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Top 30 Data Virtualization Software Companies Under $1M Revenue (August 2026)

As of August 2026, Latka tracks 30 data virtualization software companies under $1M in annual revenue. They have combined revenues of $14.9M and employ 139 people. They have raised $11M and serve 85 customers combined.

Every company below sells data virtualization software 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 Data Virtualization Software Companies do

Data Virtualization Software enables organizations to effectively access, manage, and integrate data across diverse sources without the need for physical data movement. This technology provides a unified view of data from multiple systems while improving data governance and accessibility. Its primary use cases include real-time data access for analytics, reporting, and decision-making processes. Common features of data virtualization solutions include data abstraction, integration capabilities, centralized data management, and user-friendly interfaces for data queries. Buyer personas typically consist of IT professionals, data analysts, and business intelligence teams looking to improve data accessibility and streamline complex workflows across various platforms. These tools are invaluable in environments where managing data proliferation and ensuring data integrity are crucial to business operations.

Companies
30
Revenue
$14.9M
Funding
$11M
Employees
139

Filters

Sorting: Highest -> Lowest

Filters

Top Data Virtualization Software Companies Under $1M Revenue

Showing 10 of 30 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
2Definite logo
Definite

Wilmington, Delaware, United States

All your data. One app. Zero pain. Definite pulls all your data into a single place for analytics and dashboards. No engineering or SQL required. Get a managed data warehouse, ELT, data modeling and transformations, and AI-assisted business intelligence in a single platform.

Revenue
$880K
Year founded
2023
Team size
8
3Kondado logo
Kondado

Sao Paulo, SP, Brazil

https://youtu.be/DSi9wGw6uoo A Kondado centraliza informações de ferramentas de vários departamentos diretamente na base de dados da sua empresa. Nossa plataforma web conecta-se com mais de 50 ferramentas e bancos de dados sem que você precise escrever código algum. Empoderamos todos na sua empresa a se tornarem data-driven e terem uma visão 360º dos seus clientes e da sua operação

Revenue
$880K
Year founded
2018
Team size
8
4Wunderdata logo
Wunderdata

Berlin, Germany

Developer and provider of business data intelligence platform. The company operates a platform that connects users database and creates their data warehouse.

Revenue
$779K
Year founded
2013
Team size
2
5ESNAH logo
ESNAH

Namur, Région wallonne, Belgium

ESNAH has focused its expertise on using data and communication to support decision makers with advanced business intelligence. Our mission is therefore to break information silos, owned by each stakeholder, down and make data available efficiently, reliably and in real time. Today, ESNAH is using its solution and technology to serve various markets and provide added value to multiple actors within those markets.

Revenue
$770K
Year founded
2012
Team size
7
6Blue Medora logo
Blue Medora

Grand Rapids, Michigan, United States

We’re the company that set the standard for enterprise-grade integration for IT monitoring. We believe that data is dimensional, not flat, and health and performance metrics must include their relationship to other components in the IT stack to truly provide insights. We deliver this Dimensional Data using the industry’s first IT monitoring integration service (MIaaS), BindPlane. For more information, visit bluemedora.com.

Revenue
$770K
Year founded
2007
Team size
7
7Vitesse Data logo
Vitesse Data

United States

Developer of a SaaS based data processing software designed to unleash the power of modern CPUs. The company's software uses open source databases to accelerate Generic Probe Database Browser (GPDB) for the data warehouse, enabling users to enhance their system's efficiency.

Revenue
$765.7K
Year founded
2014
Team size
2
8Junar logo
Junar

Palo Alto, California, United States

Provider of a data-as-a-service (DaaS) platform designed for managing and opening data in the cloud. The company's web-based dashboard lets businesses, governments and organizations search through data streams, enabling them quickly, easily and affordably make their data accessible to all.

Revenue
$663.4K
Year founded
2010
Team size
5
9Context Data logo
Context Data

New York, NY, United States

Context Data is an enterprise data pipeline platform tailored to effortlessly transfer data from a multitude of sources, like MySQL, Salesforce, and AWS S3, to any vector database of choice, making AI training seamless and efficient. What sets us apart is our universal data integration, optimized embeddings, and automated scheduling capabilities.

Revenue
$660K
Year founded
2023
Team size
6
10Cloud Privacy Labs logo
Cloud Privacy Labs

Greenwood Village, Colorado, United States

We develop technologies to capture, harmonize, and share data. Our interoperability solutions help organizations make sense of data they collect from multiple sources with different standards and conventions, and to build data sets for AI/analytics applications. Our privacy solutions enable data exchange between organizations while respecting individuals’ privacy choices.

Revenue
$660K
Team size
6

Frequently asked questions about Data Virtualization Software Companies Under $1M Revenue

How many data virtualization software companies under $1M in annual revenue are there?

Latka tracks 30 data virtualization software companies under $1M in annual revenue. Together they generate $14.9M in annual revenue and employ 139 people.

Which data virtualization software 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 data virtualization software company under $1M in annual revenue make?

The average data virtualization software company in this list makes $498.2K a year, across 30 companies with reported revenue. They serve 85 customers combined.

Who are the leading Data Virtualization software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Datawarehouse.io, Definite, Kondado, Wunderdata and ESNAH.

How much funding have data virtualization software companies under $1M in annual revenue raised?

The 30 data virtualization software companies under $1M in annual revenue tracked here have raised $11M in disclosed funding between them.

Related Analytics Tools & Software categories

Inclusion Criteria

- Must provide a virtualized data layer for abstraction and integration of data from multiple sources. - Should enable real-time access to data for analytics and reporting. - Must support centralized data governance and management functionalities. - Should have user-friendly interfaces for data querying and analysis. - Not limited to traditional data integration; must also facilitate seamless access to live data.