keboola: Instead of cobbling together multiple tools for integration, ETL/ELT, data catalogs, automation, and AI, Keboola delivers a single platform that does it all – with unprecedented ease and intelligence. Our customers have replaced 5-10 disparate tools with Keboola’s unified solution, drastically accelerating delivery. Join 30,000+ companies and industry leaders who use Keboola to supercharge their data teams. Whether you need to deliver data to AI Agents, streamline a complex data estate, or build and share data products to business, Keboola’s AI orchestration platform adapts to your needs – freeing you to focus on innovation and business growth. ### What Do G2 Reviewers Say About Keboola? *AI-generated summary from verified user reviews* **Pros:** - Users love Keboola for its **clear interface and intuitive functionality** , making data management effortless and efficient. - Users admire the **variety of connectors** in Keboola, enabling seamless integration and efficient data management. - Users value Keboola's **user-friendly interface and extensive data connections** , simplifying the data management process significantly. - Users love the **seamless data integrations** in Keboola, enhancing workflow efficiency and flexibility for diverse data needs. - Users value the **responsive and helpful customer support** from Keboola, enhancing their overall experience with the platform. **Cons:** - Users find a steep **learning curve** with Keboola due to fragmented services and challenging setup processes. - Users find the **complexity of the interface** and data sorting to be confusing, especially with larger projects. - Users face a **steep learning curve** with Keboola, struggling with fragmented services and challenging documentation. - Users find **data type management complex** , seeking better error insights and enhanced data-flow monitoring features. - Users find the **interface challenging** , with messy data streams making usability and troubleshooting more difficult. #### What Are Recent G2 Reviews of Keboola? **"[Streamlines Data Prep with Some Learning Curves](https://www.g2.com/survey_responses/keboola-review-9741142)"** **Rating:** 5.0/5.0 stars *— Vojta F.* [Read full review](https://www.g2.com/survey_responses/keboola-review-9741142) --- **"[Effortless Data Management with Stellar Support](https://www.g2.com/survey_responses/keboola-review-11930748)"** **Rating:** 4.5/5.0 stars *— Pavel S.* [Read full review](https://www.g2.com/survey_responses/keboola-review-11930748) --- #### What Are G2 Users Discussing About Keboola? - [What are the benefits and challenges of using Keboola for data integration, and what do you recommend for new users?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-keboola-for-data-integration-and-what-do-you-recommend-for-new-users) ### 23. [Dataddo](https://www.g2.com/products/dataddo/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 182 **Product Description:** Dataddo is the enterprise data integration platform built to eliminate the operational ownership risk of data movement. Acting as the connective backbone of your organization, we provide a fully managed connective layer that moves data from any SaaS, database, or file source to any destination - including AI agents. Our platform automatically handles API changes, schema drift, and sensitive data protection, providing full, granular visibility into every data flow across complex environments, including on-premise, hybrid, and cloud infrastructures. By treating data movement as mission-critical infrastructure rather than a project, Dataddo enables your engineering teams to deploy with total reliability, allowing them to focus on high-value AI outcomes instead of ongoing pipeline maintenance. ### What Do G2 Reviewers Say About Dataddo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless connectivity** of Dataddo, enabling effortless data management from various sources with ease. - Users commend Dataddo for its **exceptional customer support** , highlighting the team's dedication, expertise, and prompt assistance. - Users value the **strong customization** options of Dataddo, allowing tailored data management to fit diverse business needs. - Users value the **flexibility and ease of use** that Dataddo offers for efficient data management across sources. - Users appreciate the **ease of use** of Dataddo, finding it simple to connect and manage data effortlessly. **Cons:** - Users find that some **advanced configurations lack intuitiveness** , suggesting the need for better guidance and documentation for onboarding. - Users find the **complex setup** of Dataddo challenging, wishing for better guidance to enhance the onboarding experience. - Users find the **learning curve steep** with advanced configurations, indicating a need for better guidance and documentation. - Users find **learning difficulty** due to less intuitive advanced configurations, wishing for better in-app guidance during onboarding. - Users find some **advanced configurations less intuitive** , wishing for better guidance to enhance the onboarding experience. #### What Are Recent G2 Reviews of Dataddo? **"[L2 support from DataDDO](https://www.g2.com/survey_responses/dataddo-review-10742502)"** **Rating:** 5.0/5.0 stars *— Alex E.* [Read full review](https://www.g2.com/survey_responses/dataddo-review-10742502) --- **"[Simple tool to stream data from AWS RDS to GCP BigQuery](https://www.g2.com/survey_responses/dataddo-review-10512581)"** **Rating:** 5.0/5.0 stars *— Dana B.* [Read full review](https://www.g2.com/survey_responses/dataddo-review-10512581) --- #### What Are G2 Users Discussing About Dataddo? - [What is Dataddo used for?](https://www.g2.com/discussions/what-is-dataddo-used-for) - 1 comment, 1 upvote ### 24. [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 151 **Product Description:** Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset. #### What Are Recent G2 Reviews of Alteryx Designer Cloud? **"[Great way to trick people into learning relational algebra](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)"** **Rating:** 4.5/5.0 stars *— Alexander D.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085) --- **"[The Inovation is comming](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)"** **Rating:** 4.0/5.0 stars *— Carlos Alexandre T.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148) --- #### What Are G2 Users Discussing About Alteryx Designer Cloud? - [What are data wrangling tools?](https://www.g2.com/discussions/what-are-data-wrangling-tools) - [Which of the following data sources does Trifacta Enterprise Support?](https://www.g2.com/discussions/which-of-the-following-data-sources-does-trifacta-enterprise-support) - [Is Trifacta an ETL tool?](https://www.g2.com/discussions/is-trifacta-an-etl-tool) - 1 comment ### 25. [Tray.ai](https://www.g2.com/products/tray-ai/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 153 **Product Description:** Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™ ### What Do G2 Reviewers Say About Tray.ai? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy integrations** of Tray.ai, enabling seamless connections between various systems like Shopify and LMS. - Users find the **ease of use** of Tray.ai exceptional, allowing seamless workflow creation and integration. - Users love the **seamless integrations** of Tray.ai, easily connecting various systems and enhancing workflow efficiency. - Users find **automation features** of Tray.ai invaluable, especially for customizing workflows and enhancing operational efficiency. - Users appreciate the **extensive connectors** offered by Tray.ai, enabling seamless integrations with various platforms and APIs. **Cons:** - Users find the **missing features** in Tray.ai, such as improved version control and data visibility, quite limiting. - Users find the **complex pricing structure** of Tray.ai challenging, especially for new users and planning purposes. - Users find Tray.ai's pricing to be **expensive** and complicated, making it challenging to budget effectively. - Users encounter a **steep learning curve** with Tray.ai, making it challenging to navigate its functionalities effectively. - Users find Tray.ai's **poor documentation** frustrating, hindering effective setup and use of integrations, and responsiveness issues exacerbate this. #### What Are Recent G2 Reviews of Tray.ai? **"[An Integration tool](https://www.g2.com/survey_responses/tray-ai-review-11278803)"** **Rating:** 5.0/5.0 stars *— Omji P.* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-11278803) --- **"[Easy-to-Identify Logs and Audit Trails](https://www.g2.com/survey_responses/tray-ai-review-12530158)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-12530158) --- #### What Are G2 Users Discussing About Tray.ai? - [What is Tray.io used for?](https://www.g2.com/discussions/what-is-tray-io-used-for) - 1 comment - [What does Tray.io do?](https://www.g2.com/discussions/what-does-tray-io-do) - [Who owns tray io?](https://www.g2.com/discussions/who-owns-tray-io) ## 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