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Top 2 ETL Tools Companies Under $1M Revenue (November 2026)

As of November 2026, Latka tracks 2 ETL tools companies under $1M in annual revenue. They have combined revenues of $1.2M and employ 11 people.

Every company below sells ETL tools to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What ETL Tools Companies do

ETL tools, which stand for Extract, Transform, and Load, are software solutions designed to facilitate the consolidation of data from various sources into a centralized location, typically a data warehouse. These tools automate the process of extracting data from multiple databases, applications, and other data sources, transforming it into a usable format, and loading it into a target system for analysis and reporting. ETL workflows enhance the speed and efficiency of data processing, allowing organizations to make data-driven decisions in a timely manner. The primary use cases for ETL tools encompass data integration, data migration, and data warehousing. They are commonly used in industries such as finance, healthcare, retail, and marketing, where large volumes of data need to be collected and processed regularly. The typical features of ETL tools include data cleansing, error handling, real-time data processing, and the ability to schedule workflows and generate reports. Common buyer personas include data analysts, data engineers, and IT professionals who are responsible for maintaining data flow and integrity within their organizations.

Companies
2
Revenue
$1.2M
Funding
-
Employees
11

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Top ETL Tools Companies Under $1M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Datawarehouse.io logo
Datawarehouse.io

Houston, Texas, United States

Datawarehouse.io for HubSpot is a suite of purpose built utility apps for HubSpot designed to put your HubSpot data at your fingertips. Using the Datawarehouse.io platform enables you to integrate HubSpot with the apps of your choosing. No API coding required — we’ve already taken care of it. Datawarehouse.io utilizes all of the available HubSpot APIs to allow for seamless integrations between platforms. - Connect PowerBI or Tableau to your HubSpot database. - Export your all your Hubspot with the click of a button. - Migrate your HubSpot data and schemas from one portal to another. - Sync your HubSpot data to a Data Warehouse of your choosing. All in a single self-service solution developed in conjunction with HubSpot partners around the world. With over 7000 installs in the HubSpot app marketplace and 60 billion records processed a month our service is predictable and reliable at scale.

Revenue
$880K
Year founded
2021
Team size
8
2starlake.ai logo
starlake.ai

Paris, Île-de-France, France

Effortless Extract, Load, Transform and Orchestrate using Declarative Data Pipelines

Revenue
$330K
Team size
3

Frequently asked questions about ETL Tools Companies Under $1M Revenue

How many ETL tools companies under $1M in annual revenue are there?

Latka tracks 2 ETL tools companies under $1M in annual revenue. Together they generate $1.2M in annual revenue and employ 11 people.

Which ETL tools company under $1M in annual revenue is the largest?

Datawarehouse.io is the largest, with $880K in annual revenue, founded in 2021.

How much revenue does a typical ETL tools company under $1M in annual revenue make?

The average ETL tools company in this list makes $605K a year, across 2 companies with reported revenue.

Who are the leading ETL tools vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Datawarehouse.io and starlake.ai.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from ETL to everything else.

Inclusion Criteria

- Must enable the extraction of data from multiple disparate sources. - Must offer transformation capabilities to modify and cleanse data before loading. - Must support loading data into a centralized data repository, such as a data warehouse or database. - Should include error handling and logging features for effective troubleshooting. - Not just a data management tool; must also facilitate data integration workflows.