# Best ETL Tools

## 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=989&focus%5B%5D=6073&focus%5B%5D=8076&focus%5B%5D=23920&focus%5B%5D=604&focus%5B%5D=1308796)

Highlighted products: Databricks, Celigo, Alteryx, Google Cloud BigQuery, FME Platform, Fivetran, Domo, and IBM watsonx.data.

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

**Sponsored**

### KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

[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=2026-08-03T13%3A25%3A52Z&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=16291&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%3Fopen_modal_url%3D%252Fproducts%252Fomniscope-evo%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fetl-tools%2526source%253Dcategory&secure%5Btoken%5D=4907d944645abb393bdebf29991608424634d0a02d1b382a8c750c150bf879c3&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Databricks](https://www.g2.com/pt/products/databricks/reviews)

Databricks é uma plataforma unificada de dados e IA que ajuda as organizações a construir, governar e escalar pipelines de dados, análises, aprendizado de máquina, aplicações de IA e agentes. Mais de 20.000 organizações em todo o mundo — incluindo adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever e 70% das empresas da Fortune 500 — confiam no Databricks para trabalhar com dados empresariais e IA em escala. Com sede em São Francisco e mais de 30 escritórios ao redor do mundo, o Databricks oferece uma plataforma unificada que inclui Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie e Unity Catalog. Fundado em 2013 pelos criadores originais do Apache Spark™, Delta Lake, MLflow e Unity Catalog, o Databricks é construído em uma arquitetura de lakehouse aberta que reúne dados, análises e IA. A plataforma é usada por engenheiros de dados, cientistas de dados, analistas, desenvolvedores, equipes de aprendizado de máquina, equipes de IA e usuários de negócios para colaborar em todo o ciclo de vida de dados e IA. As principais capacidades do Databricks incluem: - Engenharia de dados: Construa, automatize e gerencie pipelines de dados em lote, streaming e em tempo real de forma confiável. - Análise e inteligência de negócios: Execute análises SQL, crie dashboards e permita que as equipes de negócios explorem dados. - Governança de dados: Descubra, proteja e gerencie dados e ativos de IA entre equipes, nuvens e cargas de trabalho. - Aprendizado de máquina e IA: Desenvolva modelos, construa aplicações de IA generativa e crie agentes de IA em nível de produção. - Aplicações de dados: Construa e implante aplicações orientadas a dados usando dados empresariais governados. Disponível em AWS, Azure e Google Cloud, o Databricks ajuda as organizações a trabalhar entre nuvens, reduzir silos de dados e simplificar a colaboração entre equipes e ferramentas. Os clientes usam o Databricks para casos de uso como personalização de clientes, detecção de fraudes, manutenção preditiva, análises em tempo real, cibersegurança, pesquisa em saúde, gestão de risco financeiro, otimização da cadeia de suprimentos e tomada de decisão impulsionada por IA. O Databricks é usado em diversos setores, incluindo serviços financeiros, saúde e ciências da vida, varejo, manufatura, energia e setor público. As organizações usam a plataforma para modernizar a infraestrutura de dados, acelerar a adoção de IA e transformar dados empresariais em valor de negócios.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,328

#### How Do G2 Users Rate Databricks?

- **the product tem sido um bom parceiro comercial?:** 8.9/10 (Category avg: 9.1/10)
- **Automação:** 9.0/10 (Category avg: 9.0/10)
- **Escalabilidade:** 9.2/10 (Category avg: 8.7/10)
- **Auditoria:** 8.5/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Databricks?

- **Vendedor:** [Databricks Inc.](https://www.g2.com/pt/sellers/databricks-inc)
- **Website da Empresa:** databricks.com
- **Ano de Fundação:** 2013
- **Localização da Sede:** San Francisco, CA
- **Twitter:** @databricks  
92,269 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Analista de Dados
- **Top Industries:** Tecnologia da Informação e Serviços, Serviços Financeiros
- **Company Size:** 47% Large, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários elogiam a **facilidade de uso** e os **recursos abrangentes** do Databricks para armazenamento de dados e aplicações de ML.
- Os usuários elogiam a **facilidade de uso** do Databricks, melhorando sua experiência com interfaces intuitivas e serviços confiáveis.
- Os usuários apreciam as **integrações perfeitas** do Databricks com a AWS e outras ferramentas, melhorando as operações diárias e a eficiência.
- Os usuários valorizam a **colaboração perfeita** oferecida pelo Databricks, aprimorando o trabalho em equipe em projetos de dados com insights em tempo real.
- Os usuários elogiam os **recursos analíticos integrados** do Databricks, que melhoram o processamento colaborativo de dados e a visualização de insights.

##### Cons

- Os usuários observam uma **curva de aprendizado acentuada** inicialmente, com permissões confusas e modos de computação afetando a usabilidade.
- Os usuários observam que os **custos podem ser bastante altos** para utilizar o Databricks de forma eficaz, especialmente para grandes projetos de dados.
- Os usuários encontram uma **curva de aprendizado íngreme** com o Databricks, especialmente desafiadora para os novatos em ferramentas de big data.
- Os usuários acham a **complexidade** do Databricks desafiadora, especialmente para equipes menores e processos de configuração inicial.
- Os usuários enfrentam desafios de **configuração complexa** inicialmente, embora o suporte ajude a simplificar a experiência ao longo do tempo.

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

**["Plataforma Confiável para Construir Pipelines de Dados Escaláveis"](https://www.g2.com/pt/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/pt/survey_responses/databricks-review-13198355)

**["Databricks simplifica ETL e análises com notebooks escaláveis"](https://www.g2.com/pt/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/pt/survey_responses/databricks-review-13181721)

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

- [What does Databricks software do?](https://www.g2.com/pt/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [O que é a plataforma de análise unificada da Databricks?](https://www.g2.com/pt/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [O que é Lakehouse no Databricks?](https://www.g2.com/pt/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [Quais são os recursos do Databricks?](https://www.g2.com/pt/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

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

Celigo is the intelligent automation platform built for the AI era. An enterprise-ready iPaaS, Celigo helps organizations unify applications, automate complex operations, and scale digital ecosystems. The platform supports cloud integration, SaaS integration, enterprise application integration, and agentic automation under a single governance model. The platform is accessible to both business teams and developers — anyone can build, configure, and maintain integrations through natural language, while technical teams retain full control over architecture, security, and extensibility. Through an extensive library of 1,000+ prebuilt connectors, organizations can rapidly integrate systems such as ERP, CRM, ecommerce, finance, and support platforms — including NetSuite, Salesforce, SAP, Microsoft Dynamics, and Shopify — while maintaining flexibility for custom integrations and advanced API management. Celigo supports a wide range of enterprise integration scenarios including ERP integration, CRM integration, B2B integration, and EDI (electronic data interchange) workflows. These capabilities allow organizations to streamline supplier, partner, and customer data exchange while ensuring reliable data integration across internal and external systems. Built-in tools for data mapping, data transformation, and data synchronization ensure that information moves accurately and consistently between applications. What sets Celigo apart is its ability to span the full spectrum of automation — from deterministic, rules-based workflows to AI-driven decision-making — without requiring separate platforms or governance models. Celigo Agent Builder enables teams to create AI agents that reason and act across enterprise systems, with configurable guardrails that enforce business policy at runtime. Human-in-the-loop approvals ensure sensitive actions require explicit authorization before execution, and complete audit trails support compliance across every AI interaction. Celigo's MCP Server exposes enterprise capabilities through the Model Context Protocol, giving any AI agent — built inside Celigo or externally — secure, governed, auditable access to the full enterprise tech stack. This makes Celigo a foundational layer for enterprise AI orchestration, enabling organizations to connect external agents to internal systems without sacrificing control or visibility. Celigo Ora, the platform's natural language interface, makes the entire platform accessible through conversation. Anyone — including business teams without technical training — can build, modify, troubleshoot, and maintain integrations and automations by describing what they need in plain language. This eliminates the specialist bottleneck not just for building automations, but for ongoing maintenance and issue resolution as well. To accelerate deployment, Celigo offers fully managed Integration Apps and reusable integration templates that simplify common use cases such as order-to-cash automation, ecommerce integrations, and financial data flows. Centralized monitoring, runtime governance controls, and scalable architecture give enterprises full visibility into integration and automation processes while maintaining reliability and compliance. Designed for modern IT and operations teams, Celigo empowers enterprises to unify integration, automation, and AI on a single platform — scaling capacity without scaling headcount, and building a durable foundation for digital transformation across the entire application landscape.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,067

#### How Do G2 Users Rate Celigo?

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

#### Who Is the Company Behind Celigo?

- **Seller:** [Celigo](https://www.g2.com/sellers/celigo)
- **Company Website:** www.celigo.com
- **Year Founded:** 2011
- **HQ Location:** Redwood City, California
- **Twitter:** @celigoinc  
1,418 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=62d4b59e1d0308da646469c5a274beead8dbe6d3770aa75cd23cfb98ce47b859&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F275831%2F&secure%5Burl_type%5D=linkedin_company_website)  
786 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** IT Manager, NetSuite Administrator
- **Top Industries:** Retail, Consumer Goods
- **Company Size:** 58% Medium, 37% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in Celigo, making integration management accessible for everyone, regardless of technical background.
- Users value the **user-friendly integrations** of Celigo, appreciating its customizable solutions for diverse client needs.
- Users value the **integration capabilities** of Celigo, enabling seamless connections with various APIs easily and efficiently.
- Users value the **easy integrations** of Celigo, enabling seamless connectivity and enhanced functionality across systems.
- Users value the **helpful and thorough customer support** provided by Celigo, ensuring effective assistance with customizations.

##### Cons

- Users find **error handling challenging** with unclear messages and random issues that are difficult to track.
- Users often remark on the **premium pricing** of Celigo, with costs increasing as more features are added.
- Users find the **learning curve steep** , requiring time and effort to fully understand the platform's functionalities.
- Users often face **complexity challenges** with Celigo, struggling with vague error messages and intricate integration processes.
- Users report **premium pricing** can be confusing, especially with unexpected increases in contract renewals.

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

**["Seamless Integration with Exceptional Support"](https://www.g2.com/survey_responses/celigo-review-1996577)**

**Rating:** 5.0/5.0 stars

_— Steve B._

[Read full review](https://www.g2.com/survey_responses/celigo-review-1996577)

**["A trusted integration partner for Shopify and ERP projects"](https://www.g2.com/survey_responses/celigo-review-13172761)**

**Rating:** 5.0/5.0 stars

_— Sergiu T._

[Read full review](https://www.g2.com/survey_responses/celigo-review-13172761)

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

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

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

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.

**Average Rating:** 4.6/5.0

**Total Reviews:** 856

#### How Do G2 Users Rate Alteryx?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 9.7/10 (Category avg: 9.0/10)
- **Scalability:** 10.0/10 (Category avg: 8.7/10)
- **Auditing:** 10.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Alteryx, finding it user-friendly and efficient for non-technical users.
- Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis.
- Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient.
- Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience.
- Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding.

##### Cons

- Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups.
- Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly.
- Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility.
- Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners.
- Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx.

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

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,144

#### How Do G2 Users Rate Google Cloud BigQuery?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Automation:** 8.8/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Google Cloud BigQuery?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Large, 35% Medium

#### What Do G2 Reviewers Say About Google Cloud BigQuery?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle.
- Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly.
- Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management.
- Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets.
- Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed.

##### Cons

- Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses.
- Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting.
- Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges.
- Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility.
- Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques.

#### What Are Recent G2 Reviews of Google Cloud BigQuery?

**["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)**

**Rating:** 4.0/5.0 stars

_— Reetika P._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)

**["Scalable, Secure BigQuery That Connects Seamlessly Across Services"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)**

**Rating:** 5.0/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)

#### What Are G2 Users Discussing About Google Cloud BigQuery?

- [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote
- [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes
- [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment
- [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment

### [FME Platform](https://www.g2.com/pt/products/fme-platform/reviews)

FME é a única Plataforma de Integração Empresarial com suporte abrangente para dados espaciais. A Plataforma FME possui suporte integrado para milhares de sistemas, bem como mais de 800 transformadores prontos para uso, permitindo que os usuários construam e automatizem fluxos de trabalho de integração personalizados sem precisar codificar. Se seus desafios de dados estão relacionados a dados espaciais, big data, processamento de fluxo, migração para a nuvem ou inteligência de negócios, o FME está aqui para ajudar você a gastar mais tempo usando dados e menos tempo lutando contra eles.

**Average Rating:** 4.6/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate FME Platform?

- **the product tem sido um bom parceiro comercial?:** 9.1/10 (Category avg: 9.1/10)
- **Automação:** 9.4/10 (Category avg: 9.0/10)
- **Escalabilidade:** 8.2/10 (Category avg: 8.7/10)
- **Auditoria:** 8.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind FME Platform?

- **Vendedor:** [Safe Software](https://www.g2.com/pt/sellers/safe-software)
- **Website da Empresa:** fme.safe.com
- **Ano de Fundação:** 1993
- **Localização da Sede:** British Columbia, Canada
- **Twitter:** @SafeSoftware  
4,972 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f51fda03ec1714e4e9b70cd5c252a3781277b1ecefb3ddfb641e6af2f11170f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F50027%2F&secure%5Burl_type%5D=linkedin_company_website)  
346 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Analista de Dados, Analista de SIG
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 47% Medium, 27% Small

#### What Do G2 Reviewers Say About FME Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **interface amigável** da Plataforma FME, tornando os fluxos de trabalho de dados simples e eficientes de gerenciar.
- Os usuários apreciam o **manuseio e integração de dados sem interrupções** da Plataforma FME, melhorando a automação e eficiência do fluxo de trabalho.
- Os usuários valorizam as **capacidades de automação** da FME Platform, aumentando significativamente a produtividade e simplificando os fluxos de trabalho de dados.
- Os usuários elogiam a FME Platform por sua **interoperabilidade excepcional** , transformando eficientemente diversos formatos de dados em fluxos de trabalho automatizados.
- Os usuários valorizam as **capacidades flexíveis de transformação de dados** da Plataforma FME, aprimorando seu fluxo de trabalho com automação e interoperabilidade impressionantes.

##### Cons

- Os usuários têm dificuldades com a **complexidade** da Plataforma FME, particularmente na automação e navegação na interface do usuário durante situações de alta pressão.
- Os usuários expressam preocupação com o **modelo de preços caro** da FME Platform, tornando desafiador para equipes menores investirem.
- Os usuários enfrentam uma **curva de aprendizado íngreme** , achando a interface intimidadora e a integração de outros um desafio significativo.
- Os usuários acham a **curva de aprendizado íngreme** da FME Platform desafiadora, tornando a navegação e o entendimento do software difíceis.
- Os usuários expressam preocupações sobre **questões de preços** com a FME Platform, sentindo que é muito caro para equipes menores e indivíduos.

#### What Are Recent G2 Reviews of FME Platform?

**["Automação Poderosa e Fluxo de Trabalho com Integração Rápida"](https://www.g2.com/pt/survey_responses/fme-platform-review-13115305)**

**Rating:** 4.5/5.0 stars

_— Konjengbam M._

[Read full review](https://www.g2.com/pt/survey_responses/fme-platform-review-13115305)

**["FME economiza tempo com poderoso ETL GIS e automação"](https://www.g2.com/pt/survey_responses/fme-platform-review-12863747)**

**Rating:** 4.5/5.0 stars

_— Denise G._

[Read full review](https://www.g2.com/pt/survey_responses/fme-platform-review-12863747)

#### What Are G2 Users Discussing About FME Platform?

- [What does FME stand for in FME Server?](https://www.g2.com/pt/discussions/what-does-fme-stand-for-in-fme-server)
- [Is FME an ETL?](https://www.g2.com/pt/discussions/is-fme-an-etl)
- [What is FME process?](https://www.g2.com/pt/discussions/what-is-fme-process)
- [What is FME software used for?](https://www.g2.com/pt/discussions/what-is-fme-software-used-for)

### [Domo](https://www.g2.com/pt/products/domo/reviews)

A plataforma de Produtos de IA e Dados da Domo capacita as organizações a transformar dados em insights e soluções acionáveis. Ela permite que os usuários conectem de forma integrada diversas fontes de dados, preparem dados para uso e gerem relatórios e visualizações dinâmicas—tudo dentro de uma única interface. Com capacidades de IA e automação integradas, as equipes podem facilmente construir e usar agentes de IA, otimizar fluxos de trabalho e criar soluções personalizadas.

**Average Rating:** 4.3/5.0

**Total Reviews:** 1,038

#### How Do G2 Users Rate Domo?

- **the product tem sido um bom parceiro comercial?:** 8.8/10 (Category avg: 9.1/10)
- **Automação:** 8.5/10 (Category avg: 9.0/10)
- **Escalabilidade:** 7.9/10 (Category avg: 8.7/10)
- **Auditoria:** 7.3/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Domo?

- **Vendedor:** [Domo](https://www.g2.com/pt/sellers/domo)
- **Website da Empresa:** www.domo.com
- **Ano de Fundação:** 2010
- **Localização da Sede:** American Fork, UT
- **Twitter:** @Domotalk  
63,513 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,299 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Analista de Dados, Analista de Negócios
- **Top Industries:** Software de Computador, Marketing e Publicidade
- **Company Size:** 49% Medium, 28% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do Domo, tornando-o acessível para todos, mesmo aqueles que não são familiarizados com tecnologia.
- Os usuários valorizam os **painéis flexíveis** no Domo, permitindo uma visualização de dados perfeita a partir de várias fontes.
- Os usuários acham que o **design intuitivo** do Domo melhora o manuseio de dados e a tomada de decisões, tornando-o acessível para todos os níveis de habilidade.
- Os usuários elogiam o Domo por suas **integrações fáceis** , permitindo conexões de dados sem interrupções e melhorando a eficiência da gestão de dados.
- Os usuários valorizam as capacidades de **integração perfeita** do Domo, melhorando o gerenciamento de dados em várias plataformas e fontes.

##### Cons

- Os usuários acham a **curva de aprendizado desafiadora** com o Domo, muitas vezes exigindo recursos dedicados para gerenciar atualizações e funcionalidades.
- Os usuários enfrentam dificuldades com **recursos ausentes** no Domo, incluindo sistemas desatualizados e capacidades limitadas em visualizações e conectores.
- Os usuários estão frustrados com **problemas de gerenciamento de dados** , incluindo ajustes de upload e má organização de conjuntos de dados no Domo.
- Os usuários acham o Domo **caro** devido aos altos custos associados às funcionalidades e à necessidade de consultoria externa.
- Os usuários acham a **complexidade** do Domo esmagadora, exigindo expertise técnica e uma configuração extensa que complica a experiência do usuário.

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

**["Domo Transforma Relatórios Desconectados em um Scorecard de Vendas Revolucionário"](https://www.g2.com/pt/survey_responses/domo-review-13128007)**

**Rating:** 5.0/5.0 stars

_— Renee G._

[Read full review](https://www.g2.com/pt/survey_responses/domo-review-13128007)

**["Painéis Rápidos e Confiáveis com Conexões de Dados Rápidas no Domo"](https://www.g2.com/pt/survey_responses/domo-review-13150907)**

**Rating:** 4.5/5.0 stars

_— Katie S._

[Read full review](https://www.g2.com/pt/survey_responses/domo-review-13150907)

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

- [Para que serve o Domo?](https://www.g2.com/pt/discussions/what-is-domo-used-for) - 1 comment
- [How much does Domo cost?](https://www.g2.com/pt/discussions/how-much-does-domo-cost)
- [What is Domo data?](https://www.g2.com/pt/discussions/what-is-domo-data)
- [Is Domo any good?](https://www.g2.com/pt/discussions/is-domo-any-good)
- [What does Domo software do?](https://www.g2.com/pt/discussions/what-does-domo-software-do)

### [Fivetran](https://www.g2.com/pt/products/fivetran/reviews)

Fivetran é a base de dados para IA. Uma plataforma move, gerencia e transforma dados de cada aplicação, banco de dados, fluxo de eventos e arquivo que sua empresa utiliza em uma base governada que análises, operações e IA podem atuar. Conectores são implantados em minutos, funcionam automaticamente e se ajustam automaticamente quando uma fonte muda, para que sua equipe de dados gaste seu tempo construindo, não mantendo pipelines.

**Average Rating:** 4.3/5.0

**Total Reviews:** 805

#### How Do G2 Users Rate Fivetran?

- **the product tem sido um bom parceiro comercial?:** 8.6/10 (Category avg: 9.1/10)
- **Automação:** 8.9/10 (Category avg: 9.0/10)
- **Escalabilidade:** 8.5/10 (Category avg: 8.7/10)
- **Auditoria:** 7.3/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Fivetran?

- **Vendedor:** [Fivetran](https://www.g2.com/pt/sellers/fivetran)
- **Website da Empresa:** www.fivetran.com
- **Ano de Fundação:** 2012
- **Localização da Sede:** Oakland, CA
- **Twitter:** @fivetran  
5,767 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,848 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Analista de Dados
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 59% Medium, 27% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** do Fivetran, desfrutando de integração perfeita e manutenção sem esforço após a configuração.
- Os usuários apreciam a **configuração fácil** do Fivetran, tornando simples a integração com aplicações existentes.
- Os usuários valorizam a **fácil integração** do Fivetran, permitindo uma conectividade perfeita com várias aplicações e ferramentas.
- Os usuários valorizam o **suporte ao cliente responsivo** da Fivetran, melhorando sua experiência e satisfação geral.
- Os usuários apreciam o **layout intuitivo e simples** do Fivetran, tornando o gerenciamento de dados fácil e agradável.

##### Cons

- Os usuários enfrentam **problemas de sincronização** com falhas esporádicas e confusão sobre cotas de uso, complicando seu fluxo de trabalho.
- Os usuários observam que o preço do Fivetran é **bastante caro** , o que limita a acessibilidade para muitos usuários potenciais.
- Os usuários enfrentam **problemas de integração** com o Fivetran, especialmente em relação à propriedade do esquema e à modificação eficiente das conexões.
- Os usuários acham a **curva de aprendizado íngreme** , exigindo conhecimento técnico significativo para navegar efetivamente no sistema inicialmente.
- Os usuários consideram as **questões de preços** da Fivetran uma barreira, desejando custos mais baixos e opções mais flexíveis para acessibilidade.

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

**["Pipelines sem código e auto-monitoramento com conectores que simplesmente funcionam"](https://www.g2.com/pt/survey_responses/fivetran-review-13137995)**

**Rating:** 5.0/5.0 stars

_— Umesh ._

[Read full review](https://www.g2.com/pt/survey_responses/fivetran-review-13137995)

**["Integrações de Dados Sem Código Rápidas e Confiáveis com Grande Retorno sobre o Investimento"](https://www.g2.com/pt/survey_responses/fivetran-review-13138238)**

**Rating:** 4.5/5.0 stars

_— Jose Maria P._

[Read full review](https://www.g2.com/pt/survey_responses/fivetran-review-13138238)

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

- [What is Fivetran used for?](https://www.g2.com/pt/discussions/fivetran-what-is-fivetran-used-for) - 1 comment
- [Para que é usado o Censo?](https://www.g2.com/pt/discussions/what-is-census-used-for)
- [Who owns Fivetran?](https://www.g2.com/pt/discussions/who-owns-fivetran)
- [Quanto custa o Fivetran?](https://www.g2.com/pt/discussions/how-much-does-fivetran-cost) - 1 comment
- [O Fivetran é uma ferramenta ETL?](https://www.g2.com/pt/discussions/is-fivetran-an-etl-tool) - 2 comments

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

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial

**Average Rating:** 4.4/5.0

**Total Reviews:** 166

#### How Do G2 Users Rate IBM watsonx.data?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Automation:** 8.3/10 (Category avg: 9.0/10)
- **Scalability:** 8.0/10 (Category avg: 8.7/10)
- **Auditing:** 5.8/10 (Category avg: 8.1/10)

#### Who Is the Company Behind IBM watsonx.data?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **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®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 33% Small, 32% Large

#### What Do G2 Reviewers Say About IBM watsonx.data?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM watsonx.data, finding it reliable and efficient for data management tasks.
- Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics.
- Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly.
- Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects.
- Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making.

##### Cons

- Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data.
- Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies.
- Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects.
- Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations.
- Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics.

#### What Are Recent G2 Reviews of IBM watsonx.data?

**["Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)**

**Rating:** 4.0/5.0 stars

_— Arkajit D._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)

**["Unified Data Management with Learning Curve"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)**

**Rating:** 5.0/5.0 stars

_— Anchal P._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)

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

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

**Average Rating:** 4.7/5.0

**Total Reviews:** 747

#### How Do G2 Users Rate Workato?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Automation:** 9.2/10 (Category avg: 9.0/10)
- **Scalability:** 9.0/10 (Category avg: 8.7/10)
- **Auditing:** 8.3/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Workato?

- **Seller:** [Workato](https://www.g2.com/sellers/workato)
- **Company Website:** www.workato.com
- **Year Founded:** 2013
- **HQ Location:** Mountain View, California
- **Twitter:** @Workato  
3,641 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=229b7e77382a8d2c3a0aeebe68dfc2316ea2caa6dd5d95ed0ee0d08884e6fc88&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675685&secure%5Burl_type%5D=linkedin_company_website)  
1,401 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Medium, 33% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Workato to be **user-friendly and efficient** , allowing easy automation without technical expertise.
- Users love the **easy integrations** offered by Workato, making automation between tools simple and efficient.
- Users value the **ease of integrations** with Workato, appreciating its user-friendly interface and extensive pre-built connectors.
- Users appreciate Workato's **user-friendly design and automation capabilities** , enhancing productivity and simplifying complex workflows.
- Users love the **ease of automation** in Workato, saving hours by effortlessly integrating various tools and systems.

##### Cons

- Users find the **complexity** of Workato daunting, especially regarding terminology and pricing structures that confuse newcomers.
- Users find the **learning curve steep** , with complex workflows and overwhelming onboarding complicating initial use.
- Users express frustration over **data limitations** in Workato, hindering email sends and file transfers for larger tasks.
- Users find the **limited application library** of Workato restrictive, requiring manual setup for less common integrations.
- Users face a **steep learning curve** with Workato, finding onboarding and initial setup quite overwhelming and complex.

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

**["Workato helps us building complex integrations at lightning speed."](https://www.g2.com/survey_responses/workato-review-10305521)**

**Rating:** 5.0/5.0 stars

_— Sreenath B._

[Read full review](https://www.g2.com/survey_responses/workato-review-10305521)

**["The Platform That Grew With Us"](https://www.g2.com/survey_responses/workato-review-12941177)**

**Rating:** 5.0/5.0 stars

_— Anshu b._

[Read full review](https://www.g2.com/survey_responses/workato-review-12941177)

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

- [What does Workato do?](https://www.g2.com/discussions/what-does-workato-do)
- [How much does Workato cost?](https://www.g2.com/discussions/how-much-does-workato-cost) - 1 comment
- [What is a Workato recipe?](https://www.g2.com/discussions/what-is-a-workato-recipe) - 3 comments
- [What is Workato used for?](https://www.g2.com/discussions/what-is-workato-used-for)

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

A Plataforma SnapLogic é uma solução de integração e automação agentic que ajuda equipes empresariais a conectar aplicativos, fontes de dados e APIs, e orquestrar fluxos de trabalho impulsionados por IA em ambientes de nuvem e locais. A SnapLogic está sediada em San Mateo, Califórnia. Fundada em 2006, a empresa atende clientes em diversos setores, incluindo serviços financeiros, farmacêuticos, manufatura, software e educação superior, com escritórios na América do Norte, Europa e Ásia-Pacífico. A plataforma é projetada para equipes de TI, engenheiros de dados e especialistas em integração que precisam mover dados entre sistemas, automatizar processos de negócios e governar a atividade de agentes de IA em escala. Ela suporta casos de uso incluindo integração de aplicativos, gerenciamento de pipelines de dados, gerenciamento do ciclo de vida de APIs, modernização de sistemas legados e orquestração de IA empresarial. \*\*Recursos e capacidades principais da Plataforma SnapLogic incluem:\*\* - Construtor de pipelines visual e de baixo código: Um designer de arrastar e soltar que permite às equipes construir, testar e implantar integrações sem escrever código personalizado, reduzindo a dependência de recursos de desenvolvedores. - Biblioteca de conectores Snaps pré-construídos: Mais de 1.000 conectores reutilizáveis para aplicativos empresariais, bancos de dados, serviços em nuvem e plataformas de dados, configuráveis para padrões de integração simples e complexos. - SnapGPT: Um co-piloto de IA integrado à plataforma que gera pipelines de integração, sugere mapeamentos de dados e auxilia na solução de problemas de pipelines usando entradas de linguagem natural. - Gerenciamento de APIs: Ferramentas para criar, publicar, proteger e monitorar APIs, permitindo que as organizações exponham e consumam serviços de dados em sistemas internos e externos. - Automação de fluxo de trabalho agentic: Capacidades para projetar e orquestrar agentes de IA que executam processos de negócios em várias etapas, com suporte nativo para o Protocolo de Contexto de Modelo (MCP) para gerenciar interações de agentes entre modelos e ferramentas. - Integração e transformação de dados: Suporte para pipelines de dados em lote, em tempo real e em streaming com capacidades de transformação, mapeamento e enriquecimento integradas para dados estruturados e não estruturados. - Monitoramento e governança centralizados: Um painel unificado para rastrear o desempenho de pipelines, gerenciar controles de acesso e manter a auditabilidade em toda a atividade de integração e automação. A Plataforma SnapLogic aborda desafios comuns que as organizações enfrentam ao escalar suas operações tecnológicas: dados fragmentados em sistemas desconectados, altos custos de desenvolvimento de integração e a complexidade de implantar IA em ambientes regulados ou críticos para a missão. Ao fornecer uma plataforma unificada para integração tradicional e automação agentic, ela reduz a dependência de conectores codificados sob medida e permite que as equipes construam e gerenciem integrações sem exigir profundo conhecimento em engenharia de software.

**Average Rating:** 4.4/5.0

**Total Reviews:** 375

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

- **the product tem sido um bom parceiro comercial?:** 8.8/10 (Category avg: 9.1/10)
- **Automação:** 8.6/10 (Category avg: 9.0/10)
- **Escalabilidade:** 8.4/10 (Category avg: 8.7/10)
- **Auditoria:** 8.1/10 (Category avg: 8.1/10)

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

- **Vendedor:** [SnapLogic](https://www.g2.com/pt/sellers/snaplogic)
- **Website da Empresa:** www.snaplogic.com
- **Ano de Fundação:** 2006
- **Localização da Sede:** San Mateo, CA
- **Twitter:** @SnapLogic  
7,348 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Consultor
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **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

- Os usuários apreciam a **facilidade de uso** do SnapLogic, permitindo integração rápida e configuração de pipeline direta.
- Os usuários apreciam as **integrações fáceis** do SnapLogic, beneficiando-se de uma interface amigável e vários conectores.
- Os usuários apreciam as capacidades de **integração perfeita** do SnapLogic IIP, permitindo conexões eficientes entre diversos sistemas.
- Os usuários apreciam a **interface amigável** do SnapLogic, simplificando tarefas e aumentando a produtividade geral.
- Os usuários adoram a **simplicidade da automação** no SnapLogic IIP, permitindo um desenvolvimento mais rápido e processos de integração eficientes.

##### Cons

- Os usuários relatam **problemas de desempenho** com o SnapLogic, especialmente sob cargas de trabalho pesadas e na funcionalidade de balanceamento de carga.
- Os usuários experimentam **desempenho ruim** sob cargas de trabalho pesadas, levando à frustração com a depuração e integrações complexas.
- Os usuários enfrentam **dificuldades técnicas** , incluindo desafios de depuração e quedas de desempenho durante cargas de trabalho pesadas.
- Os usuários acham que a **complexidade de entender Snaps** e rastrear erros é bastante desafiadora no SnapLogic IIP.
- Os usuários relatam **relatórios de erro deficientes** e falta de clareza na depuração, complicando o processo de solução de problemas.

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

**["Integrações super rápidas—economizam muita dor de cabeça com codificação!"](https://www.g2.com/pt/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/pt/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310)

**["Integrações Rápidas e Flexíveis Potencializadas por Snaps Pré-Construídos, Fluxos de Trabalho Visuais e Ótimo Suporte"](https://www.g2.com/pt/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13181168)**

**Rating:** 5.0/5.0 stars

_— aravind k._

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

#### What Are G2 Users Discussing About SnapLogic Intelligent Integration Platform (IIP)?

- [Para que é usada a Plataforma de Integração Inteligente SnapLogic (IIP)?](https://www.g2.com/pt/discussions/what-is-snaplogic-intelligent-integration-platform-iip-used-for) - 1 comment

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

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others.

**Average Rating:** 4.8/5.0

**Total Reviews:** 322

#### How Do G2 Users Rate Skyvia?

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10)
- **Automation:** 9.4/10 (Category avg: 9.0/10)
- **Scalability:** 9.3/10 (Category avg: 8.7/10)
- **Auditing:** 9.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Skyvia?

- **Seller:** [Devart](https://www.g2.com/sellers/devart)
- **Year Founded:** 1997
- **HQ Location:** Wilmington, Delaware, USA
- **Twitter:** @DevartSoftware  
1,736 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, CTO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Small, 42% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Skyvia's **ease of use** remarkable, highlighting its intuitive interface for seamless data integration.
- Users appreciate the **easy integrations** with a low-code interface, making complex data connections effortless and efficient.
- Users highlight the **easy setup** of Skyvia, finding it intuitive and hassle-free for seamless data integration.
- Users find the **initial setup easy** , enabling quick integrations without requiring coding skills or developer involvement.
- Users appreciate the **easy integrations** Skyvia offers, enabling quick connections across multiple systems effortlessly and intuitively.

##### Cons

- Users highlight a need for **expanded documentation and more detailed logs** to improve troubleshooting and job tracking.
- Users find the **difficult setup** of Skyvia challenging due to its outdated interface and complex configurations.
- Users find the **learning curve steep** due to complex configurations and a dense interface that requires time to master.
- Users find the **poor documentation** of Skyvia lacking real-world examples, making integrations more complex and less intuitive.
- Users find the **setup difficulty** with Skyvia can be complex, requiring time and effort for configuration and field mapping.

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

**["Easy, No-Code Data Sync Setup with Straightforward Pricing"](https://www.g2.com/survey_responses/skyvia-review-12828558)**

**Rating:** 5.0/5.0 stars

_— Emily C._

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

**["Straightforward, Reliable Data Sync Between Cloud Apps and Databases"](https://www.g2.com/survey_responses/skyvia-review-12843850)**

**Rating:** 5.0/5.0 stars

_— Marcus W._

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

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

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

### [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

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

Azure Data Factory (ADF) é um serviço de integração de dados totalmente gerenciado e sem servidor, projetado para simplificar o processo de ingestão, preparação e transformação de dados de fontes diversas. Ele permite que as organizações construam e orquestrem fluxos de trabalho de Extração, Transformação, Carga (ETL) e Extração, Carga, Transformação (ELT) em um ambiente sem código, facilitando o movimento e a transformação de dados entre sistemas locais e baseados em nuvem. Principais Recursos e Funcionalidades: - Conectividade Extensa: ADF oferece mais de 90 conectores integrados, permitindo a integração com uma ampla gama de fontes de dados, incluindo bancos de dados relacionais, sistemas NoSQL, aplicativos SaaS, APIs e serviços de armazenamento em nuvem. - Transformação de Dados Sem Código: Utilizando fluxos de dados de mapeamento alimentados pelo Apache Spark™, o ADF permite que os usuários realizem transformações de dados complexas sem escrever código, simplificando o processo de preparação de dados. - Rehospedagem de Pacotes SSIS: As organizações podem facilmente migrar e estender seus pacotes existentes do SQL Server Integration Services (SSIS) para a nuvem, alcançando economias significativas de custos e escalabilidade aprimorada. - Escalável e Econômico: Como um serviço sem servidor, o ADF escala automaticamente para atender às demandas de integração de dados, oferecendo um modelo de preços pay-as-you-go que elimina a necessidade de investimentos iniciais em infraestrutura. - Monitoramento e Gerenciamento Abrangentes: O ADF fornece ferramentas robustas de monitoramento, permitindo que os usuários acompanhem o desempenho dos pipelines, configurem alertas e garantam a operação eficiente dos fluxos de trabalho de dados. Valor Principal e Soluções para Usuários: O Azure Data Factory aborda as complexidades da integração de dados moderna, fornecendo uma plataforma unificada que conecta fontes de dados díspares, automatiza fluxos de trabalho de dados e facilita transformações de dados avançadas. Isso capacita as organizações a derivar insights acionáveis de seus dados, aprimorar os processos de tomada de decisão e acelerar iniciativas de transformação digital. Ao oferecer um ambiente escalável, econômico e sem código, o ADF reduz a carga operacional nas equipes de TI e permite que engenheiros de dados e analistas de negócios se concentrem em entregar valor por meio de estratégias orientadas por dados.

**Average Rating:** 4.6/5.0

**Total Reviews:** 95

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

- **the product tem sido um bom parceiro comercial?:** 9.1/10 (Category avg: 9.1/10)
- **Automação:** 9.2/10 (Category avg: 9.0/10)
- **Escalabilidade:** 9.1/10 (Category avg: 8.7/10)
- **Auditoria:** 8.4/10 (Category avg: 8.1/10)

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

- **Vendedor:** [Microsoft](https://www.g2.com/pt/sellers/microsoft)
- **Ano de Fundação:** 1975
- **Localização da Sede:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®
- **Propriedade:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Engenheiro de Software
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 60% Large, 30% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários adoram as capacidades de **integração de dados sem interrupções** do Azure Data Factory, simplificando fluxos de trabalho complexos e aumentando a produtividade.
- Os usuários valorizam a **facilidade de uso** do Azure Data Factory, simplificando a integração de dados com sua interface visual de baixo código.
- Os usuários apreciam a **conectividade perfeita** do Azure Data Factory para integrar diversas fontes de dados com codificação mínima.
- Os usuários valorizam as **capacidades de integração perfeita** do Azure Data Factory, simplificando fluxos de trabalho de dados complexos em várias fontes.
- Os usuários valorizam a **escalabilidade** do Azure Data Factory, permitindo-lhes gerenciar e integrar facilmente vastas fontes de dados.

##### Cons

- Os usuários acham a **dificuldade de depuração** no Azure Data Factory frustrante, especialmente para pipelines complexos e resolução de falhas.
- Os usuários acham **difícil depurar** com o Azure Data Factory, muitas vezes enfrentando desafios para solucionar problemas em pipelines complexos de forma eficaz.
- Os usuários acham o Azure Data Factory **caro** devido aos custos imprevisíveis associados às execuções de pipelines e movimentações de dados.
- Os usuários acham que as **limitações de recursos** do Azure Data Factory dificultam sua capacidade de monitorar e integrar eficientemente com o Power BI.
- Os usuários acham a **complexidade e as limitações** do Azure Data Factory desafiadoras, especialmente ao depurar e gerenciar fluxos de trabalho complexos.

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

**["Integração de Dados Intuitiva e Escalável com o Azure Data Factory"](https://www.g2.com/pt/survey_responses/azure-data-factory-review-12454264)**

**Rating:** 4.5/5.0 stars

_— Alan R._

[Read full review](https://www.g2.com/pt/survey_responses/azure-data-factory-review-12454264)

**["Arrastar e Soltar de Baixo Código que Facilita o Desenvolvimento para Desenvolvedores e Usuários de Negócios"](https://www.g2.com/pt/survey_responses/azure-data-factory-review-12746463)**

**Rating:** 4.5/5.0 stars

_— Shyam s._

[Read full review](https://www.g2.com/pt/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/pt/discussions/is-azure-data-factory-an-etl-tool) - 2 comments
- [What are the additional capabilities of data Factory?](https://www.g2.com/pt/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/pt/discussions/which-3-types-of-activities-can-you-run-in-microsoft-azure-data-factory)
- [What does Azure data/factory do?](https://www.g2.com/pt/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

### [5X](https://www.g2.com/products/5x/reviews)

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

**Average Rating:** 4.9/5.0

**Total Reviews:** 81

#### How Do G2 Users Rate 5X?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Automation:** 9.5/10 (Category avg: 9.0/10)
- **Scalability:** 9.5/10 (Category avg: 8.7/10)
- **Auditing:** 9.4/10 (Category avg: 8.1/10)

#### Who Is the Company Behind 5X?

- **Seller:** [5X](https://www.g2.com/sellers/5x)
- **Year Founded:** 2020
- **HQ Location:** San Francisco
- **Twitter:** @DataWith5x  
49 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=123d4698fdf0b6036b49dc7dd7e99f12fd6c91a432ee93cdc153ec13a4d274d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatawith5x%2F&secure%5Burl_type%5D=linkedin_company_website)  
111 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 56% Medium, 40% Small

#### What Do G2 Reviewers Say About 5X?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of 5X, appreciating its intuitive interface and seamless integration with existing tools.
- Users appreciate the **responsive customer support** of 5X, which quickly addresses inquiries and implements requested features.
- Users praise 5X for its **seamless integration capabilities** , enhancing workflow automation and simplifying data management across platforms.
- Users value the **easy integrations** of 5X, enhancing their data ingestion and overall operational efficiency effortlessly.
- Users praise 5X for its **intuitive design and integrated capabilities** , facilitating efficient data management and seamless workflows.

##### Cons

- Users find a **steep learning curve** with 5X initially, but training helps to ease the transition.
- Users find the **complex setup** of 5X challenging, often requiring additional support for successful deployment.
- Users find a **steep learning curve** initially, requiring enablement sessions to ease into the platform's complexity.
- Users find the **difficult setup** of 5X to be time-consuming, requiring extensive learning and support for complex integrations.
- Users note **feature limitations** as some advanced tools are still in development, affecting overall functionality and workflows.

#### What Are Recent G2 Reviews of 5X?

**["A reliable and scalable data partner"](https://www.g2.com/survey_responses/5x-review-11889175)**

**Rating:** 5.0/5.0 stars

_— Varinderjit K._

[Read full review](https://www.g2.com/survey_responses/5x-review-11889175)

**["Exceptional Support and User-Friendly Platform Driving Our Data Transformation"](https://www.g2.com/survey_responses/5x-review-11903408)**

**Rating:** 4.0/5.0 stars

_— Shuming F._

[Read full review](https://www.g2.com/survey_responses/5x-review-11903408)

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- [Big Data Integration Platforms](/categories/big-data-integration-platforms)
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- [Enterprise Service Bus (ESB)](/categories/enterprise-service-bus-esb)
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[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 April 9, 2026

ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading.

### Core Capabilities of ETL Tools

To qualify for inclusion in the ETL category, a product must:

- Facilitate extract, transform, and load processes
- Transform data for quality or visualization
- Audit or record integration data
- Archive data for backup, future reference, or analysis

### Common Use Cases for ETL Tools

Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include:

- Replicating data from source systems into [data warehouses](https://www.g2.com/categories/data-warehouse) for centralized analytics
- Cleansing and transforming raw data into structured, queryable formats
- Building visual data workflows to automate recurring data transfer and integration processes

### How ETL Tools Differ from Other Tools

ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While [data integration tools](https://www.g2.com/categories/data-integration-tools) cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities.

### Insights from G2 on ETL Tools

Based on category trends on G2, visual workflow builders and pre-built connectors stand out as standout features. These platforms deliver reductions in manual data preparation time and improved data quality as core benefits of ETL adoption.

Top Tools at a Glance

| 

 | 

Unified lakehouse pipelines with governance and ML workflows

 | 

User Review

"Reliable Platform for Building Scalable Data Pipelines"

 |
| 

 | 

NetSuite-centered app integration and sync

 | 

User Review

"Seamless Integration with Exceptional Support"

 |
| 

 | 

Drag-and-drop data prep and reporting automation

 | 

User Review

"Scales Operations and Saves Time with Automated Data Workflows"

 |
| 

 | 

Serverless analytics on large cloud datasets

 | 

User Review

"Easy-to-Use Cloud Tool with Shareable, Saved Queries"

 |
| 

 | 

Geospatial and multi-format data transformation

 | 

User Review

"Powerful Automation and Workflow with Fast Onboarding"

 |
| 

 | 

Self-service ETL feeding business dashboards

 | 

User Review

"Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"

 |
| 

 | 

Managed connector-based data ingestion

 | 

User Review

"No-Code, Self-Monitoring Pipelines with Connectors That Just Work"

 |
| 

 | 

Lakehouse querying across object storage

 | 

User Review

"Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve"

 |
| 

 | 

Low-code workflow automation across SaaS apps

 | 

User Review

"Workato helps us building complex integrations at lightning speed."

 |
| 

 | 

Visual enterprise integration across complex systems

 | 

User Review

"Super fast integrations—saves tons of coding headache!"

 |

* * *

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