# Best Enterprise ETL Tools - Page 2

## How Many ETL Tools Products Does G2 Track?

**Total Products under this Category:** 255

### Category Stats (Jul 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: July 28, 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
- 255+ 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=989&focus%5B%5D=6073&focus%5B%5D=69889&focus%5B%5D=52204&focus%5B%5D=40849&focus%5B%5D=604&focus%5B%5D=1308796)

Highlighted products: Databricks, Alteryx, Google Cloud BigQuery, IBM StreamSets, Azure Data Factory, AWS Glue, 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=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-streamsets&focus%5B%5D=azure-data-factory&focus%5B%5D=aws-glue&focus%5B%5D=domo&focus%5B%5D=ibm-watsonx-data&segment=enterprise)

**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&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-07-30T11%3A06%3A19Z&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%2Fenterprise%3Fpage%3D2%26segment%3Denterprise&secure%5Btoken%5D=cde0e160ad9c2d9524949d14147d1dc4e81a5a5e4277025e62f7c36a0916e8a9&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)

### [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews)

Informatica PowerCenter® helps you unleash the value of your data. It offers a unique end-to-end data integration platform, with a broad set of capabilities to integrate raw, fragmented data from disparate sources, transforming it into complete, high-quality, business-ready information. As your environment grows and matures, PowerCenter scales to meet your expanding business needs, data volumes, and complexity, while providing insights to IT and the business

**Average Rating:** 4.3/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate Informatica PowerCenter?

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

#### Who Is the Company Behind Informatica PowerCenter?

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 employees on LinkedIn®
- **Ownership:** NYSE: INFA

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Insurance
- **Company Size:** 79% Large, 16% Medium

#### What Do G2 Reviewers Say About Informatica PowerCenter?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automation** capabilities of Informatica PowerCenter, simplifying ETL processes and minimizing manual coding requirements.
- Users appreciate the **ability to integrate data from multiple sources** with Informatica PowerCenter, enhancing their data management efficiency.
- Users value the **easy-to-use interface** of Informatica PowerCenter, simplifying ETL processes without extensive coding requirements.
- Users appreciate the **user-friendly interface** of Informatica PowerCenter, making ETL processes simple and efficient.
- Users appreciate the **drag and drop feature** of Informatica PowerCenter, making ETL processes intuitive and user-friendly.

##### Cons

- Users find Informatica PowerCenter to be **expensive** , burdened by high licensing and maintenance costs alongside complex infrastructure needs.
- Users experience **integration issues** with Spark and Python, complicating setups and limiting functionality in cloud environments.
- Users face challenges due to **cloud dependency** , hindering integration and scalability in modern environments.
- Users find the **complexity of accessing workflow parameters** cumbersome, impacting their overall experience with PowerCenter.
- Users find **complex management** burdensome due to high costs, resource demands, and lack of cloud integration support.

#### What Are Recent G2 Reviews of Informatica PowerCenter?

**["Robust Data Integration with Steep Setup"](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)**

**Rating:** 4.0/5.0 stars

_— Nihal R._

[Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)

**["Streamlined Data Integration with Intuitive Drag-and-Drop"](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)**

**Rating:** 4.5/5.0 stars

_— Vallabh P._

[Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)

#### What Are G2 Users Discussing About Informatica PowerCenter?

- [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/informatica-powercenter-what-is-informatica-powercenter-used-for) - 1 comment
- [What are objects in Informatica?](https://www.g2.com/discussions/what-are-objects-in-informatica)
- [What is Informatica platform?](https://www.g2.com/discussions/what-is-informatica-platform)
- [What are the different components of Informatica PowerCenter?](https://www.g2.com/discussions/what-are-the-different-components-of-informatica-powercenter)
- [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/what-is-informatica-powercenter-used-for)

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

FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, or stream processing, FME delivers you no-code business orchestration and automation. All Data Locations - Wherever your data is - in the cloud, on-premises, or both - FME matches your data landscape with processing, increasing scalability, agility, and security. All Data Types - From databases to business systems to IoT, you name it, we connect it. As the only integration platform with support for spatial data, FME delivers new insights so you can make better decisions and stay ahead of the competition. Any AI Technology - Power your workflows with the right data at the right time regardless of modality, location or data velocity. FME powers real-time, context-aware automation, scaling AI where and how you need it.

**Average Rating:** 4.6/5.0

**Total Reviews:** 132

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

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

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

- **Seller:** [Safe Software](https://www.g2.com/sellers/safe-software)
- **Company Website:** fme.safe.com
- **Year Founded:** 1993
- **HQ Location:** British Columbia, Canada
- **Twitter:** @SafeSoftware  
4,972 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/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 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, GIS Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 48% Medium, 27% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **user-friendly interface** of FME Platform, making data workflows simple and efficient to manage.
- Users appreciate the **seamless data handling and integration** of FME Platform, enhancing workflow automation and efficiency.
- Users value the **automation capabilities** of FME Platform, significantly boosting productivity and streamlining data workflows.
- Users praise FME Platform for its **exceptional interoperability** , efficiently transforming diverse data formats in automation workflows.
- Users value the **flexible data transformation capabilities** of FME Platform, enhancing their workflow with impressive automation and interoperability.

##### Cons

- Users struggle with the **complexity** of FME Platform, particularly in automation and UI navigation during high-pressure situations.
- Users express concern over the **expensive pricing model** of FME Platform, making it challenging for smaller teams to invest.
- Users struggle with a **steep learning curve** , finding the UI daunting and onboarding others a significant challenge.
- Users find the **steep learning curve** of FME Platform challenging, making navigation and understanding the software difficult.
- Users express concerns about **pricing issues** with FME Platform, feeling it's too expensive for smaller teams and individuals.

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

**["Powerful Automation and Workflow with Fast Onboarding"](https://www.g2.com/survey_responses/fme-platform-review-13115305)**

**Rating:** 4.5/5.0 stars

_— Konjengbam M._

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

**["FME Saves Time with Powerful GIS ETL and Automation"](https://www.g2.com/survey_responses/fme-platform-review-12863747)**

**Rating:** 4.5/5.0 stars

_— Denise G._

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

### [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews)

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

**Average Rating:** 4.3/5.0

**Total Reviews:** 101

#### How Do G2 Users Rate Informatica Cloud Data Integration?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Automation:** 9.1/10 (Category avg: 9.0/10)
- **Scalability:** 8.9/10 (Category avg: 8.7/10)
- **Auditing:** 8.7/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Informatica Cloud Data Integration?

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Company Website:** www.informatica.com
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 30% Medium

#### What Do G2 Reviewers Say About Informatica Cloud Data Integration?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Informatica Cloud Data Integration, thanks to its intuitive interface and drag-and-drop features.
- Users appreciate the **efficiency** of Informatica Cloud Data Integration, enabling seamless and dependable data transfers effortlessly.
- Users appreciate the **robust connectivity and ease of use** in Informatica Cloud Data Integration for efficient ETL processes.
- Users appreciate the **time-saving capability** of Informatica Cloud Data Integration, allowing efficient access without installations.
- Users appreciate the **automation capabilities** of Informatica Cloud Data Integration, streamlining their data workflows efficiently.

##### Cons

- Users find the **complexity of setup and configuration** challenging, especially for newcomers to the platform.
- Users find the **complex usability** of Informatica Cloud Data Integration challenging, especially for newcomers navigating the platform.
- Users find **debugging difficult** with Informatica Cloud Data Integration, as it often requires extra effort and complexity.
- Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers unfamiliar with the platform.
- Users face **weird error messages** while working on mappings, and limited tutorials hinder troubleshooting efforts.

#### What Are Recent G2 Reviews of Informatica Cloud Data Integration?

**["Reliable Cloud ETL for Scalable Data Integration"](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993)**

**Rating:** 4.5/5.0 stars

_— Akshat G._

[Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993)

**["Simplifies Data Integration with Powerful Tools"](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745)**

**Rating:** 4.0/5.0 stars

_— Vallabh P._

[Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745)

#### What Are G2 Users Discussing About Informatica Cloud Data Integration?

- [What is your experience regarding pricing and costs for Informatica Cloud Data Integration, and how does it compare to other ETL tools?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-informatica-cloud-data-integration-and-how-does-it-compare-to-other-etl-tools)
- [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud-7e364663-ec1e-4fca-9c65-4b962f135858)
- [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud)
- [What is Informatica CDI?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-informatica-cdi)
- [What is Informatica CDI?](https://www.g2.com/discussions/what-is-informatica-cdi)

### [ILUM](https://www.g2.com/products/ilum-ilum/reviews)

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

**Average Rating:** 4.9/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate ILUM?

- **Has the product been a good partner in doing business?:** 9.7/10 (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 ILUM?

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** ilum.cloud
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud  
19 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1fbd1d37d0b9f349ede11be8e26481a08073e5b7f53b306080db734d9789f8fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Filum-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Telecommunications
- **Company Size:** 52% Large, 35% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of ILUM, enjoying seamless integration and a smooth workflow for managing data.
- Users value the **seamless integration** of ILUM with existing systems, enhancing efficiency in data management and analytics.
- Users appreciate the **seamless integrations** of ILUM, enhancing data management and analytics with a unified, efficient platform.
- Users value the **quick and seamless setup** of ILUM, appreciating its ease of integration and efficiency.
- Users appreciate the **easy integrations** of ILUM, smoothly fitting into existing systems without major rewrites.

##### Cons

- Users find the **complex setup** for advanced configurations of ILUM can be challenging for newcomers to navigate.
- Users find the **difficult setup** process of ILUM challenging, requiring significant effort and experimentation to optimize configurations.
- Users find the **learning curve steep** for advanced features in ILUM, requiring time to adapt and configure settings.
- Users note that **UI improvements** are needed for easier access to advanced settings and configurations in ILUM.
- Users find some aspects of ILUM's setup **complex and unintuitive** , requiring considerable effort to configure effectively.

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

**["From Hadoop to K8s with lower TCO"](https://www.g2.com/survey_responses/ilum-review-11862422)**

**Rating:** 5.0/5.0 stars

_— Mark D._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11862422)

**["Seamless Integration and Unified Features for Advanced Users"](https://www.g2.com/survey_responses/ilum-review-11904273)**

**Rating:** 5.0/5.0 stars

_— Jan L._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11904273)

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

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 312

#### How Do G2 Users Rate Adverity?

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

#### Who Is the Company Behind Adverity?

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

**["Adverity’s Flexible Dashboards and Powerful Multi-Source Analytics"](https://www.g2.com/survey_responses/adverity-review-12834123)**

**Rating:** 4.5/5.0 stars

_— Franziska K._

[Read full review](https://www.g2.com/survey_responses/adverity-review-12834123)

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

**Rating:** 4.0/5.0 stars

_— Ramin T._

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

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

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

### [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews)

Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence.

**Average Rating:** 4.3/5.0

**Total Reviews:** 92

#### How Do G2 Users Rate Talend Cloud Data Integration?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10)
- **Automation:** 8.7/10 (Category avg: 9.0/10)
- **Scalability:** 8.8/10 (Category avg: 8.7/10)
- **Auditing:** 8.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Talend Cloud Data Integration?

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

#### Who Uses This Product?

- **Who Uses This:** Software Analyst, Data Engineer
- **Top Industries:** Pharmaceuticals, Information Technology and Services
- **Company Size:** 64% Large, 30% Medium

#### What Are Recent G2 Reviews of Talend Cloud Data Integration?

**["Talend Application Used for past 5 years - Great Experience"](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)**

**Rating:** 5.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)

**["A great tool that makes data integration easy."](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)**

**Rating:** 4.5/5.0 stars

_— Verle P._

[Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)

#### What Are G2 Users Discussing About Talend Cloud Data Integration?

- [What do you like most about Talend Cloud Data Integration, and how has it improved your ETL processes?](https://www.g2.com/discussions/what-do-you-like-most-about-talend-cloud-data-integration-and-how-has-it-improved-your-etl-processes)
- [What is Talend Cloud Data Integration used for?](https://www.g2.com/discussions/what-is-talend-cloud-data-integration-used-for)
- [What does Talend software do?](https://www.g2.com/discussions/talend-cloud-data-integration-what-does-talend-software-do)
- [What is Talend data fabric?](https://www.g2.com/discussions/what-is-talend-data-fabric)
- [What is Talend Integration Cloud?](https://www.g2.com/discussions/what-is-talend-integration-cloud)

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

Frends is a European low-code integration platform as a service (iPaaS) that enables organizations to connect applications, automate workflows, and manage APIs across cloud and on-premises environments. Designed for both developers and business technologists, Frends helps streamline system communication, reduce integration complexity, and support real-time operations. The platform supports a wide range of use cases including ERP modernization, cloud migration, business process automation, and data synchronization between legacy and modern systems. With a graphical interface based on BPMN 2.0 and built-in AI capabilities, Frends makes it easier to build, monitor, and manage integration processes without heavy reliance on custom code. Frends is built on Microsoft .NET and integrates natively with a wide range of systems including Microsoft Dynamics, Salesforce, SAP, and various industry-specific tools. Frends is used across industries such as public sector, utilities, manufacturing, finance, and retail. It is particularly suited for IT teams seeking to unify integration, automation, and API management into a single tool while maintaining compliance and security in distributed environments. Key capabilities include: - Building and managing integrations visually with BPMN 2.0 to accelerate development and collaboration - Automating business processes and system tasks with reusable, scalable workflows - Monitoring integrations in real-time to reduce downtime and improve operational visibility - Managing APIs and connections securely with full version control and access management - Leveraging AI assistance to configure integrations, generate documentation, and streamline onboarding --- Frends has been recognized in the Gartner® Magic Quadrant™ for Enterprise iPaaS and ranks consistently as a G2 High Performer across usability, setup, and implementation. The platform enables faster time-to-value, reduces reliance on custom development, and gives teams the tools to adapt quickly to change, making it a preferred integration solution for organizations in Europe and beyond.

**Average Rating:** 4.5/5.0

**Total Reviews:** 139

#### How Do G2 Users Rate Frends?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 9.3/10 (Category avg: 9.0/10)
- **Scalability:** 9.2/10 (Category avg: 8.7/10)
- **Auditing:** 8.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Frends?

- **Seller:** [FRENDS](https://www.g2.com/sellers/frends)
- **Company Website:** frends.com
- **Year Founded:** 1988
- **HQ Location:** Espoo, Uusimaa, Finland
- **Twitter:** @FRENDSplatform  
214 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a3eb44098efa62d98f886bc6057adbef871c302acb0b017f637f0b0a10cd6784&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffrends-app%2F&secure%5Burl_type%5D=linkedin_company_website)  
309 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Oil & Energy
- **Company Size:** 54% Medium, 26% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Frends to be **highly intuitive and user-friendly** , making onboarding and integration a smooth experience.
- Users value the **visualization of automation pipelines** in Frends, enhancing the ease of integration and monitoring.
- Users value Frends for its **effective integrations** , enhanced by AI tools, collaboration, and user-friendly architecture.
- Users value the **easy integrations** of Frends, simplifying system connections and enhancing collaborative development efforts.
- Users love the **user-friendly interface** of Frends, simplifying integration processes and enhancing overall management and oversight.

##### Cons

- Users find the **missing features** of Frends, such as better documentation and more integrations, frustratingly limiting.
- Users note that there is still **room for usability improvements** in Frends, particularly with environment variables and error clarity.
- Users note the **limited features** of Frends, wishing for enhancements like interactive development and better logging options.
- Users find that **difficult learning** curves hinder new users' understanding, complicated by vague error messages and complex integrations.
- Users find **integration issues** challenging with confusing notations and restrictive GUI, complicating more complicated processes.

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

**["Powerful Integration Tool with Easy Setup"](https://www.g2.com/survey_responses/frends-review-7497955)**

**Rating:** 5.0/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/frends-review-7497955)

**["Effortless Integration with Superior Debugging"](https://www.g2.com/survey_responses/frends-review-10792154)**

**Rating:** 4.5/5.0 stars

_— Riika A._

[Read full review](https://www.g2.com/survey_responses/frends-review-10792154)

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

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

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

Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep dives in a few clicks. From questions to insights in minutes. With Clarisights, performance marketers can move freely with data to iterate fast and accelerate testing cycles. Without relying on SQL, waiting for data teams or manual reporting in spreadsheets. Trusted by the most sophisticated Marketing teams, including those at Uber, Delivery Hero, HelloFresh, About You, and On.

**Average Rating:** 4.9/5.0

**Total Reviews:** 63

#### How Do G2 Users Rate Clarisights?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Automation:** 9.8/10 (Category avg: 9.0/10)
- **Scalability:** 9.7/10 (Category avg: 8.7/10)
- **Auditing:** 9.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Clarisights?

- **Seller:** [Clarisights](https://www.g2.com/sellers/clarisights)
- **Year Founded:** 2018
- **HQ Location:** Lewes, US
- **Twitter:** @Clarisights  
1,117 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2ff29c42ace6f01adaf1d05cea4acad0e18b7ac30778cf2a45e6132a23047894&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fclarisights%2F&secure%5Burl_type%5D=linkedin_company_website)  
32 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Apparel & Fashion, Consumer Goods
- **Company Size:** 79% Large, 17% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Clarisights to be **intuitive and easy to use** , enabling efficient reporting and data analysis effortlessly.
- Users find Clarisights **efficient and intuitive** , allowing seamless analysis and collaboration across various reporting needs.
- Users value the **intuitive functionality** of Clarisights, enabling easy report building and efficient cross-channel analysis.
- Users value the **centralized data management** in Clarisights, enhancing decision-making and collaboration across teams effortlessly.
- Users value Clarisights for its **intuitive and flexible reporting** , enabling quick insights and easy data exploration.

##### Cons

- Users face **integration issues** with Clarisights, causing difficulties but supported by the team’s efforts to assist.
- Users notice a **slight learning curve** with Clarisights, particularly for those transitioning from spreadsheets.
- Users face **technical issues with campaign renaming** , complicating the integration process despite excellent accountant support.
- Users face **data limitations** that hinder deeper insights and granular analysis of advertising performance.
- Users find a **lack of customization** in Clarisights limits deeper insights and granular analysis capabilities.

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

**["Reliable, comprehensive marketing analytics platform for effective self-service"](https://www.g2.com/survey_responses/clarisights-review-10733401)**

**Rating:** 5.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/clarisights-review-10733401)

**["A tool that provides very powerful view for our marketing data"](https://www.g2.com/survey_responses/clarisights-review-11350982)**

**Rating:** 5.0/5.0 stars

_— Angela T._

[Read full review](https://www.g2.com/survey_responses/clarisights-review-11350982)

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

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 287

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

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

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

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

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 49% Medium, 40% Small

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

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

**Rating:** 4.5/5.0 stars

_— Verified User in Marketing and Advertising_

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

**["Hevo makes making data pipelines a breeze"](https://www.g2.com/survey_responses/hevo-data-review-13074537)**

**Rating:** 4.0/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/hevo-data-review-13074537)

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

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

### [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 102

#### How Do G2 Users Rate KNIME?

- **Has the product been a good partner in doing business?:** 8.5/10 (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 KNIME?

- **Seller:** [KNIME](https://www.g2.com/sellers/knime)
- **Company Website:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
244 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 42% Large, 33% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly.
- Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly.
- Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly.
- Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development.
- Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand.

##### Cons

- Users find the **initial learning curve challenging** , especially for those new to data science and visual programming.
- Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files.
- Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files.
- Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility.
- Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities.

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

**["KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI"](https://www.g2.com/survey_responses/knime-review-12992618)**

**Rating:** 5.0/5.0 stars

_— Guylaine B._

[Read full review](https://www.g2.com/survey_responses/knime-review-12992618)

**["KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals"](https://www.g2.com/survey_responses/knime-review-12976842)**

**Rating:** 5.0/5.0 stars

_— Charm M._

[Read full review](https://www.g2.com/survey_responses/knime-review-12976842)

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

- [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for)
- [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment
- [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics)
- [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good)
- [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform)

### [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews)

Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset.

**Average Rating:** 4.4/5.0

**Total Reviews:** 151

#### How Do G2 Users Rate Alteryx Designer Cloud?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 9.0/10)
- **Scalability:** 8.7/10 (Category avg: 8.7/10)
- **Auditing:** 8.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Alteryx Designer Cloud?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **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®
- **Ownership:** Private

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Hospital & Health Care
- **Company Size:** 35% Large, 35% Small

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

**["Great way to trick people into learning relational algebra"](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)**

**Rating:** 4.5/5.0 stars

_— Alexander D._

[Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)

**["The Inovation is comming"](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)**

**Rating:** 4.0/5.0 stars

_— Carlos Alexandre T._

[Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)

#### What Are G2 Users Discussing About Alteryx Designer Cloud?

- [What are data wrangling tools?](https://www.g2.com/discussions/what-are-data-wrangling-tools)
- [Which of the following data sources does Trifacta Enterprise Support?](https://www.g2.com/discussions/which-of-the-following-data-sources-does-trifacta-enterprise-support)
- [Is Trifacta an ETL tool?](https://www.g2.com/discussions/is-trifacta-an-etl-tool) - 1 comment
- [What is Trifacta used for?](https://www.g2.com/discussions/what-is-trifacta-used-for)

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

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 816

#### How Do G2 Users Rate Supermetrics?

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

#### Who Is the Company Behind Supermetrics?

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

**["Efficient, Reliable Data Integration and Brilliant Reporting"](https://www.g2.com/survey_responses/supermetrics-review-12588126)**

**Rating:** 4.5/5.0 stars

_— Stefano P._

[Read full review](https://www.g2.com/survey_responses/supermetrics-review-12588126)

**["Makes My Data Studio Reports A Lot More Meaningful"](https://www.g2.com/survey_responses/supermetrics-review-5397555)**

**Rating:** 5.0/5.0 stars

_— Trevor I._

[Read full review](https://www.g2.com/survey_responses/supermetrics-review-5397555)

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

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

### [Oracle Data Integrator](https://www.g2.com/products/oracle-data-integrator/reviews)

Oracle Data Integrator (on-premises & Cloud Service) - a high-Performance Bulk Data Movement and Data Transformation. Delivers unique next-generation, extract load and transform (ELT) technology that improves performance and reduces data integration costs—even across heterogeneous systems. o ELT architecture for improved performance and lower TCO o Heterogeneous platform support for enterprise data integration o Knowledge modules for optimized developer productivity and extensibility o Service-oriented data integration and management for SOA environments Link - https://www.oracle.com/middleware/data-integration/enterprise-edition/ Datasheet – http://www.oracle.com/us/products/middleware/data-integration/odi-ee-ds-2030747.pdf Documentation https://www.oracle.com/technetwork/middleware/data-integrator/documentation/index.html#11.1.1.5 Webcast Supercharge your data integration DIPC https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=https%3A%2F%2Fwww.oracle.com%2Fmiddleware%2Fdata-integration%2Fenterprise-edition%2Fresources.html&eventid=1545759&sessionid=1&key=E89B634077F2FF8700223E6E1A49A54E&regTag=&sourcepage=register

**Average Rating:** 4.0/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Oracle Data Integrator?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.1/10)
- **Automation:** 8.9/10 (Category avg: 9.0/10)
- **Scalability:** 8.8/10 (Category avg: 8.7/10)
- **Auditing:** 7.8/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Oracle Data Integrator?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Company Size:** 80% Large, 20% Medium

#### What Are Recent G2 Reviews of Oracle Data Integrator?

**["Powerful ELT Architecture and Reusable Knowledge Modules That Speed Development"](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188)**

**Rating:** 4.0/5.0 stars

_— Simone B._

[Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188)

**["ODI- Very efficient and highly flexible"](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676)**

**Rating:** 5.0/5.0 stars

_— Amit N._

[Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676)

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

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

**Average Rating:** 4.3/5.0

**Total Reviews:** 72

#### How Do G2 Users Rate CloverDX?

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

#### Who Is the Company Behind CloverDX?

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

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

##### Cons

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

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

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

**Rating:** 5.0/5.0 stars

_— Verified User in Consulting_

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

**["Customizable Pipelines, Easy Setup with CloverDX"](https://www.g2.com/survey_responses/cloverdx-review-10657839)**

**Rating:** 4.5/5.0 stars

_— Pavlo T._

[Read full review](https://www.g2.com/survey_responses/cloverdx-review-10657839)

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

- [How much does CloverDX cost?](https://www.g2.com/discussions/how-much-does-cloverdx-cost) - 1 comment
- [Is CloverDX open source?](https://www.g2.com/discussions/is-cloverdx-open-source) - 1 comment
- [How do you use CloverDX?](https://www.g2.com/discussions/how-do-you-use-cloverdx)

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

Flowgear is an Integration Development Environment that enables teams to build, run, and govern business integrations across cloud, hybrid, and on-premises systems. Acting as a durable integration layer, Flowgear governs how AI securely interacts with business systems through scoped tools, approved connections, comprehensive logging, diagnostics, and controlled execution, helping organizations accelerate automation while maintaining visibility, security, and governance.

**Average Rating:** 4.5/5.0

**Total Reviews:** 130

#### How Do G2 Users Rate Flowgear?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Automation:** 8.7/10 (Category avg: 9.0/10)
- **Scalability:** 8.6/10 (Category avg: 8.7/10)
- **Auditing:** 7.2/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Flowgear?

- **Seller:** [Flowgear](https://www.g2.com/sellers/flowgear)
- **Year Founded:** 2007
- **HQ Location:** Johannesburg, Gauteng
- **Twitter:** @flowgear  
369 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e578bc189f2afdc6102eebe6fec031a7d0ee105021cec1284c6b4267dea0c228&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fflowgear%2F&secure%5Burl_type%5D=linkedin_company_website)  
34 employees on LinkedIn®
- **Phone:** US: 1-800-940-0054 UK: 0-800-098-8164 South Africa: 0861-61-3569

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 50% Small, 40% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **easy integrations** offered by Flowgear, enhancing workflow efficiency and system connectivity effortlessly.
- Users value the **automation capabilities** of Flowgear, appreciating its ease of use and robust integration features.
- Users value the **extensive connectivity options** of Flowgear, enabling quick and efficient system integrations with ease.
- Users value the **wide range of connectors** in Flowgear, making integration quick and efficient without coding hassles.
- Users find Flowgear's **ease of use** remarkable, facilitating smooth integration building with minimal coding knowledge required.

##### Cons

- Users note a significant **learning difficulty** due to limited training resources, impacting efficiency and progression.
- Users find the **poor documentation** challenging and suggest improvements for a better learning experience with Flowgear.
- Users find that the **difficult learning** process is hindered by limited training and documentation, affecting user experience.
- Users find the **learning curve challenging** due to limited training materials and unclear documentation for new users.
- Users find Flowgear's **limited functionality** in the trial version restricts access to advanced features and integrations.

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

**["Reduces Coding Hassle and Makes API Tasks Easy"](https://www.g2.com/survey_responses/flowgear-review-12500953)**

**Rating:** 4.5/5.0 stars

_— Kgabo B._

[Read full review](https://www.g2.com/survey_responses/flowgear-review-12500953)

**["Intuitive Drag-and-Drop Integrations with Cost-Effective Salesforce Connectors"](https://www.g2.com/survey_responses/flowgear-review-12699714)**

**Rating:** 4.5/5.0 stars

_— Bayethe N._

[Read full review](https://www.g2.com/survey_responses/flowgear-review-12699714)

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

- [What is your primary use case for Flowgear, and how has it impacted your integration processes?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-flowgear-and-how-has-it-impacted-your-integration-processes)
- [What is Flowgear used for?](https://www.g2.com/discussions/what-is-flowgear-used-for)

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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 

Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business ETL Tools category.

In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Enterprise Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

Show More

* * *

## How Do You Choose the Right ETL Tools?

### What You Should Know About ETL Tools

### ETL software buying insights at a glance

Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent. 

The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data.

Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms.

Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities.

### Top 5 FAQs from software buyers

- How do ETL tools support modern data stacks and cloud-based data architectures?
- How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift?
- Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams?
- What level of scalability and performance do ETL solutions provide for large-scale data pipelines?
- Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs?

G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews).

### What are the top-reviewed ETL Tools on G2?

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

- Number of Reviews: 324
- Satisfaction: 98
- Market Score: 99
- G2 Score: 98

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

- Number of Reviews: 279
- Satisfaction: 100
- Market Score: 81
- G2 Score: 90

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

- Number of Reviews: 380
- Satisfaction: 88
- Market Score: 73
- G2 Score: 80

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

- Number of Reviews: 224
- Satisfaction: 94
- Market Score: 62
- G2 Score: 78

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

- Number of Reviews: 172
- Satisfaction: 94
- Market Score: 60
- G2 Score: 77

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in ETL Tools

#### Feedback Pros: What Users Consistently Appreciate

• **Visual pipeline builders simplify complex multi-source data integrations**

_“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_

- [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review

• **Extensive connectors enable fast integration across SaaS and databases**

_“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_

- [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review

• **Automation capabilities reduce manual pipeline maintenance and data preparation**

_“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_

- [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review

#### Cons: Where Many Platforms Fall Short

• **Advanced transformations require deeper technical knowledge and configuration**

_“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_

- [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review

• **Limited debugging visibility when pipelines fail during complex workloads**

_“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_

- [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory

• **Scaling integrations or data volume increases operational management complexity**

_“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_

- [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review

### My Expert Takeaway on ETL Tools in 2026

Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems.

What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics.

Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams.

Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows.

### ETL Tools FAQs

#### What are the best free ETL tools for developers?

Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines.

Common options include:

- [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments.

Developers often use these tools to prototype data pipelines before scaling to production workloads.

#### What are the best no-code or low-code ETL tools?

No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations.

Examples include:

- [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows.
- [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation.

These platforms allow data teams to manage pipelines without relying heavily on engineering resources.

#### Which ETL services offer strong security features?

Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities.

Platforms commonly used in secure environments include:

- [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services.

These platforms help organizations maintain secure data movement across complex environments.

#### What’s the leading ETL app for big data analysis?

For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms.

Common choices include:

- [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines.
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment.
- [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting.

These platforms support large datasets and complex transformation workflows.

#### What are the different types of ETL tools?

ETL tools generally fall into four categories:

- **Open-source ETL tools** : Flexible frameworks for custom pipeline development.
- **Cloud-based ETL platforms** : Managed services that automate data pipelines.
- **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams.
- **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments.

Each category supports different technical needs and levels of pipeline complexity.

#### Sources

- [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
- [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

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

Last updated on March 16, 2026