Latka logo

Top 1 Key Value Databases SaaS Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 1 key value databases SaaS companies under $1M in annual revenue. They have combined revenues of $660K and employ 6 people.

Every company below sells key value 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.

What Key Value Databases SaaS Companies do

Key-value databases are a type of non-relational database, commonly categorized under NoSQL databases, that store data as a collection of key-value pairs. This structure provides a simple and efficient way to access and manipulate data, making these databases particularly suited for scenarios requiring high-speed transactions and scalability. They are widely used in applications such as caching, session storage, and real-time analytics, where quick retrieval and storage of data is paramount. Typical features of key-value databases include high availability, partitioning, and various data expiration policies. They often support horizontal scaling, allowing them to handle increased loads seamlessly. Common buyer personas for key-value databases include software developers and data engineers, who seek to implement flexible and scalable data solutions, as well as IT operations teams focused on maintaining performance and availability in dynamic environments.

Companies
1
Revenue
$660K
Funding
-
Employees
6

Filters

Sorting: Highest -> Lowest

Filters

Top Key Value Databases SaaS Companies Under $1M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1BangDB logo
BangDB

Bengaluru, Karnataka, India

BangDB is a multimodal converged database platform. BangDB simplifies and speeds up the development of modern use cases, features by avoiding the middle layer developments by the users. BangDB handles the application logic using schema defined and customized by the user, this not only decreases the cost of development but also ships newer features faster and with higher quality. BangDB natively converges following. 1. Document database, with primary, secondary, composite, geospatial, reverse indexing 2. Stream processing for real-time time-series events, patterns, anomalies, running stats 3. Graph processing at scale, cypher like query language with implicit AI 4. Integrated AI, ML ops, Resource servers for larger files like models etc. 4. Vector indexing for RAG workflows * 5. Workflow engine with groups and pipes for enabling complex processing logic and flow 6. High performance database for devices, clouds or p2p based computing BangDB has proved to be valuable for Fintech, Retails, Ecommerce, Healthcare, CRM, Infra, Devops, IOT for several use cases. Real-time monitoring and actions, similarities, personalization & recommendations, fraud and threat detection, CRM (customer experience), visitor insights for real-time interactions, Infra/app/log monitoring, master data management etc. are some of the use cases where BangDB scales with cost savings, accelerated app development and delivery with higher quality.

Revenue
$660K
Year founded
2015
Team size
6

Frequently asked questions about Key Value Databases SaaS Companies Under $1M Revenue

How many key value databases SaaS companies under $1M in annual revenue are there?

Latka tracks 1 key value databases SaaS companies under $1M in annual revenue. Together they generate $660K in annual revenue and employ 6 people.

Which key value databases SaaS company under $1M in annual revenue is the largest?

BangDB is the largest, with $660K in annual revenue, founded in 2015.

How much revenue does a typical key value databases SaaS company under $1M in annual revenue make?

The average key value databases SaaS company in this list makes $660K a year, across 1 companies with reported revenue.

Who are the leading Key Value Databases vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are BangDB.

Related IT Infrastructure Software categories

Inclusion Criteria

- The product must store data primarily in key-value pairs. - It should support high availability and scalability for large datasets. - The database should allow for quick retrieval and storage of data. - It must include features for data expiration or time-to-live settings. - The system should not be limited to relational data structures; must also support unstructured or semi-structured data.