Latka logo

Top 3 Wide Column Database Software Companies (August 2026)

As of August 2026, Latka tracks 3 wide column database software companies. They have combined revenues of $551.4M and employ 3.5K people. They have raised $624.6M and serve 500 customers combined.

Every company below sells wide column database 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 Wide Column Database Software Companies do

Wide column database software represents a category of NoSQL databases designed to efficiently store and manage large volumes of data across flexible and distributed structures. These databases organize data into tables with rows and dynamic columns, allowing users to store diverse data types and perform rapid read and write operations. They are particularly well-suited for applications that require scalability, high availability, and performance, making them popular choices in settings ranging from enterprise data analytics to Internet of Things (IoT) systems. The primary use cases for wide column databases include handling large datasets for real-time analytics, managing user preferences, and supporting various data-intensive applications such as logging, reporting, and geographical data management. Built to function across multiple nodes, these databases excel in environments where data can be partitioned and queried in parallel. Common user personas include IT administrators overseeing database infrastructure, data engineers responsible for data management, and business analysts who analyze data trends and insights for decision-making purposes.

Companies
3
Revenue
$551.4M
Funding
$624.6M
Employees
3.5K

Filters

Sorting: Highest -> Lowest

Filters

Top Wide Column Database Software Companies by revenue

Showing 3 of 3 companies ranked by annual revenue.

1The Apache Software Foundation logo
The Apache Software Foundation

Wilmington, Delaware, United States

The Apache Software Foundation (ASF) is the global home for open source software, powering some of the world’s most ubiquitous software projects including Apache Airflow, Apache Camel, Apache Cassandra, Apache Groovy, Apache HTTP Server, and Apache Kafka. Established in 1999, The ASF is at the forefront of open source innovation, setting industry standards to advance software for the public good. We sustain open source projects in perpetuity, empowering developers to build communities that endure. Everything we do is open. Everyone is welcome. Learn more at https://apache.org. ASF’s annual Community Over Code event is where open source technologists convene to share best practices and use cases, forge critical relationships, and learn about advancements in their field. https://communityovercode.org/

Revenue
$259.3M
Year founded
1999
Team size
2.4K
2DataStax logo
DataStax

Santa Clara, California, United States

The company that owns datastax.com is DataStax, Inc. DataStax is a software company that specializes in delivering an always-on, distributed database platform built on Apache Cassandra. The company was founded in 2010 and is based in Santa Clara, California, with additional offices around the world. DataStax helps businesses unlock the full potential of their data by providing a scalable, highly available, and secure database platform that can handle massive amounts of data and support real-time applications. Their customers include some of the world's largest companies in industries such as finance, healthcare, and retail.

Revenue
$246.9M
Customers
500
Year founded
2010
Funding
$342.6M
Team size
692
3Yugabyte logo
Yugabyte

Sunnyvale, California, United States

Yugabyte is the company behind open source YugabyteDB, a high-performance, PostgreSQL-compatible, distributed database for cloud native applications. Built using a unique combination of high-performance document store, auto sharding, per-shard distributed consensus replication and multi-shard ACID transactions (inspired by Google Spanner), YugabyteDB serves both scale-out RDBMS and internet-scale OLTP workloads with low query latency, extreme resilience against failures and global data distribution. As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease. We are backed by top-tier investors including Lightspeed Venture Partners, Sapphire Ventures, Dell Technologies Capital, Alkeon Capital, Meritech Capital, 8VC, Wipro Ventures, and Wells Fargo Strategic Capital. We are hiring across the board in Engineering, Sales and Marketing. Apply on our Careers page: https://www.yugabyte.com/about/careers/ GitHub (Apache 2.0): https://github.com/yugabyte/yugabyte-db Docs: https://docs.yugabyte.com To discover more, join the Yugabyte Community via our Slack channel and connect with database experts from across the world: https://inviter.co/yugabytedb

Revenue
$45.3M
Year founded
2016
Funding
$282M
Team size
412

Frequently asked questions about Wide Column Database Software Companies

How many wide column database software companies are there?

Latka tracks 3 wide column database software companies with reported revenue. Together they generate $551.4M in annual revenue and employ 3.5K people.

Which wide column database software company is the largest?

The Apache Software Foundation is the largest, with $259.3M in annual revenue, founded in 1999.

How much revenue does a typical wide column database software company make?

The average wide column database software company in this list makes $183.8M a year, across 3 companies with reported revenue. They serve 500 customers combined.

Who are the leading Wide Column Database software vendors?

Ranked by annual revenue, the leaders are The Apache Software Foundation, DataStax and Yugabyte.

How much funding have wide column database software companies raised?

The 3 wide column database software companies tracked here have raised $624.6M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must support a flexible schema design with dynamic columns - Must allow horizontal scalability across distributed systems - Should enable efficient querying of large datasets for analytics and reporting - Must be capable of handling both structured and semi-structured data - Should provide high availability and fault tolerance features - Not limited to a single data model; must also support various data types and relationships