# Best ETL Tools for Small Business - Page 3

## How Many ETL Tools Products Does G2 Track?

**Total Products under this Category:** 254

### Category Stats (Aug 2026)

- **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Adeptia (+0.97%) - Among all products in this category, Adeptia recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank ETL Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 19,300+ Authentic Reviews
- 254+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for ETL Tools
 ![G2 Grid® for ETL Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/etl-tools/grids.png?focus%5B%5D=23331&focus%5B%5D=10470&focus%5B%5D=989&focus%5B%5D=4136&focus%5B%5D=6073&focus%5B%5D=8076&focus%5B%5D=41374&focus%5B%5D=124681)

Highlighted products: Celigo, Databricks, Alteryx, Skyvia, Google Cloud BigQuery, FME Platform, Maia, and Coupler.io.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=celigo&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=skyvia&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fme-platform&focus%5B%5D=matillion-maia&focus%5B%5D=coupler-io&segment=small-business)

**Sponsored**

### Alteryx

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-08-02T08%3A44%3A51Z&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=989&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%2Fsmall-business%3Fpage%3D3&secure%5Btoken%5D=eb04b1f31064c08ef003bab2693183d4954b0be6dc5af28d512649de16c7fb84&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial)

### [CloverDX](https://www.g2.com/products/cloverdx/reviews)

CloverDX is the data integration platform that combines engineering-led pipelines, an AI Assistant, and self-service tools for business users. There's no managed SaaS here: you self-host CloverDX on your own terms, on-prem, in your own cloud, or hybrid, so your data and infrastructure stay under your control. CloverDX streamlines the entire ETL lifecycle, from ingestion and processing to delivery and consumption, enhancing productivity and fostering trust in data. The platform is used by organizations of all sizes, helping companies optimize and orchestrate their data workflows, reduce manual work and errors, and ensure compliance with data governance standards. Data engineers and technical users build and automate pipelines in a visual + code interface, backed by an AI Assistant that plans, builds, tests, and documents pipelines from a spec, sample data, or a natural-language prompt. Every step it generates stays visible and editable, so engineers stay in control while spending less time on boilerplate and more time on architecture and review. Business users get their own Wrangler Assistant, describing what they need in plain language and getting back transparent, editable transformation steps, so they can take on data quality, data prep, and master data management tasks without needing IT intervention. This frees up technical resources across the board. CloverDX supports a wide range of data sources and formats, enabling users to ingest data from various systems. Robust transformation capabilities allow users to clean, enrich, and manipulate data to meet specific business requirements, including using AI directly within pipelines to classify, extract, anonymize, or summarize data. Every AI capability runs on a bring your own key (BYOK) or bring your own model (BYOM) basis: connect your own account with Anthropic, OpenAI, Azure OpenAI, or Google, or run models entirely on your own infrastructure for data that never leaves your environment. There's no CloverDX-run AI service in the middle, so you stay in control of the provider, the cost, and what data gets shared. CloverDX also offers advanced automation features, including AI-assisted monitoring and diagnostics that flag issues before they become problems, minimizing manual intervention and reducing the risk of errors. CloverDX helps maintain data integrity and accountability throughout the data lifecycle, with full version control and audit trails. Users can track changes and access historical data versions, ensuring they can rely on the accuracy of data at all times. Governance always comes first: admins can set organization-wide guardrails on what data reaches an AI provider, or disable external AI sharing entirely for regulated environments. CloverDX is a versatile, flexible data integration solution that addresses the needs of both technical and non-technical users. By combining self-hosted deployment freedom, AI-powered productivity, robust processing capabilities, and a user-friendly interface, it empowers organizations to manage their data more effectively, ultimately leading to better insights, enhanced collaboration and alignment, and improved business outcomes.

**Average Rating:** 4.3/5.0

**Total Reviews:** 72

#### How Do G2 Users Rate CloverDX?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Automation:** 8.6/10 (Category avg: 9.0/10)
- **Scalability:** 8.3/10 (Category avg: 8.7/10)
- **Auditing:** 7.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind CloverDX?

- **Seller:** [CloverDX](https://www.g2.com/sellers/cloverdx)
- **Company Website:** www.cloverdx.com
- **Year Founded:** 2002
- **HQ Location:** Prague
- **Twitter:** @CloverDX  
1,237 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7e8668ecdfafd2834c5f3aa56297f959a82431fab1690c7395a4b2b040f807fc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloverdx%2F&secure%5Burl_type%5D=linkedin_company_website)  
55 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 40% Medium, 36% Large

#### What Do G2 Reviewers Say About CloverDX?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of CloverDX, finding it intuitive and visually appealing for data transformations.
- Users find **automation capabilities** in CloverDX invaluable, streamlining processes and minimizing errors effectively.
- Users appreciate the **simple and user-friendly interface** of CloverDX, making it easy to build ETL workflows efficiently.
- Users value the **easy integrations** with diverse data sources, enhancing workflow efficiency and ensuring smooth operations.
- Users commend CloverDX for its **user-friendly interface** that simplifies data transformation and integration processes.

##### Cons

- Users feel the **poor documentation** hinders code generation efficiency, calling for more examples and detailed guides.
- Users face **connection issues** with CloverDX, affecting data transfer and limited connectivity options.
- Users find the **steep learning curve** of CloverDX challenging, wishing for improved documentation and easier onboarding.
- Users find the **unclear documentation** challenging, wishing for better examples and detailed guidance for effective usage.
- Users note that CloverDX has **complex usability** , making navigation difficult and hindering overall user experience.

#### What Are Recent G2 Reviews of CloverDX?

**["Multiple projects using CloverDX."](https://www.g2.com/survey_responses/cloverdx-review-8387245)**

**Rating:** 5.0/5.0 stars

_— Verified User in Consulting_

[Read full review](https://www.g2.com/survey_responses/cloverdx-review-8387245)

**["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)

### [Adverity](https://www.g2.com/products/adverity/reviews)

Adverity is the marketing data intelligence company seen as the foundation that makes enterprise marketing AI work. Adverity Connect is an enterprise-grade marketing ETL. It pulls data from 600+ sources, harmonizes it so metrics are comparable across platforms, monitors it continuously for quality, and delivers it into the customer's warehouse. The data foundation for marketing. Adverity Atlas is a marketing knowledge layer. It sits on top of any data warehouse and gives AI the knowledge and context to work accurately on marketing data. Use it through the UI and it works as an autonomous marketing analyst. Connect it to your own AI program and it becomes the knowledge layer your agents run on. Connect builds the data foundation. Atlas is the knowledge layer that makes marketing AI work. Built from a decade of enterprise brand and agency deployments representing over $80 billion in managed ad spend.

**Average Rating:** 4.4/5.0

**Total Reviews:** 315

#### How Do G2 Users Rate Adverity?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Automation:** 9.1/10 (Category avg: 9.0/10)
- **Scalability:** 8.3/10 (Category avg: 8.7/10)
- **Auditing:** 7.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Adverity?

- **Seller:** [Adverity GmbH](https://www.g2.com/sellers/adverity-gmbh)
- **Company Website:** www.adverity.com
- **Year Founded:** 2015
- **HQ Location:** Vienna, Austria
- **Twitter:** @myadverity  
1,757 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83ea42bc82e1d6c5c8fea3613da1b8fc4201add0ab4d78cc1e73440d2786a17d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5340622%2F&secure%5Burl_type%5D=linkedin_company_website)  
312 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Engineer
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 43% Medium, 38% Small

#### What Do G2 Reviewers Say About Adverity?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **intuitive interface** of Adverity, appreciating its clarity and ease of use for daily operations.
- Users highlight the **seamless integrations** of Adverity with various marketing platforms, enhancing data management efficiency.
- Users value the **ease of integration and data management** in Adverity, streamlining workflows and connecting various sources effortlessly.
- Users value the **easy integrations** of Adverity, enabling seamless connectivity with various marketing platforms and data sources.
- Users praise the **clear and intuitive user interface** of Adverity, enhancing their overall experience in data management.

##### Cons

- Users report that Adverity can be quite **time-consuming** , especially with slow data pipeline processing and job creation delays.
- Users experience a **complex setup** requiring technical knowledge, leading to challenges with integrations and custom reporting.
- Users find **data management challenging** due to a complicated interface and limitations in API setups and visualizations.
- Users find the **difficult learning** curve in Adverity frustrating, especially with setup and advanced feature integrations.
- Users note the **limited customization** in Adverity, requiring exports to other tools for deeper analysis and tailored reporting.

#### 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)

**["Simplifies Data Integration with Robust Source Options"](https://www.g2.com/survey_responses/adverity-review-13089580)**

**Rating:** 4.0/5.0 stars

_— Ramin T._

[Read full review](https://www.g2.com/survey_responses/adverity-review-13089580)

#### What Are G2 Users Discussing About Adverity?

- [What is Adverity used for?](https://www.g2.com/discussions/what-is-adverity-used-for) - 1 comment

### [Data Fetcher](https://www.g2.com/products/data-fetcher/reviews)

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.

**Average Rating:** 4.9/5.0

**Total Reviews:** 52

#### How Do G2 Users Rate Data Fetcher?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10)
- **Automation:** 9.6/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 9.2/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Data Fetcher?

- **Seller:** [Data Fetcher](https://www.g2.com/sellers/data-fetcher)
- **HQ Location:** London, England
- **Twitter:** @data\_fetcher  
1,015 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=046b948f273223408fce7a7eec36abc41452b0614adb2333135558c6f620f10a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatafetcher%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 87% Small, 12% Medium

#### What Do G2 Reviewers Say About Data Fetcher?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **incredible customer support** of Data Fetcher, emphasizing its ease of use and flexibility.
- Users value the **ease of use** , enjoying flexibility and excellent service from Data Fetcher.
- Users appreciate the **flexibility** of Data Fetcher, enhancing their experience with its ease of use and exceptional service.
- Users find the **interface very intuitive** , enabling them to build data-driven projects easily without coding skills.
- Users find the **intuitive interface** of Data Fetcher helpful for building data-oriented projects 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

### [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.

**Average Rating:** 4.6/5.0

**Total Reviews:** 95

#### How Do G2 Users Rate Azure Data Factory?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 9.2/10 (Category avg: 9.0/10)
- **Scalability:** 9.1/10 (Category avg: 8.7/10)
- **Auditing:** 8.4/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Azure Data Factory?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 60% Large, 30% Medium

#### What Do G2 Reviewers Say About Azure Data Factory?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows and enhancing productivity.
- Users value the **ease of use** of Azure Data Factory, simplifying data integration with its low-code visual interface.
- Users appreciate the **seamless connectivity** of Azure Data Factory for integrating diverse data sources with minimal coding.
- Users value the **seamless integration capabilities** of Azure Data Factory, simplifying complex data workflows across various sources.
- Users value the **scalability** of Azure Data Factory, enabling them to effortlessly manage and integrate vast data sources.

##### Cons

- Users find the **debugging difficulty** in Azure Data Factory frustrating, particularly for complex pipelines and troubleshooting failures.
- Users find **difficult debugging** with Azure Data Factory, often facing challenges in troubleshooting complex pipelines effectively.
- Users find Azure Data Factory to be **expensive** due to unpredictable costs linked to pipeline executions and data movements.
- Users find the **feature limitations** of Azure Data Factory hinder their ability to efficiently monitor and integrate with Power BI.
- Users find Azure Data Factory's **complexity and limitations** challenging, particularly with debugging and managing intricate workflows.

#### What Are Recent G2 Reviews of Azure Data Factory?

**["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)

**["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)

#### 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)
- [What does Azure data/factory do?](https://www.g2.com/discussions/what-does-azure-data-factory-do)

### [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

**Average Rating:** 4.0/5.0

**Total Reviews:** 114

#### How Do G2 Users Rate IBM StreamSets?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Automation:** 7.7/10 (Category avg: 9.0/10)
- **Scalability:** 7.5/10 (Category avg: 8.7/10)
- **Auditing:** 7.2/10 (Category avg: 8.1/10)

#### Who Is the Company Behind IBM StreamSets?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Large, 34% Medium

#### What Do G2 Reviewers Say About IBM StreamSets?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features.
- Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency.
- Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments.
- Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient.
- Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity.

##### Cons

- Users experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively.
- Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets.
- Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported.
- Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines.
- Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations.

#### What Are Recent G2 Reviews of IBM StreamSets?

**["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)

**["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)

#### 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)
- [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free)
- [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment

### [DataBlend](https://www.g2.com/products/datablend/reviews)

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.

**Average Rating:** 4.7/5.0

**Total Reviews:** 87

#### How Do G2 Users Rate DataBlend?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Automation:** 9.7/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.2/10 (Category avg: 8.1/10)

#### Who Is the Company Behind DataBlend?

- **Seller:** [eOne Solutions](https://www.g2.com/sellers/eone-solutions)
- **Company Website:** www.eonesolutions.com
- **Year Founded:** 2001
- **HQ Location:** Fargo, ND
- **Twitter:** @eOneSolutions  
1,190 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d32d55a899012c910653f7587f7ac8194867a7ae5c88f71ba205c00735e6f95a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Feone-solutions&secure%5Burl_type%5D=linkedin_company_website)  
68 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Non-Profit Organization Management, Accounting
- **Company Size:** 66% Medium, 20% Small

#### What Do G2 Reviewers Say About DataBlend?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **customer support incredibly responsive** , always ready to assist and ensure smooth implementation.
- Users love the **ease of use** of DataBlend, finding it intuitive and a significant time saver.
- Users commend the **implementation ease** of DataBlend, highlighting seamless integration and intuitive interfaces for quick setup.
- Users love the **automation capabilities** of DataBlend, significantly reducing manual tasks and enhancing financial data efficiency.
- Users find DataBlend to be a **significant time-saver** , automating tedious processes and streamlining financial data management.

##### Cons

- Users face a **steep learning curve** with DataBlend, particularly in complex integrations and mapping structures.
- Users express frustration over **poor customer support** , highlighting inconsistent communication and unmet delivery promises from DataBlend.
- Users face a **steep learning curve** with DataBlend, particularly for complex integrations and workflow configurations.
- Users find the **complexity** of DataBlend overwhelming initially, though guidance helps ease the learning curve.
- Users find the **error reporting confusing** , initially struggling to understand meanings before it improves with experience.

#### What Are Recent G2 Reviews of DataBlend?

**["Flexible, Affordable Custom Workflows with DataBlend"](https://www.g2.com/survey_responses/datablend-review-13110902)**

**Rating:** 5.0/5.0 stars

_— Mikail S._

[Read full review](https://www.g2.com/survey_responses/datablend-review-13110902)

**["DataBlend Automates Invoicing Seamlessly and Saves Us Hours Every Week"](https://www.g2.com/survey_responses/datablend-review-13105073)**

**Rating:** 5.0/5.0 stars

_— Hailey M._

[Read full review](https://www.g2.com/survey_responses/datablend-review-13105073)

#### What Are G2 Users Discussing About DataBlend?

- [What is DataBlend used for?](https://www.g2.com/discussions/what-is-datablend-used-for)

### [Stitch](https://www.g2.com/products/stitch-2026-01-09/reviews)

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.

**Average Rating:** 4.4/5.0

**Total Reviews:** 66

#### How Do G2 Users Rate Stitch?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 9.0/10)
- **Scalability:** 8.6/10 (Category avg: 8.7/10)
- **Auditing:** 0.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Stitch?

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik  
64,130 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd147c14c7daf80e08bf113d2cae24ca3693e49a87c147350c31e8b0961c7297&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10162%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,551 employees on LinkedIn®
- **Phone:** 1 (888) 994-9854

#### Who Uses This Product?

- **Who Uses This:** Data Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Small, 43% Medium

#### 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)
- [What is Stitch software?](https://www.g2.com/discussions/what-is-stitch-software)

### [Mozart Data](https://www.g2.com/products/mozart-data-mozart-data/reviews)

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

**Average Rating:** 4.6/5.0

**Total Reviews:** 68

#### How Do G2 Users Rate Mozart Data?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Automation:** 9.3/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Mozart Data?

- **Seller:** [Mozart Data](https://www.g2.com/sellers/mozart-data)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **Twitter:** @MozartData  
447 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=93a959b85a25dc7a4eb20cc10bfe8e470098bef694ee6a76cbe9e5d8c30b628d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmozartdata%2F&secure%5Burl_type%5D=linkedin_company_website)  
16 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 53% Small, 47% Medium

#### What Are Recent G2 Reviews of Mozart Data?

**["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)

**["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)

#### 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)

### [Peliqan](https://www.g2.com/products/peliqan/reviews)

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 300+ 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.

**Average Rating:** 4.8/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate Peliqan?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Automation:** 9.2/10 (Category avg: 9.0/10)
- **Scalability:** 9.2/10 (Category avg: 8.7/10)
- **Auditing:** 8.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Peliqan?

- **Seller:** [Peliqan](https://www.g2.com/sellers/peliqan)
- **Company Website:** peliqan.io
- **Year Founded:** 2022
- **HQ Location:** Gent
- **Twitter:** @Peliqan\_io  
9 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ac685f03389350962bf33f4ac2f76b8cf7ed9b7db0a578cb8af2dae9592d04e1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpeliqan-data&secure%5Burl_type%5D=linkedin_company_website)  
29 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 45% Small, 43% Medium

#### What Do G2 Reviewers Say About Peliqan?

_AI-generated summary from verified user reviews_

##### Pros

- Users highly value the **ease of use** of Peliqan, enabling effortless integration and smooth data management processes.
- Users value the **effortless integration** capabilities of Peliqan, enhancing automation and real-time data access without complexity.
- Users appreciate the **easy integrations** of Peliqan, which streamline workflows and enhance overall productivity.
- Users benefit from **200+ pre-built connectors** , streamlining client onboarding and creating efficient data transformations across platforms.
- Users value the **easy data replication and integration** features of Peliqan, enhancing their overall data management experience.

##### Cons

- Users find the **learning difficulty** of Peliqan challenging, especially requiring technical skills for effective use.
- Users find Peliqan to be **non-tech friendly** , requiring technical skills for data transformations and report distribution.
- Users face **feature limitations** in Peliqan, needing custom connectors and additional tools for comprehensive BI capabilities.
- Users find that the **learning curve** for Peliqan is steep, requiring expertise for effective setup and usage.
- Users find a **steep learning curve** , especially for non-tech individuals needing assistance to get started.

#### What Are Recent G2 Reviews of Peliqan?

**["Repetable agent setup per client."](https://www.g2.com/survey_responses/peliqan-review-13112554)**

**Rating:** 5.0/5.0 stars

_— Priya Ranjan K._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13112554)

**["Python data apps replaced our scripts"](https://www.g2.com/survey_responses/peliqan-review-13077269)**

**Rating:** 5.0/5.0 stars

_— Shailesh Kumar Y._

[Read full review](https://www.g2.com/survey_responses/peliqan-review-13077269)

### [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)

The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise.

**Average Rating:** 4.4/5.0

**Total Reviews:** 375

#### How Do G2 Users Rate SnapLogic Intelligent Integration Platform (IIP)?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.6/10 (Category avg: 9.0/10)
- **Scalability:** 8.4/10 (Category avg: 8.7/10)
- **Auditing:** 8.1/10 (Category avg: 8.1/10)

#### Who Is the Company Behind SnapLogic Intelligent Integration Platform (IIP)?

- **Seller:** [SnapLogic](https://www.g2.com/sellers/snaplogic)
- **Company Website:** www.snaplogic.com
- **Year Founded:** 2006
- **HQ Location:** San Mateo, CA
- **Twitter:** @SnapLogic  
7,348 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5261a75f1a744444604a852bca79d92e4b9b8336bca6cd31b6688370561a9346&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F210766%2F&secure%5Burl_type%5D=linkedin_company_website)  
307 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Large, 36% Medium

#### 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, allowing quick integration and straightforward pipeline setup.
- Users appreciate the **easy integrations** of SnapLogic, benefiting from a user-friendly interface and various connectors.
- Users appreciate the **seamless integration** capabilities of SnapLogic IIP, enabling efficient connections across diverse systems.
- Users enjoy the **user-friendly interface** of SnapLogic, simplifying tasks and enhancing overall productivity.
- Users love the **simplicity of automation** in SnapLogic IIP, enabling faster development and efficient integration processes.

##### Cons

- Users report **performance issues** with SnapLogic, especially under heavy workloads and in load balancing functionality.
- Users experience **poor performance** under heavy workloads, leading to frustration with debugging and complex integrations.
- Users struggle with **technical difficulties** , including debugging challenges and performance drops during heavy workloads.
- Users find the **complexity of understanding Snaps** and tracing errors to be quite challenging in SnapLogic IIP.
- Users report **poor error reporting** and lack of clarity in debugging, complicating the troubleshooting process.

#### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)?

**["Super fast integrations—saves tons of coding headache!"](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310)**

**Rating:** 5.0/5.0 stars

_— Pavan Simhadri D._

[Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310)

**["Fast and Flexible Integrations Powered by Pre-Built Snaps, Visual Workflows, and Great Support"](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13181168)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13181168)

#### 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

### [Singular](https://www.g2.com/products/singular/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 518

#### How Do G2 Users Rate Singular?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 9.0/10)
- **Scalability:** 8.9/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Singular?

- **Seller:** [Singular](https://www.g2.com/sellers/singular)
- **Company Website:** www.singular.net
- **Year Founded:** 2014
- **HQ Location:** Palo Alto, California
- **Twitter:** @TweetSingular  
1,316 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0847141c79afc034c2203bfbfdb76877ac8c9bb6d16fbb1283fca2a504f4262b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3739623%2F&secure%5Burl_type%5D=linkedin_company_website)  
361 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** User Acquisition Manager, Marketing Manager
- **Top Industries:** Computer Games, Financial Services
- **Company Size:** 52% Medium, 27% Small

#### What Do G2 Reviewers Say About Singular?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **exceptional customer support** of Singular, noting quick responses and effective problem-solving.
- Users find Singular to be **easy to implement and user-friendly** , enhancing their campaign management experience significantly.
- Users find Singular's **support and customer service invaluable** , providing timely assistance and tailored solutions effectively.
- Users appreciate the **flexibility and customization** of Singular, enhancing their data analysis and decision-making processes.
- Users value the **clear and user-friendly reporting** capabilities of Singular, enhancing campaign management and support.

##### Cons

- Users note the **poor interface design** of Singular, finding some workflows and UI elements unintuitive and cumbersome.
- Users find the **UI lacking** , as it requires additional support and flexibility for a smoother experience.
- Users note the **limited sharing options** and struggle with accuracy in conversions, impacting trust in performance data.
- Users note **data limitations** like incomplete conversions and delayed reporting, impacting campaign optimization and trust in results.
- Users experience **limited attribution capabilities** with Singular, resulting in gaps and inaccuracies in performance analysis for campaigns.

#### What Are Recent G2 Reviews of Singular?

**["Great Platform Backed by an Outstanding Team"](https://www.g2.com/survey_responses/singular-review-13176647)**

**Rating:** 5.0/5.0 stars

_— Santiago D._

[Read full review](https://www.g2.com/survey_responses/singular-review-13176647)

**["Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy"](https://www.g2.com/survey_responses/singular-review-12624145)**

**Rating:** 5.0/5.0 stars

_— Marko D._

[Read full review](https://www.g2.com/survey_responses/singular-review-12624145)

#### What Are G2 Users Discussing About Singular?

- [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for)

### [Detrics](https://www.g2.com/products/detrics/reviews)

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!

**Average Rating:** 4.9/5.0

**Total Reviews:** 68

#### How Do G2 Users Rate Detrics?

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10)
- **Automation:** 10.0/10 (Category avg: 9.0/10)
- **Scalability:** 10.0/10 (Category avg: 8.7/10)
- **Auditing:** 7.5/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Detrics?

- **Seller:** [Detrics](https://www.g2.com/sellers/detrics)
- **Year Founded:** 2022
- **HQ Location:** Buenos Aires, AR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=af59465f99e9fdfc783a82194edb6e98bb8df47d04ff5716a56fc704c5354138&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdetrics-io&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 67% Small, 25% Medium

#### What Do G2 Reviewers Say About Detrics?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **ease of use** of Detrics, facilitating quick setup and widespread adoption across departments.
- Users benefit from **time-saving automation** in Detrics, drastically reducing weekly hours spent on reporting and data management.
- Users highlight the **ease of use and integration** of Detrics, making it a revolutionary tool for daily operations.
- Users commend the **easy integrations** of Detrics, allowing quick connections and seamless adoption across departments.
- Users value the **time-saving automation** of Detrics, dramatically reducing their weekly data management hours.

##### Cons

- Users report **integration issues** with local systems, requiring manual data entry and causing service interruptions.
- Users are frustrated by **limited integrations** , resulting in time-consuming manual data imports for essential sales channels.
- Users face **compatibility issues** due to lack of Salesforce integration, requiring manual data imports and limited native integrations.
- Users face **integration difficulties** as Detrics lacks support for vital platforms, leading to manual data imports.
- Users desire more **advanced customization options** in Detrics dashboards to enhance their analytics experience.

#### 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)

### [klamp](https://www.g2.com/products/klamp/reviews)

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.

**Average Rating:** 5.0/5.0

**Total Reviews:** 25

#### How Do G2 Users Rate klamp?

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10)

#### Who Is the Company Behind klamp?

- **Seller:** [Klamp Inc](https://www.g2.com/sellers/klamp-inc)
- **Year Founded:** 2022
- **HQ Location:** Wellmington, Delaware
- **Twitter:** @getklamped  
27 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=534dfa16f54ea6c6536aa0d2cb49a3883334f79785b403e32919b3f59ba52e75&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fklampio&secure%5Burl_type%5D=linkedin_company_website)  
18 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 48% Small, 40% Medium

#### What Do G2 Reviewers Say About klamp?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of klamp, enabling effortless workflow creation with its intuitive no-code interface.
- Users value the **easy integrations** of klamp, allowing quick workflow creation and excellent support for seamless management.
- Users value the **quick integrations** from Klamp, enabling rapid workflow creation and effective user education.
- Users praise the **excellent and responsive customer support** of klamp, quickly resolving integration queries and issues.
- Users value the **quick and efficient integration capabilities** of klamp, enhancing their experience and operational efficiency.

##### Cons

- Users note a **lack of integrations** , though Klamp's rapid custom API setup helps mitigate this issue.
- Users note the **limited availability of connectors** but appreciate the quick setup for new application APIs.
- Users wish for **limited integrations** with more pre-built connectors to enhance compatibility with various tools.
- Users feel the **limited apps** available hinder integration choices, despite fast connector delivery being appreciated.
- Users note the **limited features** of klamp, hoping for enhancements as the product develops in the future.

#### What Are Recent G2 Reviews of klamp?

**["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)

**["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)

### [Keboola](https://www.g2.com/products/keboola/reviews)

Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance.

**Average Rating:** 4.6/5.0

**Total Reviews:** 138

#### How Do G2 Users Rate Keboola?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Automation:** 9.1/10 (Category avg: 9.0/10)
- **Scalability:** 8.5/10 (Category avg: 8.7/10)
- **Auditing:** 7.1/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Keboola?

- **Seller:** [Keboola](https://www.g2.com/sellers/keboola)
- **Year Founded:** 2008
- **HQ Location:** Prague
- **Twitter:** @keboola  
2,004 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef5c258c3c12e985009d017bdcea8d30cdde56e2d89dcd2f873f739b37335044&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkeboola%2F&secure%5Burl_type%5D=linkedin_company_website)  
97 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Engineer
- **Top Industries:** Information Technology and Services, Marketing and Advertising
- **Company Size:** 63% Medium, 22% Small

#### What Do G2 Reviewers Say About Keboola?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Keboola's platform to be **simple and easy to use** , making data management accessible for everyone.
- Users value the **user-friendly data management** capabilities of Keboola, enhancing accessibility for non-technical individuals.
- Users praise the **intuitive setup for data flows** in Keboola, enhancing productivity with seamless data handling.
- Users value the **extensive integrations** of Keboola, enabling seamless data management across various platforms and tools.
- Users praise Keboola for its **incredible customer support** , providing fast and helpful assistance to enhance their experience.

##### Cons

- Users find the **learning curve steep** , often requiring developer assistance and causing confusion with component navigation.
- Users struggle with the **complexity** of Keboola, facing steep learning curves and inconsistent documentation that hinders usability.
- Users face a **steep learning curve** with Keboola, often needing external help to navigate its complexities effectively.
- Users find the **interface difficult to navigate** , making data management more complex and error-prone than expected.
- Users find the **user interface overwhelming** and not intuitive, resulting in a challenging learning experience for newcomers.

#### What Are Recent G2 Reviews of Keboola?

**["Usefull tool with good people behind it"](https://www.g2.com/survey_responses/keboola-review-13121874)**

**Rating:** 4.5/5.0 stars

_— Verified User in Wholesale_

[Read full review](https://www.g2.com/survey_responses/keboola-review-13121874)

**["Keboola’s Intuitive UI Makes Big-Data Pipelines and Transformations Effortless"](https://www.g2.com/survey_responses/keboola-review-13168406)**

**Rating:** 4.5/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/keboola-review-13168406)

#### 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)

### [Supermetrics](https://www.g2.com/products/supermetrics/reviews)

Supermetrics helps marketers go AI-first - from insight to action. Founded in 2013 and headquartered in Helsinki, Finland, Supermetrics unifies the marketing workflow, connecting the full breadth of marketing and advertising data sources through to AI-powered analysis and activation, so businesses spend less time wrangling data and more time on strategic growth. Built for marketers, analysts, and BI professionals, Supermetrics serves organizations from small startups to large enterprises that rely on multiple data sources such as Google Analytics, Facebook Ads, HubSpot and Shopify - consolidating everything into the destination of their choice - spreadsheets, data warehouses, or AI assistants via native MCP support. Teams can connect and automate their marketing and advertising reporting without deep technical expertise, cutting the manual work and errors that come with pulling data by hand, and freeing up time for analysis and strategy instead of data collection. Supermetrics pairs a user-friendly interface with a library of templates and pre-built reports, making it fast to visualize data and get to an answer. The platform is trusted by 200,000+ organizations globally, including L’Oréal, BBC, and Heineken, across 120 countries. Supermetrics serves organizations of every size, from small and mid-sized businesses that need enterprise-grade reporting without enterprise overhead, to global brands such as Nestlé, Warner Bros, and Dyson, to agencies managing dozens of client accounts. The platform is SOC 2 Type II and ISO 27001 certified, GDPR and CCPA compliant, and backed by 24/5 global support. Its recognition as one of G2’s Top 50 Best EMEA Software Companies reflects an ongoing investment in innovation for data-driven marketing teams looking to move from manual reporting to AI-powered decisions.

**Average Rating:** 4.4/5.0

**Total Reviews:** 816

#### How Do G2 Users Rate Supermetrics?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Automation:** 8.5/10 (Category avg: 9.0/10)
- **Scalability:** 8.6/10 (Category avg: 8.7/10)
- **Auditing:** 8.1/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Supermetrics?

- **Seller:** [Supermetrics](https://www.g2.com/sellers/supermetrics)
- **Company Website:** www.supermetrics.com
- **Year Founded:** 2013
- **HQ Location:** Helsinki, Uusimaa
- **Twitter:** @Supermetrics  
7,832 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2146912a8bb70fc80ae05334650c24a1dc2aab366115e312fed24ca5896c0612&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3335913%2F&secure%5Burl_type%5D=linkedin_company_website)  
492 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Digital Marketing Manager, CEO
- **Top Industries:** Marketing and Advertising, Retail
- **Company Size:** 55% Small, 35% Medium

#### What Do G2 Reviewers Say About Supermetrics?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Supermetrics to be **easy to use** , efficiently consolidating complex marketing data from various platforms.
- Users appreciate the **robust integrations** of Supermetrics, seamlessly connecting diverse data sources for efficient reporting.
- Users appreciate the **quick and excellent customer support** from Supermetrics, enhancing their overall experience and efficiency.
- Users praise the **easy integrations** of Supermetrics, streamlining connections across platforms for enhanced workflow efficiency.
- Users commend Supermetrics for its **time-saving automation** , which streamlines data extraction and reporting efficiently.

##### Cons

- Users find Supermetrics **expensive** , wishing for more flexible pricing options for the features they use.
- Users face **missing features** in Supermetrics, specifically regarding product feeds and filtering capabilities in Looker Studio.
- Users find the **pricing issues** with Supermetrics challenging, desiring more flexible subscription options for better value.
- Users note **data limitations** in Supermetrics, especially with missing GA4 funnel events and issues with product feeds.
- Users feel restricted by **data limitations** and find support inadequate when facing source connection issues.

#### 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

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Similar Categories

- [Big Data Integration Platforms](/categories/big-data-integration-platforms)
- [Cloud Migration](/categories/cloud-migration)
- [Embedded Integration Platforms](/categories/embedded-integration-platforms)

- [Enterprise Service Bus (ESB)](/categories/enterprise-service-bus-esb)
- [iPaaS](/categories/ipaas)
- [Reverse ETL](/categories/reverse-etl)

- [Stream Analytics](/categories/stream-analytics)

[Browse ETL Tools Themes](/categories/etl-tools/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated 

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.

Show More

* * *

## 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