# Best ETL Tools for Medium-Sized Businesses - Page 2

## 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=10470&focus%5B%5D=23331&focus%5B%5D=6073&focus%5B%5D=23920&focus%5B%5D=1308796&focus%5B%5D=604&focus%5B%5D=2975&focus%5B%5D=8076)

Highlighted products: Databricks, Celigo, Google Cloud BigQuery, Fivetran, IBM watsonx.data, Domo, SnapLogic Intelligent Integration Platform (IIP), and FME Platform.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=celigo&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fivetran&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=domo&focus%5B%5D=snaplogic-intelligent-integration-platform-iip&focus%5B%5D=fme-platform&segment=mid-market)

**Sponsored**

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TestGorilla is a skills-based software platform helping organizations find and hire the right people - faster, fairer, and without the bias of CVs. The platform supports recruiters with 350+ science-backed assessments, 100+ AI interviews, resume scoring, ID verification and role simulations. As of December 2025, TestGorilla has also been working with companies to help them identify and hire AI-fluent talent and develop scientifically-backed tests and interviews to identify role-specific AI fluency.

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### [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews)

Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies.

**Average Rating:** 4.7/5.0

**Total Reviews:** 120

#### How Do G2 Users Rate Boomi Data Integration?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10)
- **Automation:** 9.5/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.8/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Boomi Data Integration?

- **Seller:** [Boomi](https://www.g2.com/sellers/boomi)
- **Year Founded:** 2000
- **HQ Location:** Conshohocken, PA
- **Twitter:** @boomi  
101,014 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=48e58db8d91e1da54d6b476d5f5c5a2d98aab91fa1d98184cfcc08cb78bcfd9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fboomi-inc%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,024 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Medium, 36% Small

#### What Do G2 Reviewers Say About Boomi Data Integration?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **user-friendly interface** of Boomi Data Integration, making it easy to learn and implement.
- Users commend the **excellent customer support** of Boomi Data Integration, enhancing their implementation and overall experience.
- Users value the **wide range of connectors** in Boomi Data Integration, simplifying data connection and reporting across platforms.
- Users value the **automation capabilities** of Boomi Data Integration, significantly enhancing their ETL processes and workflow efficiency.
- Users appreciate the **ease of implementation** with Boomi Data Integration, highlighting user-friendliness and excellent support during setup.

##### Cons

- Users face **data limitations** with Boomi Data Integration, often lacking necessary fields and documentation when connecting to sources.
- Users often face **information deficiency** due to missing documentation and unavailable fields, complicating their data integration efforts.
- Users experience **insufficient information** when connecting to data sources, leading to challenges in accessing necessary fields.
- Users find Boomi Data Integration **lacking features** , often facing missing documentation and unavailable report fields during data connections.
- Users find the **limited features** of Boomi Data Integration frustrating, as necessary fields in reports may be unavailable.

#### What Are Recent G2 Reviews of Boomi Data Integration?

**["Actual review of ELT Tool Rivery"](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408)**

**Rating:** 5.0/5.0 stars

_— Amit K._

[Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408)

**["Boomi Data Integration: Fast, Reliable Integrations at Scale"](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768)**

**Rating:** 5.0/5.0 stars

_— Takkellapati S._

[Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768)

#### What Are G2 Users Discussing About Boomi Data Integration?

- [What advice do you have for others considering Rivery for data integration and pipeline management?](https://www.g2.com/discussions/what-advice-do-you-have-for-others-considering-rivery-for-data-integration-and-pipeline-management)
- [What is the use of Rivery?](https://www.g2.com/discussions/what-is-the-use-of-rivery) - 2 comments
- [How much does Rivery cost?](https://www.g2.com/discussions/how-much-does-rivery-cost) - 1 comment
- [What does Rivery do?](https://www.g2.com/discussions/what-does-rivery-do) - 1 comment

### [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

### [Skyvia](https://www.g2.com/de/products/skyvia/reviews)

Skyvia ist eine No-Code-Cloud-Datenintegrations- und Datenpipeline-Plattform, die ETL, ELT, Reverse ETL, Datenmigration, einseitige und bidirektionale Datensynchronisation, Workflow-Automatisierung, Echtzeit-Konnektivität und vieles mehr ermöglicht. Vorteile der Nutzung von Skyvia: • Kosteneffizienz: Mit erschwinglichen, flexiblen Preisplänen für jedes Produkt eignet sich Skyvia für Unternehmen jeder Größe. • Benutzerfreundlichkeit: Basierend auf umfangreichem Kundenfeedback ist die Benutzerfreundlichkeit die stärkste Qualität von Skyvia. • Flexibilität: Skyvia bietet anpassungsfähige, No-Code-Integrationswerkzeuge für sowohl grundlegende als auch fortgeschrittene Geschäftsszenarien. • Vertrauen: Skyvia wird von Tausenden datengetriebener Organisationen weltweit vertraut. Mit einer umfangreichen Bibliothek von über 200 Konnektoren bietet Skyvia nahtlose Integration zwischen verschiedenen Cloud-Anwendungen, Datenbanken und Data Warehouses, einschließlich Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery und anderen.

**Average Rating:** 4.8/5.0

**Total Reviews:** 322

#### How Do G2 Users Rate Skyvia?

- **War the product ein guter Geschäftspartner?:** 9.3/10 (Category avg: 9.1/10)
- **Automatisierung:** 9.4/10 (Category avg: 9.0/10)
- **Skalierbarkeit:** 9.3/10 (Category avg: 8.7/10)
- **Rechnungsprüfung:** 9.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Skyvia?

- **Verkäufer:** [Devart](https://www.g2.com/de/sellers/devart)
- **Gründungsjahr:** 1997
- **Hauptsitz:** Wilmington, Delaware, USA
- **Twitter:** @DevartSoftware  
1,736 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=79979469a3bee56c782598382543e7a4af65b7f1bcf71aea7d9fde07241e81e6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F800325%2F&secure%5Burl_type%5D=linkedin_company_website)  
252 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, CTO
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 52% Small, 42% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer finden die **Benutzerfreundlichkeit** von Skyvia bemerkenswert und heben seine intuitive Oberfläche für nahtlose Datenintegration hervor.
- Benutzer schätzen die **einfachen Integrationen** mit einer Low-Code-Oberfläche, die komplexe Datenverbindungen mühelos und effizient machen.
- Benutzer heben die **einfache Einrichtung** von Skyvia hervor und finden sie intuitiv und problemlos für nahtlose Datenintegration.
- Benutzer finden die **anfängliche Einrichtung einfach** , was schnelle Integrationen ermöglicht, ohne dass Programmierkenntnisse oder die Einbindung von Entwicklern erforderlich sind.
- Benutzer schätzen die **einfachen Integrationen** , die Skyvia bietet, wodurch schnelle Verbindungen über mehrere Systeme hinweg mühelos und intuitiv ermöglicht werden.

##### Cons

- Benutzer heben die Notwendigkeit für **erweiterte Dokumentation und detailliertere Protokolle** hervor, um die Fehlersuche und die Nachverfolgung von Aufgaben zu verbessern.
- Benutzer finden die **schwierige Einrichtung** von Skyvia herausfordernd aufgrund seiner veralteten Benutzeroberfläche und komplexen Konfigurationen.
- Benutzer finden die **Lernkurve steil** aufgrund komplexer Konfigurationen und einer dichten Benutzeroberfläche, die Zeit zum Meistern erfordert.
- Benutzer finden die **schlechte Dokumentation** von Skyvia mangelhaft an realen Beispielen, was die Integrationen komplexer und weniger intuitiv macht.
- Benutzer finden die **Einrichtungs-Schwierigkeit** mit Skyvia komplex, was Zeit und Aufwand für die Konfiguration und Feldzuordnung erfordert.

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

**["Einfache, codefreie Datensynchronisierung mit übersichtlicher Preisgestaltung"](https://www.g2.com/de/survey_responses/skyvia-review-12828558)**

**Rating:** 5.0/5.0 stars

_— Emily C._

[Read full review](https://www.g2.com/de/survey_responses/skyvia-review-12828558)

**["Einfache, zuverlässige Datensynchronisation zwischen Cloud-Apps und Datenbanken"](https://www.g2.com/de/survey_responses/skyvia-review-12843850)**

**Rating:** 5.0/5.0 stars

_— Marcus W._

[Read full review](https://www.g2.com/de/survey_responses/skyvia-review-12843850)

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

- [Wofür wird Skyvia verwendet?](https://www.g2.com/de/discussions/what-is-skyvia-used-for) - 1 comment

### [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

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

Hevo is a no-code ELT platform built on three principles: simplicity, reliability, and transparency. Connect your sources to leading data warehouses in 5 minutes with no engineering effort required. With automated scaling, fault-tolerant architecture, transparent pricing, and end-to-end visibility, Hevo keeps your data accurate and your pipelines running smoothly. Trusted by over 2,000 data teams across 45+ countries, Hevo brings all your data together through an intuitive experience that gets pipelines up and running in just a few clicks, so you can spend less time maintaining infrastructure and more time using your data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 288

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

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

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

- **Seller:** [Hevo Data](https://www.g2.com/sellers/hevo-data)
- **Company Website:** hevodata.com
- **Year Founded:** 2017
- **HQ Location:** San Francisco, California
- **Twitter:** @HevoData  
830 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=dfcc9c7aedbff9f9f9a43565428e81b3f220ae6429e31c33a423194949fd55fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F13296733%2F&secure%5Burl_type%5D=linkedin_company_website)  
233 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 49% Medium, 39% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Hevo Data, appreciating its intuitive interface and seamless integration capabilities.
- Users value the **24/7 customer support** of Hevo Data, ensuring assistance whenever needed for seamless operations.
- Users appreciate the **easy integrations** with multiple data sources in Hevo Data, streamlining their ETL processes effectively.
- Users love the **easy setup** of Hevo Data, with no coding required for a smooth ETL pipeline implementation.
- Users love Hevo Data for its **no-coding interface** , making ETL pipeline creation simple and efficient.

##### Cons

- Users find Hevo Data to be **expensive** , which can be a drawback despite its integration benefits and features.
- Users find the **pricing model a bit high** for the features provided, affecting overall satisfaction.
- Users find **limited customization** challenging, especially for complex transformations and understanding the UI effectively.
- Users note the **limited customization and transformation capabilities** of Hevo Data, impacting their overall experience and flexibility.
- Users find the **complex setup** of Hevo Data challenging, especially regarding SQL queries and initial configurations.

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

**["Empowered Our Data Pipeline with Outstanding Support"](https://www.g2.com/survey_responses/hevo-data-review-13190322)**

**Rating:** 4.5/5.0 stars

_— Swathi S._

[Read full review](https://www.g2.com/survey_responses/hevo-data-review-13190322)

**["Easy Pipeline Setup, Great Performance, and Outstanding Hevo Support"](https://www.g2.com/survey_responses/hevo-data-review-13076579)**

**Rating:** 4.5/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/hevo-data-review-13076579)

#### What Are G2 Users Discussing About Hevo Data?

- [How do you use HEVO data?](https://www.g2.com/discussions/how-do-you-use-hevo-data)
- [Is HEVO ETL tool?](https://www.g2.com/discussions/is-hevo-etl-tool) - 1 comment
- [Why use Hevo?](https://www.g2.com/discussions/why-use-hevo)
- [What does Hevo data do?](https://www.g2.com/discussions/what-does-hevo-data-do) - 1 comment

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

Parabola is the AI agent platform for ops and finance teams. You describe your messy, recurring processes (the work that lives in macros, Python scripts, and tribal knowledge today) like reconciliations, carrier billing audits, accruals, inventory checks, and PO matching. Parabola builds the agents that run them on schedule, handle the unstructured inputs (PDFs, screenshots, multi-tab spreadsheets) a human analyst would handle, and show their work at every step. Unlike black-box agents, every decision is inspectable, governable, and audit-ready, so the agent becomes the SOP your team can review, hand off, and update without re-prompting from scratch. Every Parabola engagement includes access to a team of automation engineers, who take learnings from thousands of prior engagements to help design, scope, and deploy agents ready for production scale, not as a demo. Ops and finance teams at On Running, WHOOP, Flexport, Fabletics, Kendo Brands, KIND Bar, Spindrift, and Uber Freight use Parabola to operationalize AI for the high-stakes recurring work generic chatbots and autonomous agents can't safely run.

**Average Rating:** 4.9/5.0

**Total Reviews:** 53

#### How Do G2 Users Rate Parabola?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Automation:** 9.6/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Parabola?

- **Seller:** [Parabola](https://www.g2.com/sellers/parabola)
- **Year Founded:** 2017
- **HQ Location:** San Francisco, CA
- **Twitter:** @parabolahq
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c3ae154be20712b49e00f5ba565e877a2f6c8cbd9331677fe1c218bc0dfec65b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F7590028%2F&secure%5Burl_type%5D=linkedin_company_website)  
79 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Consumer Goods, Computer Software
- **Company Size:** 47% Medium, 45% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users love Parabola for its **effortless automation** , significantly saving time on repetitive tasks with easy setup.
- Users find Parabola's **ease of use** exceptional, enabling quick automation setup without coding expertise.
- Users highlight Parabola's **intuitive interface** , making automation accessible for both technical and non-technical users.
- Users experience tremendous **time savings** with Parabola, easily automating tasks and enhancing workflow efficiency.
- Users value the **tremendous time savings** Parabola provides by automating repetitive tasks and simplifying workflow management.

##### Cons

- Users find the **limited flexibility** in data manipulation steps makes building flows cumbersome and time-consuming.
- Users face a **learning curve** that can be challenging initially, but improvements may ease the transition.
- Users find **time consumption** challenging with Parabola due to multiple steps needed for data manipulation, impacting efficiency.
- Users experience **data inaccuracy** with Parabola, often needing to verify results and manage report settings carefully.
- Users are frustrated by the **limited export options** , especially regarding large data sets exceeding Gmail's 25MB limit.

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

**["Parabola Makes Automation Easy and Independently Driven"](https://www.g2.com/survey_responses/parabola-review-12880670)**

**Rating:** 5.0/5.0 stars

_— Krystal C._

[Read full review](https://www.g2.com/survey_responses/parabola-review-12880670)

**["Parabola Saves Hours with Accurate Automation and Responsive Support"](https://www.g2.com/survey_responses/parabola-review-12893265)**

**Rating:** 4.5/5.0 stars

_— Michelle I._

[Read full review](https://www.g2.com/survey_responses/parabola-review-12893265)

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

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

### [Gathr.ai](https://www.g2.com/de/products/gathr-ai/reviews)

Gathr.ai treibt KI mit vollständigem Datenkontext für qualitativ hochwertigere Intelligenz an. Mit Tag-Null, hochpräzisem Datendiskurs können Benutzer datenbasierte Antworten auf die Fragen „Warum“, „Was wäre wenn“ und „Wie mache ich“ erhalten, die die GeschäftskPIs vorantreiben. Diese Intelligenz wird nativ auf der bestehenden Datenlandschaft der Organisation bereitgestellt — einschließlich Data Warehouses, Datenbanken, föderierten SQL-Engines und operativen Systemen. Führende Unternehmen in verschiedenen Branchen verlassen sich ebenfalls auf Gathr.ai, um leistungsstarke Datenpipelines, maßgeschneiderte Data+AI-Lösungen und handlungsorientierte Analyseerlebnisse zu entwickeln. Für Entwickler gebaut, bietet Gathr.ai Agilität, Leistung und Kontrolle. Es fügt sich nahtlos in den bestehenden Stack ein — integriert Upstream- und Downstream-Systeme ohne zusätzlichen Aufwand. Es bietet Entwicklern Starter-Kit-Geschwindigkeit und volle Erweiterungsfreiheit.

**Average Rating:** 4.8/5.0

**Total Reviews:** 33

#### How Do G2 Users Rate Gathr.ai?

- **War the product ein guter Geschäftspartner?:** 10.0/10 (Category avg: 9.1/10)
- **Automatisierung:** 9.7/10 (Category avg: 9.0/10)
- **Skalierbarkeit:** 9.6/10 (Category avg: 8.7/10)
- **Rechnungsprüfung:** 9.7/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Gathr.ai?

- **Verkäufer:** [Gathr.ai](https://www.g2.com/de/sellers/gathr-ai)
- **Gründungsjahr:** 2022
- **Hauptsitz:** Los Gatos, CA, US
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=23bea0ac47df2a0da7303c7ace19ffd59b5d08c8cac44c527d18fae2d5b1cdd5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgathr-one&secure%5Burl_type%5D=linkedin_company_website)  
57 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Associate Software Engineer
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 79% Medium, 21% Large

#### What Do G2 Reviewers Say About Gathr.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **nahtlosen Integrationen** von Gathr.ai, die schnelle Verbindungen und optimierte Datenverarbeitung für Analysen ermöglichen.
- Benutzer loben Gathr.ai für seine **effektiven Datenverwaltungsmöglichkeiten** , die einen nahtlosen Zugang zu aufschlussreicher, qualitätsorientierter Datenanalyse ermöglichen.
- Benutzer schätzen die **intuitive Drag-and-Drop-Oberfläche** von Gathr.ai, die komplexe Aufgaben zur Erstellung und Integration von Pipelines vereinfacht.
- Benutzer schätzen die **Benutzerfreundlichkeit** von Gathr.ai, wodurch die Datenintegration mit seiner intuitiven Low-Code-Oberfläche schnell erfolgt.
- Benutzer schätzen die **einfachen Integrationen** von Gathr.ai, die schnelle Verbindungen und effiziente Workflow-Einrichtungen über Plattformen hinweg ermöglichen.

##### Cons

- Benutzer heben **Zugangsprobleme** hervor, die durch das Fehlen nativer Konnektoren verursacht werden, was die Integration unnötig komplex macht.
- Benutzer haben **Verbindungsprobleme** mit Altsystemen, schätzen jedoch den rechtzeitigen Support und die Updates von Gathr.ai.
- Benutzer finden, dass die **schwierige Einrichtung** für benutzerdefinierte Konnektoren ihre Erfahrung beeinträchtigen kann, trotz des reibungslosen Integrationsprozesses.
- Benutzer finden den **Mangel an Echtzeitdaten** einschränkend, um die Pipeline-Leistung effektiv zu bewerten und zu verbessern.
- Benutzer finden, dass **Leistungsoptimierung technisches Fachwissen erfordert** , was Verbesserungen und Datenüberwachung im Echtzeit-Streaming herausfordernd macht.

#### What Are Recent G2 Reviews of Gathr.ai?

**["Ermöglicht tiefgehende, selbstständige Datenexploration"](https://www.g2.com/de/survey_responses/gathr-ai-review-11440931)**

**Rating:** 5.0/5.0 stars

_— Neha G._

[Read full review](https://www.g2.com/de/survey_responses/gathr-ai-review-11440931)

**["Vereinfachte Datenumwandlung für den Erfolg von GenAI"](https://www.g2.com/de/survey_responses/gathr-ai-review-11262615)**

**Rating:** 4.5/5.0 stars

_— siddharth g._

[Read full review](https://www.g2.com/de/survey_responses/gathr-ai-review-11262615)

### [Weld](https://www.g2.com/products/weld-weld/reviews)

Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure.

**Average Rating:** 4.8/5.0

**Total Reviews:** 107

#### How Do G2 Users Rate Weld?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 9.0/10)
- **Scalability:** 9.2/10 (Category avg: 8.7/10)
- **Auditing:** 7.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Weld?

- **Seller:** [Weld](https://www.g2.com/sellers/weld-733aad41-2e36-4f42-9349-7d847f41d873)
- **Company Website:** weld.app
- **Year Founded:** 2021
- **HQ Location:** Copenhagen, DK
- **Twitter:** @WeldHQ  
98 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a6272b5c7f8f7c73e833cab0b50e3a05a9867df8ee92624bf27ca6278a5ad213&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fweldhq%2F&secure%5Burl_type%5D=linkedin_company_website)  
91 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Computer Software, Retail
- **Company Size:** 58% Small, 41% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users rave about the **exceptional customer support** at Weld, resolving issues quickly and enhancing overall experience.
- Users appreciate the **ease of use** with Weld, finding it simple to implement and integrate into their workflows.
- Users value the **automation capabilities** of Weld, significantly enhancing data integration and analysis efficiency.
- Users praise the **exceptional customer support** and ease of setup, significantly enhancing their experience with Weld.
- Users find the **implementation ease** of Weld exceptional, allowing for quick setup and streamlined BI operations.

##### Cons

- Users find the **limited connectors** in Weld's basic plan somewhat restrictive, though upgrades are available for more options.
- Users find the **limited connectors** in the basic plan a bit restrictive despite the expanding catalogue.
- Users find Weld's **limited integrations** somewhat frustrating, especially with the restrictions on connectors in the basic plan.
- Users find the **complex setup** challenging, especially when debugging intricate queries in their data processes.
- Users experience occasional **connection issues** with Weld, requiring attention to ensure stable data extraction.

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

**["Seamless ETL with Stellar Support"](https://www.g2.com/survey_responses/weld-review-12858335)**

**Rating:** 5.0/5.0 stars

_— Edward S._

[Read full review](https://www.g2.com/survey_responses/weld-review-12858335)

**["Effortless Data Integration with Weld"](https://www.g2.com/survey_responses/weld-review-11123380)**

**Rating:** 5.0/5.0 stars

_— Shanil L._

[Read full review](https://www.g2.com/survey_responses/weld-review-11123380)

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

Airbyte is an open-source data integration and context layer platform for AI agents that allows companies to unite the data from hundreds of different applications, databases, and APIs. Airbyte can help companies move their data from one location to another automatically. Additionally, Airbyte agents can provide AI agents with the context that they require to complete specific tasks. It helps agents access, search, understand, and act on business data across hundred of tools.

**Average Rating:** 4.4/5.0

**Total Reviews:** 77

#### How Do G2 Users Rate Airbyte?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Automation:** 8.7/10 (Category avg: 9.0/10)
- **Scalability:** 8.4/10 (Category avg: 8.7/10)
- **Auditing:** 7.7/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Airbyte?

- **Seller:** [Airbyte](https://www.g2.com/sellers/airbyte)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **Twitter:** @airbytehq  
14,219 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a51e420b2c228baacda02205371cfd78f4366e972aa26e7d097a8d4dcd561738&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F64265083&secure%5Burl_type%5D=linkedin_company_website)  
120 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 56% Small, 35% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **intuitive UI** of Airbyte, enabling quick deployment of data pipelines without coding.
- Users appreciate the **abundant connectors** in Airbyte, simplifying integration with various sources and destinations.
- Users praise the **user-friendly interface** of Airbyte, making ELT pipeline creation simple and accessible for all levels.
- Users find the **setup ease** of Airbyte impressive, enabling quick and straightforward configuration of data pipelines.
- Users love the **quick setup** of Airbyte, allowing for fast and easy deployment of data pipelines.

##### Cons

- Users often face **poor documentation** , leading to frustrations with debugging and navigating less common connectors.
- Users find the **difficult setup** of Airbyte requires extra help and time investment, impacting initial usage experience.
- Users experience **opaque error messages** that complicate troubleshooting and hinder the overall effectiveness of Airbyte.
- Users find Airbyte to be **expensive** , especially for small companies handling large datasets, impacting overall value.
- Users report **limited connectors** , which can hinder their experience and require workarounds for compatibility issues.

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

**["Powerful CDC, Scheduler with Seamless Integration"](https://www.g2.com/survey_responses/airbyte-review-12521450)**

**Rating:** 4.0/5.0 stars

_— Eugenio C._

[Read full review](https://www.g2.com/survey_responses/airbyte-review-12521450)

**["Secure and Versatile with Easy Setup"](https://www.g2.com/survey_responses/airbyte-review-13058334)**

**Rating:** 4.0/5.0 stars

_— Muhammad A._

[Read full review](https://www.g2.com/survey_responses/airbyte-review-13058334)

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

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

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

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

**Average Rating:** 4.7/5.0

**Total Reviews:** 195

#### How Do G2 Users Rate Coefficient?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Automation:** 9.3/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Coefficient?

- **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient)
- **Company Website:** coefficient.io
- **Year Founded:** 2020
- **HQ Location:** Palo Alto, CA
- **Twitter:** @coefficient\_io  
346 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1a36ef868415520ac840f5699de01e684ba3b9e328d0a3215043fadd7d1bd7ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoefficientworks%2F&secure%5Burl_type%5D=linkedin_company_website)  
71 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with Coefficient, enjoying seamless data extraction and hassle-free connectivity.
- Users love the **automation capabilities** of Coefficient, which simplify data integration and save significant time.
- Users appreciate the **seamless integrations** of Coefficient, effortlessly syncing data between Salesforce, QuickBooks, and Google Sheets.
- Users love the **easy integrations** of Coefficient, drastically improving workflow and enabling hassle-free data syncing.
- Users enjoy the **time-saving automation** of Coefficient, regaining hours each week with effortless data management.

##### Cons

- Users find the **feature limitations** of Coefficient frustrating, especially with filtering and data formatting issues.
- Users face **limited features** with Coefficient, particularly regarding filter and import restrictions compared to Google Sheets.
- Users are dissatisfied with the **missing features** in Coefficient, such as limited filter options and inadequate chart integration.
- Users face **filter limitations** in Coefficient, impacting their ability to manage data efficiently across imports.
- Users face **integration issues** with Coefficient, particularly lacking essential features and facing frustrating import formats.

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

**["Efficient, User-Friendly Tool for Integrating Salesforce with Google Sheets"](https://www.g2.com/survey_responses/coefficient-review-12701723)**

**Rating:** 5.0/5.0 stars

_— Ellen Dericks C._

[Read full review](https://www.g2.com/survey_responses/coefficient-review-12701723)

**["Seamless Database Queries in Google Sheets with Responsive Support"](https://www.g2.com/survey_responses/coefficient-review-13098229)**

**Rating:** 4.5/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/coefficient-review-13098229)

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

Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML with ANSI Sql. Move on if you data platform is not moving you forward with Lyftron govern and secure data delivery platform for your data migration and modernization needs as Lyftron eliminates traditional ETL/EDW bottlenecks with automatic data pipeline & modern next-gen cloud warehouse which makes data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake. Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. At Lyftron Data, we eliminate the time spent by engineers building data pipelines manually- and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL. Our pre-built connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide data governance and sensitive data encryption capability.

**Average Rating:** 4.9/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate lyftrondata?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Automation:** 9.6/10 (Category avg: 9.0/10)
- **Scalability:** 9.8/10 (Category avg: 8.7/10)
- **Auditing:** 9.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind lyftrondata?

- **Seller:** [Lyftron](https://www.g2.com/sellers/lyftron)
- **Year Founded:** 2019
- **HQ Location:** Reston, Virginia
- **Twitter:** @lyftron  
22 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2812440cd94a2cc23b556cee6328fcc594484b8a67de2a77da7c6e122748d146&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F35607092%2F&secure%5Burl_type%5D=linkedin_company_website)  
102 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Architect, Data Analyst
- **Top Industries:** Information Technology and Services, Health, Wellness and Fitness
- **Company Size:** 84% Medium, 11% Small

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

**["Easy onboarding of new data with seamless integration"](https://www.g2.com/survey_responses/lyftrondata-review-8638545)**

**Rating:** 5.0/5.0 stars

_— Vihana M._

[Read full review](https://www.g2.com/survey_responses/lyftrondata-review-8638545)

**["Apply no-code enrichment in seconds"](https://www.g2.com/survey_responses/lyftrondata-review-8599319)**

**Rating:** 5.0/5.0 stars

_— Joshua S._

[Read full review](https://www.g2.com/survey_responses/lyftrondata-review-8599319)

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

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

### [Etleap](https://www.g2.com/de/products/etleap/reviews)

Etleap wurde für den modernen Datenanalysten entwickelt und ermöglicht es Ihnen, Datenpipelines und Datenlager/-seen mit einer wartungsfreien, codefreien ETL-Lösung zu erstellen. Mit erstklassigem technischem Support können Sie die Zeit reduzieren, die Ihre Ingenieure mit ETL verbringen, und den Analysten in Minuten umsetzbare Daten mit Pipelines liefern, die "einfach funktionieren". Etleap unterstützt mühelose Integration von über 75 Quellverbindern über Datenbanken, Anwendungen, Dateien und Ereignisströme. Gegründet im Jahr 2013 und mit Hauptsitz in San Francisco, ist Etleap Ihre All-in-One-Lösung für die Verwaltung Ihrer Cloud-ETL-Anforderungen.

**Average Rating:** 4.9/5.0

**Total Reviews:** 27

#### How Do G2 Users Rate Etleap?

- **War the product ein guter Geschäftspartner?:** 9.9/10 (Category avg: 9.1/10)
- **Automatisierung:** 9.3/10 (Category avg: 9.0/10)
- **Skalierbarkeit:** 9.7/10 (Category avg: 8.7/10)
- **Rechnungsprüfung:** 8.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Etleap?

- **Verkäufer:** [Etleap](https://www.g2.com/de/sellers/etleap)
- **Gründungsjahr:** 2013
- **Hauptsitz:** San Francisco, CA
- **Twitter:** @etleap  
149 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=74d997b4c8f7b33f9b9dd1417f4e63145b5cb5c35dc3d9ba6f3babf91b6bfe22&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fetleap%2F&secure%5Burl_type%5D=linkedin_company_website)  
26 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Finanzdienstleistungen
- **Company Size:** 59% Medium, 30% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer loben die **Benutzerfreundlichkeit** von Etleap und finden es intuitiv und unkompliziert für Datenintegrationsaufgaben.
- Benutzer schätzen die **Automatisierungsfähigkeiten** von Etleap, die die Effizienz steigern und die Datenverwaltungsprozesse vereinfachen.
- Benutzer heben den **reaktionsschnellen und sachkundigen Kundensupport** von Etleap hervor, was die allgemeine Benutzererfahrung und Zufriedenheit verbessert.
- Benutzer schätzen die **Benutzerfreundlichkeit und umfangreichen Datenaufbereitungsoperationen** , die die Datenintegration und -verwaltung verbessern.
- Benutzer schätzen die **intuitive Benutzeroberfläche** von Etleap, die die ETL-Konfiguration vereinfacht und die Produktivität von Datenteams steigert.

##### Cons

- Benutzer bemerken **Pipeline-Probleme** , die verbessert werden könnten, um die Navigation für Verbindungen benutzerfreundlicher zu gestalten.
- Benutzer finden **Verbindungsprobleme** herausfordernd, was das Pipeline-Management für eine Regierungsverbindung komplizierter macht als nötig.
- Benutzer finden die **Navigierung von Pipelines** in Etleap herausfordernd, was zu einer weniger effizienten Verwaltungserfahrung führt.

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

**["Fantastische Software & erstklassiger Kundenservice"](https://www.g2.com/de/survey_responses/etleap-review-11409290)**

**Rating:** 5.0/5.0 stars

_— Alan L._

[Read full review](https://www.g2.com/de/survey_responses/etleap-review-11409290)

**["Unglaublicher Kundensupport & Einfach zu bedienen"](https://www.g2.com/de/survey_responses/etleap-review-10771370)**

**Rating:** 5.0/5.0 stars

_— Octavio L._

[Read full review](https://www.g2.com/de/survey_responses/etleap-review-10771370)

### [AWS Data Pipeline](https://www.g2.com/products/aws-data-pipeline/reviews)

AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.

**Average Rating:** 4.1/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate AWS Data Pipeline?

- **Has the product been a good partner in doing business?:** 7.4/10 (Category avg: 9.1/10)

#### Who Is the Company Behind AWS Data Pipeline?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 58% Medium, 29% Large

#### What Are Recent G2 Reviews of AWS Data Pipeline?

**["Stable and Gets the Job Done, Feels a Bit Dated at Times"](https://www.g2.com/survey_responses/aws-data-pipeline-review-796101)**

**Rating:** 4.0/5.0 stars

_— Verified User in Cosmetics_

[Read full review](https://www.g2.com/survey_responses/aws-data-pipeline-review-796101)

**["Easy to setup pipeline for data transformation"](https://www.g2.com/survey_responses/aws-data-pipeline-review-3600167)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/aws-data-pipeline-review-3600167)

#### What Are G2 Users Discussing About AWS Data Pipeline?

- [What is AWS Data Pipeline used for?](https://www.g2.com/discussions/what-is-aws-data-pipeline-used-for)

### [HubSpot Data Hub](https://www.g2.com/de/products/hubspot-data-hub/reviews)

Data Hub verbindet, bereinigt und automatisiert Kundendaten im gesamten HubSpot CRM und bietet den Operationsteams Werkzeuge zur Aufrechterhaltung der Datenqualität, zur Sicherstellung der Systemintegration und zur Rationalisierung von Geschäftsprozessen. Kernwertversprechen: Data Hub adressiert kritische betriebliche Herausforderungen: getrennte Daten über Anwendungen hinweg, manuelle Dateneingabe, die Zeit des Teams beansprucht, Datenqualitätsprobleme, die Geschäftsentscheidungen untergraben, und komplexe Automatisierungsanforderungen, die bestehende Tools nicht bewältigen können. Die Plattform bietet native Integrationen mit anderen Anwendungen, um ein effizienteres, abgestimmtes und agiles Geschäft zu schaffen. Hauptfunktionen: Datenintegration: Data Hub verbindet Kontakte, Leads und Unternehmensdaten zwischen HubSpot und externen Anwendungen bidirektional und in Echtzeit. Dies schafft eine einheitliche Kundendatenbasis, anstatt manuelle Datenübertragungen zu erfordern. Datenqualitätsmanagement: Die Plattform enthält Werkzeuge, die eine saubere Datenbank aufrechterhalten, sodass Operationsteams Stunden manueller Datenvalidierung und Korrekturarbeit sparen können. Prozessautomatisierung: Data Hub ermöglicht komplexe Geschäftsprozessautomatisierung über Systeme hinweg, indem es Auslöserereignisse in einer Anwendung mit automatisierten Aktionen in einer anderen verbindet. Dies rationalisiert interne Arbeitsabläufe und reduziert manuelle Koordination. Einheitliche Kundenansicht: Durch die Verbindung aller Kundendatenquellen mit der HubSpot CRM-Plattform schafft Data Hub eine einzige Quelle der Wahrheit, auf die Vertriebs-, Marketing- und Serviceteams für Kundeninteraktionen zurückgreifen können. Data Hub vs. Alternativen: Im Gegensatz zu eigenständigen Integrationsplattformen (iPaaS), die technisches Fachwissen zur Konfiguration und Wartung erfordern, bietet Data Hub native HubSpot-Integration mit einer visuellen Oberfläche, die für Operationsprofis und nicht für Entwickler konzipiert ist. Dies reduziert die Implementierungszeit und den laufenden Wartungsaufwand. Data Hub eliminiert manuelle Dateneingabe und Datenvalidierung, indem es diese Arbeitsabläufe automatisiert. Die Plattform garantiert aktuelle Daten und hält eine saubere Datenbank ohne ständige manuelle Eingriffe aufrecht. Wer sollte Data Hub verwenden: Data Hub dient Operationsteams, die Daten über mehrere Systeme hinweg verwalten, Organisationen, die mit Datenqualitätsproblemen konfrontiert sind, die Geschäftsentscheidungen beeinflussen, und Unternehmen, die komplexe systemübergreifende Arbeitsabläufe ohne umfangreiche technische Ressourcen automatisieren müssen. Die Plattform ermöglicht geschäftliche Agilität, während Organisationen wachsen. Ergebnis: Data Hub verstärkt Ihr HubSpot CRM mit einem vollständigen Toolkit, um Kundendaten zu verbinden, zu bereinigen und zu automatisieren, und vereint alle Kundendaten in einer verbundenen Plattform, die zu einem reibungslosen Kundenerlebnis führt.

**Average Rating:** 4.5/5.0

**Total Reviews:** 562

#### How Do G2 Users Rate HubSpot Data Hub?

- **War the product ein guter Geschäftspartner?:** 9.1/10 (Category avg: 9.1/10)
- **Automatisierung:** 8.3/10 (Category avg: 9.0/10)
- **Skalierbarkeit:** 10.0/10 (Category avg: 8.7/10)
- **Rechnungsprüfung:** 8.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind HubSpot Data Hub?

- **Verkäufer:** [HubSpot](https://www.g2.com/de/sellers/hubspot)
- **Unternehmenswebsite:** hubspot.com
- **Gründungsjahr:** 2006
- **Hauptsitz:** Cambridge, Massachusetts, United States
- **Twitter:** @HubSpot  
784,270 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e7728cdccf3cd40d382e6159b493e5f6534eb2bfad47dc424c39639ed9e0ebf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F68529%2F&secure%5Burl_type%5D=linkedin_company_website)  
12,158 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Eigentümer
- **Top Industries:** Informationstechnologie und Dienstleistungen, Marketing und Werbung
- **Company Size:** 67% Small, 30% Medium

#### What Do G2 Reviewers Say About HubSpot Data Hub?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer finden HubSpot Data Hub außergewöhnlich **einfach zu bedienen** , mit nahtlosen Integrationen und intuitiven Berichtsfunktionen, die die Workflow-Effizienz verbessern.
- Benutzer schätzen die **zweiseitige Datensynchronisation** des HubSpot Data Hub, die Effizienz und Zusammenarbeit über Teams hinweg verbessert.
- Benutzer schätzen die **Automatisierungsfähigkeiten** des HubSpot Data Hub, die Arbeitsabläufe erheblich vereinfachen und die betriebliche Effizienz steigern.
- Benutzer schätzen die **nahtlose Datenintegration** des HubSpot Data Hub, die das Datenmanagement und die betriebliche Effizienz verbessert.
- Benutzer schätzen die **Effizienz** des HubSpot Data Hub, da sie erheblich Zeit sparen und die Marketingeffektivität durch Automatisierung steigern.

##### Cons

- Benutzer finden HubSpot Data Hub gelegentlich **langsam und komplex** , insbesondere mit verstreuten Tools und komplizierten Freigabeeinstellungen.
- Benutzer finden die **begrenzten Funktionen** des HubSpot Data Hub frustrierend, insbesondere da einige jetzt hinter Bezahlschranken liegen.
- Benutzer finden die **Lernkurve komplex** und benötigen oft fachkundige Unterstützung, um fortgeschrittene Funktionen effektiv zu nutzen.
- Benutzer finden die **Preise als teuer** , was es schwierig macht, sie für einige Geschäftsfälle zu rechtfertigen.
- Benutzer finden die **Komplexität** des HubSpot Data Hub herausfordernd und benötigen oft Expertenhilfe für fortgeschrittene Funktionen.

#### What Are Recent G2 Reviews of HubSpot Data Hub?

**["HubSpot Data Hub hält Kundendaten sauber und zentralisiert"](https://www.g2.com/de/survey_responses/hubspot-data-hub-review-12562615)**

**Rating:** 4.0/5.0 stars

_— Sagar K._

[Read full review](https://www.g2.com/de/survey_responses/hubspot-data-hub-review-12562615)

**["Eine leistungsstarke Plattform zur Zentralisierung und Verwaltung von Kundendaten"](https://www.g2.com/de/survey_responses/hubspot-data-hub-review-10686855)**

**Rating:** 5.0/5.0 stars

_— Nancy K._

[Read full review](https://www.g2.com/de/survey_responses/hubspot-data-hub-review-10686855)

#### What Are G2 Users Discussing About HubSpot Data Hub?

- [What is HubSpot Operations Hub used for?](https://www.g2.com/de/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment

### [Integrate.io](https://www.g2.com/de/products/integrate-io/reviews)

Integrate.io ist eine Low-Code-Datenpipeline-Plattform, die sich auf Operational ETL spezialisiert hat, damit Unternehmen Geschäftsprozesse und manuelle Datenvorbereitung automatisieren können. Die vier Kernanwendungsfälle konzentrieren sich auf: 1) Dateidatenvorbereitung und B2B-Datenaustausch 2) Vorbereitung und Laden von Daten in CRMs und ERPs wie Salesforce, NetSuite und HubSpot 3) Unterstützung von Datenprodukten mit Echtzeit-Datenbankreplikation 4) Transformation und Zentralisierung von Daten in ein Data Warehouse für Analysen

**Average Rating:** 4.3/5.0

**Total Reviews:** 211

#### How Do G2 Users Rate Integrate.io?

- **War the product ein guter Geschäftspartner?:** 9.2/10 (Category avg: 9.1/10)
- **Automatisierung:** 9.1/10 (Category avg: 9.0/10)
- **Skalierbarkeit:** 8.3/10 (Category avg: 8.7/10)
- **Rechnungsprüfung:** 7.8/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Integrate.io?

- **Verkäufer:** [Integrate.io](https://www.g2.com/de/sellers/integrate-io)
- **Gründungsjahr:** 2012
- **Hauptsitz:** San Francisco, CA
- **Twitter:** @Integrateio  
4,285 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8369032372bed5cba91755525547d3f9a4467f0fee9defec350caaa1108d9bee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2709076%2F&secure%5Burl_type%5D=linkedin_company_website)  
28 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Dateningenieur, Datenanalyst
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 51% Medium, 32% Small

#### What Do G2 Reviewers Say About Integrate.io?

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer loben die **Benutzerfreundlichkeit** und Flexibilität von Integrate.io, was es einfach macht, verschiedene Daten-Workflows zu verwalten.
- Benutzer schätzen den **reaktionsschnellen und sachkundigen Kundensupport** von Integrate.io, der ihr Gesamterlebnis mit der Plattform verbessert.
- Benutzer loben die **einfachen Integrationen** von Integrate.io und schätzen seine nahtlose Verbindung mit verschiedenen Datenquellen.
- Benutzer schätzen die **Automatisierungsfunktionen** von Integrate.io für ihr benutzerfreundliches Design und die nahtlose Workflow-Planung.
- Benutzer finden die **einfache Einrichtung** von Integrate.io intuitiv, was eine schnelle Einarbeitung und effizientes Datenmanagement für Teams ermöglicht.

##### Cons

- Benutzer bemerken eine **Lernschwierigkeit** bei fortgeschrittenen Transformationen, die Zeit und Mühe erfordert, um das Werkzeug vollständig zu nutzen.
- Benutzer finden die **begrenzten Integrationen** mit Quellen und Funktionen behindern die Flexibilität und Benutzerfreundlichkeit in komplexen Setups.
- Benutzer finden **schlechte Dokumentation** frustrierend, insbesondere in Bezug auf API-Integration und komplexe Transformationseinrichtungen.
- Benutzer heben die Notwendigkeit einer **besseren API-Dokumentation** hervor, um die Integration und die allgemeine Benutzerfreundlichkeit von Integrate.io zu verbessern.
- Benutzer benötigen mehr **ausführliche API-Dokumentation** , um die Integration und Nutzung der Funktionen von Integrate.io effektiv zu verbessern.

#### What Are Recent G2 Reviews of Integrate.io?

**["Mühelose Einrichtung, intuitive Nutzung und zuverlässige Leistung"](https://www.g2.com/de/survey_responses/integrate-io-review-12841374)**

**Rating:** 5.0/5.0 stars

_— Craig P._

[Read full review](https://www.g2.com/de/survey_responses/integrate-io-review-12841374)

**["Endlich aufgehört, sich um unsere Datenpipelines zu sorgen, und das sagt viel aus."](https://www.g2.com/de/survey_responses/integrate-io-review-12398331)**

**Rating:** 5.0/5.0 stars

_— Abe D._

[Read full review](https://www.g2.com/de/survey_responses/integrate-io-review-12398331)

#### What Are G2 Users Discussing About Integrate.io?

- [Wofür wird Integrate.io verwendet?](https://www.g2.com/de/discussions/what-is-integrate-io-used-for)

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Similar Categories

- [Big Data Integration Platforms](/categories/big-data-integration-platforms)
- [Cloud Migration](/categories/cloud-migration)
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- [Enterprise Service Bus (ESB)](/categories/enterprise-service-bus-esb)
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- [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, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized 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 Medium-Sized Business ETL Tools category.

In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Medium-Sized Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from a medium-sized 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