Best ETL Tools - Page 20

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 319

Category Stats (Nov 2026)

  • Average Rating: 4.55/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: SyntraETL (+1.78%) - Among all products in this category, SyntraETL recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 21,500+ Authentic Reviews
  • 319+ 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

Highlighted products: Databricks, Alteryx, Celigo, Google Cloud BigQuery, Funnel, FME Platform, Fivetran, and Informatica Data Integration and Engineering.

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

SnowcatCloud

The easiest, fastest, and most affordable way to run a production-ready Snowplow. SnowCatCloud is a hosted Snowplow solution for companies who do not have the technical resources to set up and manage Snowplow in a production environment. - Fully featured Snowplow - Cloud costs included - No data engineers necessary - Deliver event-level data to S3, Redshift, BigQuery, Snowflake, and ElasticSearch in real-time - No lock-in contracts, migrate to your own Snowplow anytime https://www.youtube.com/watch?v=Yx3Z733ElgI

Who Is the Company Behind SnowcatCloud?

Softaken OST Conversion Suite

Softaken OST Conversion Suite is the expert way to convert OST files to multiple file formats securely.

Who Is the Company Behind Softaken OST Conversion Suite?

SolarWinds Task Factory

SolarWinds® Task Factory is a specialized software solution designed to enhance the capabilities of SQL Server Integration Services (SSIS) by providing a comprehensive set of high-performance components and tasks. This tool aims to streamline the data integration process, allowing users to efficiently manage and manipulate data without the need for extensive programming knowledge. By leveraging Task Factory, organizations can significantly reduce development time and increase productivity, making it an essential asset for data professionals. Targeted primarily at data engineers, ETL developers, and business intelligence professionals, Task Factory addresses the common challenges faced in data integration and management. Its user-friendly interface and robust functionality cater to a wide range of use cases, from loading and managing data warehouses to connecting with various data sources. The ability to pull information from platforms such as SharePoint, Salesforce, Facebook, Twitter, and REST web APIs further enhances its versatility, making it suitable for organizations that rely on diverse data ecosystems. One of the key features of SolarWinds Task Factory is its performance optimization. The components within Task Factory are designed to run faster than native SSIS components, which translates to quicker data processing and improved efficiency in data workflows. This speed is particularly beneficial for organizations that require timely insights from their data, as it allows for more agile decision-making and reporting. Additionally, Task Factory provides a seamless connection to various data sources, ensuring that users can easily access and integrate data from multiple platforms. This capability not only simplifies the data extraction process but also enhances the overall data management strategy by enabling users to maintain a comprehensive view of their data landscape. The elimination of the need for custom programming tasks further empowers users, allowing them to focus on higher-level data analysis and strategy rather than getting bogged down in technical complexities. Overall, SolarWinds Task Factory stands out in the realm of SSIS solutions by offering a powerful combination of speed, connectivity, and ease of use. Its ability to enhance productivity and streamline data integration processes makes it a valuable tool for organizations looking to optimize their data management efforts. By providing a robust set of features tailored to the needs of data professionals, Task Factory positions itself as a critical component in the modern data integration toolkit.

Who Is the Company Behind SolarWinds Task Factory?

  • Seller: SolarWinds Worldwide LLC
  • Year Founded: 1999
  • HQ Location: Austin, TX
  • Twitter: @solarwinds
    19,570 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,864 employees on LinkedIn®
  • Ownership: NYSE: SWI

Who Uses This Product?

  • Company Size: 100% Small, 25% Large

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SSIS Data Flow Components for DB2

Who Is the Company Behind SSIS Data Flow Components for DB2?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    252 employees on LinkedIn®

Stambia Enterprise

Data management is vital for any company wanting to improve its productivity.

Who Is the Company Behind Stambia Enterprise?

StreamAnalytix

StreamAnalytix is an enterprise grade, visual, big data analytics platform for unified streaming and batch data processing based on best-of-breed open source technologies. It supports the end-to-end functionality of data ingestion, enrichment, machine learning, action triggers, and visualization. StreamAnalytix offers an intuitive drag-and-drop visual interface to build and operationalize big data applications five to ten times faster, across industries, data formats, and use cases.

Who Is the Company Behind StreamAnalytix?

  • Seller: Impetus Technologies
  • Year Founded: 1996
  • HQ Location: Los Gatos, California, United States
  • Twitter: @impetustech
    1,596 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,324 employees on LinkedIn®

Striim

Power your operations and decision-making with real-time data. Striim is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real-time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors and delivers it to virtually any target on-premises or in the cloud with sub-second latency, enabling real-time operations and analytics. Available as a fully managed service on AWS, Google Cloud, and Microsoft Azure.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Striim?

  • Seller: Striim
  • Year Founded: 2012
  • HQ Location: Palo Alto, US
  • Twitter: @striimteam
    1,300 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    261 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Striim?

What Are G2 Users Discussing About Striim?

Stripe Data Pipeline

Stripe Data Pipeline is the simplest way to connect your Stripe account to your data warehouse. Data Pipeline is a no-code solution that sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift in a few clicks. Centralize your Stripe data with other business data to close your books faster and access helpful business insights. Learn more at stripe.com/data-pipeline.

Who Is the Company Behind Stripe Data Pipeline?

  • Seller: Stripe
  • Year Founded: 2010
  • HQ Location: San Francisco, CA
  • Twitter: @stripe
    285,306 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,021 employees on LinkedIn®

Supaflow ETL Platform

Supaflow is a no-code ETL platform for data ingestion, dbt Core transformations, orchestration, and reverse ETL (activations). Ingest from every SaaS app and database Connect Salesforce, HubSpot, NetSuite, Oracle, Postgres, MySQL, SAP Hana, Snowflake, BigQuery, Redshift, Salesforce Marketing Cloud, Google Ads, and more in minutes with historical and incremental sync, automatic schema drift detection, and checksum validation. Pipelines run on Snowflake compute, so your data never leaves your account. Transform with dbt Core Author, version, and run dbt Core models directly alongside your pipelines -- no separate orchestration layer required. Activate curated data via Reverse ETL Push enriched Snowflake tables back into CRM, ads, and GTM tools with field mapping, audience previews, and automatic retry logic. Orchestrate and monitor end-to-end Coordinate ingestion, transformation, and activation with built-in scheduling, pause/resume controls, real-time run telemetry, row counts, lineage, and alerts. Secure by design Asymmetric encryption keeps credentials sealed end-to-end. The data plane stays entirely in your cloud environment—PHI and PII never leave your control. Transparent, usage-based pricing You pay only for the credits consumed. No MAR, no surprise bills. Many teams report slashing ingestion costs by up to 80% compared to per-row pricing. "Stop paying per row." View the Supaflow Product Showcase https://www.supa-flow.io/product/demo

Who Is the Company Behind Supaflow ETL Platform?

  • Seller: Supaflow
  • Year Founded: 2025
  • HQ Location: Fremont, US
  • Twitter: @SupaflowM
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Syniti Knowledge Platform

A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, and master data management into one unified platform. SKP aims to deliver trustworthy, optimized, and actionable data across businesses, ensuring successful digital transformations with minimal disruption. Able to support the most complex migrations, such as transitioning to SAP S/4HANA, SKP’s unified data management capabilities drive better business outcomes. SKP is an essential tool for enterprises looking to manage their data effectively and leverage it for strategic advantage. Its comprehensive features and benefits make it a valuable asset for any business aiming to improve data quality, governance, and overall management. SKP helps businesses achieve successful digital transformations with minimal disruption.

Average Rating: 4.2/5.0

Total Reviews: 14

How Do G2 Users Rate Syniti Knowledge Platform?

  • Has the product been a good partner in doing business?: 7.5/10 (Category avg: 9.1/10)

Who Is the Company Behind Syniti Knowledge Platform?

  • Seller: Syniti
  • Year Founded: 1996
  • HQ Location: Needham Heights, Massachusetts, United States
  • LinkedIn® Page: www.linkedin.com
    1,885 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Large, 43% Medium

What Are Recent G2 Reviews of Syniti Knowledge Platform?

Tale of Data

Tale of Data is a no-code ETL and data integration platform with data quality built directly into its pipelines. Business and IT teams extract, move, transform, correct and publish data on the same visual canvas. Pipelines typically reach production in a few weeks, not a six-month project. Designed and developed in France. What sets it apart 1. Data quality inside the pipeline, not in a separate tool. As data flows through a pipeline, Tale of Data audits it automatically. It then standardizes it, deduplicates it with fuzzy matching, corrects it and validates it against custom business rules, including rules spanning several columns. Real-time alerts explain each issue and suggest fixes, and full data lineage traces every figure back to its source. Most ETLs move data. Tale of Data also fixes it, in the same no-code flow. 2. Automatic data cataloging. Scheduled scanners extract metadata from databases, files (Excel, CSV, JSON, Parquet) and ERP/CRM systems (SAP, Salesforce, Microsoft Dynamics). They recognize business data types such as names, emails, phone numbers, IBANs and personal data, and users can define their own types. They also measure the quality of the actual data: missing, malformed or inconsistent values. Who it’s for Data engineers and architects: hand off repetitive integration work and keep full governance of production. Business analysts and data stewards: build and adapt their own pipelines after one day of training, without IT tickets. Key facts - Engine: Apache Spark, single server or cluster - Connectivity: Snowflake, Databricks, BigQuery, Oracle, SQL Server, PostgreSQL, S3, SharePoint, SAP, Salesforce, HubSpot, OData and cloud APIs - DataOps: test, preprod and prod environments, versioning, scheduling, REST API - Generative AI (can be disabled): transform and enrich data row by row in natural language, using Claude, OpenAI or self-hosted open-source models - Deployment: shared SaaS, dedicated SaaS, private cloud or on-premises (Docker, Podman, Kubernetes) - Pricing: flat and predictable, independent of data volume, rows or CPU usage

Who Is the Company Behind Tale of Data?

Teknete

Teknete is an AI-augmented, low-code ETL & data automation platform designed for modern data teams that need reliable, scalable, and adaptive data pipelines—without heavy engineering overhead. In today’s data landscape, traditional ETL tools struggle to keep up with dynamic data sources, frequent schema changes, and the demand for rapid delivery. Teknete solves these challenges by combining advanced AI-assisted data mapping, schema drift detection, and low-code pipeline design into a single unified platform. With Teknete, teams can: Build and deploy ETL pipelines faster using an intuitive low-code visual interface Automate schema discovery and transformations with AI assistance Reduce maintenance overhead thanks to proactive change detection and intelligent validation Support structured and unstructured sources, including databases, APIs, SaaS apps, files, and event streams Scale data workflows with confidence, powering analytics, reporting, and operational systems Enable cross-functional teams (data engineers, analysts, architects) to collaborate efficiently Teknete is ideal for enterprises and mid-market adopters that: Want to reduce the time and cost of ETL development Are tired of brittle pipelines that break with every source change Need a unified platform that supports both developer productivity and business agility Whether you’re modernizing legacy ETL, building next-gen data pipelines, or accelerating analytics delivery, Teknete streamlines data workflows so teams can focus on insights—rather than fixing pipelines.

Who Is the Company Behind Teknete?

Tempo BigQuery Connector for Jira

Export large volumes of Jira data to BigQuery for large-scale data management and analytics. Customize data exports and automate data syncs without coding expertise to make data-driven decisions at scale

Who Is the Company Behind Tempo BigQuery Connector for Jira?

  • Seller: Tempo
  • Year Founded: 2015
  • HQ Location: Boston, US
  • Twitter: @TempoHQ
    1,800 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    383 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026