As of November 2026, Latka tracks 6 relational databases SaaS companies with $1M–$5M in annual revenue. They have combined revenues of $18.5M and employ 203 people. They have raised $108M.
Every company below sells relational databases 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.
Relational databases are organized collections of data that are structured into tables, consisting of rows and columns. This architecture allows for efficient data management and retrieval, as related data points can be accessed and manipulated using a structured query language (SQL). They are widely used in various applications, such as financial systems, e-commerce platforms, and customer relationship management systems, where handling structured data with complex relationships is essential. The primary features of relational databases include data integrity, normalization, and the ability to handle complex queries. Users can perform operations like adding, updating, and deleting data, as well as executing complex queries that join multiple tables to extract meaningful insights. Typical buyer personas for this software include database administrators, IT professionals, and business analysts, who rely on these systems to store and analyze large volumes of data and support decision-making processes.
Sorting: Highest -> Lowest
Showing 6 of 6 companies ranked by annual revenue.
Alexandria, Virginia, United States
pgEdge provides distributed PostgreSQL optimized for the network edge to reduce data latency and achieve ultra high availability. The company was founded by industry veterans with expertise in distributed systems and PostgreSQL.
San Francisco, California, United States
Developer of a database management platform designed to improve performance and scale massively. The company's platform combines many important MySQL features with the scalability of a NoSQL database, as well as offers various features to improve performance, handle failovers, backups and manage shards, among others, enabling businesses to segment their database to boost memory efficiency without sacrificing reliable access speeds.
San Francisco, California, United States
DuckDB-Powered Postgres for real-time apps and analytics.
Madrid, Spain
Developer of an ultra-scalable operational database designed to provide full SQL and ACID transactions to cloud applications with standard interfaces. The company's ultra-scalable operational database offers real-time analytics blending the capabilities of an operational database and the ones of a data warehouse in a single platform, empowering its customers to implement professional results without the need to copy their data in time and resource-consuming projects.
East Palo Alto, California, United States
ScaleGrid provides a fully managed Database-as-a-Service (DBaaS) solution used by thousands of developers, startups, and enterprise customers including UPS, Dell, and Adobe. The ScaleGrid platform supports MongoDB, Redis, MySQL, and PostgreSQL on both public and private clouds, including, but not limited to, Amazon AWS, Microsoft Azure, DigitalOcean, and VMware, and handles all your database operations at any scale so you can focus on your product instead of operations. Start a free 30-day trial to see how you can improve your database management operations today: https://console.scalegrid.io/users/register
United States
Tacnode innovates at the cutting edge of Database, Data Lakehouse and AI space. Tacnode is a unified cloud native and cloud agnostic data platform built for massive scale. The first database that unifies real-time analytics, online retrieval, and PostgreSQL compatibility in one platform — handling large-scale data and complex workloads with unprecedented performance, at real-time.
Latka tracks 6 relational databases SaaS companies with $1M–$5M in annual revenue. Together they generate $18.5M in annual revenue and employ 203 people.
pgEdge is the largest, with $4.3M in annual revenue, founded in 2022.
The average relational databases SaaS company in this list makes $3.1M a year, across 6 companies with reported revenue.
Ranked by annual revenue, the leaders are pgEdge, PlanetScale, Hydra, LeanXcale and ScaleGrid.
The 6 relational databases SaaS companies with $1M–$5M in annual revenue tracked here have raised $108M in disclosed funding between them.
- Must support structured data organization into tables with defined schemas - Must allow complex querying through SQL or similar languages - Must provide features for data integrity and consistency - Must facilitate data relationships through foreign keys and indexing - Targeted towards use cases requiring secure and reliable data management - Not purely focused on unstructured data handling; must deal with structured relational data as a priority