1
InfluxData
San Francisco, California, United States
time-series data management and analytics platform
- Revenue
- $75M
- Customers
- 400
- Year founded
- 2012
- Funding
- $119.9M
- Team size
- 197
Top 2 Time Series Databases SaaS Companies (October 2026)
As of October 2026, Latka tracks 2 time series databases SaaS companies. They have combined revenues of $78M and employ 217 people. They have raised $119.9M and serve 400 customers combined.
Every company below sells time series 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 Time Series Databases SaaS Companies do
Time series databases (TSDBs) are specialized database systems designed to manage and analyze time-stamped data efficiently. They optimize storage and retrieval to handle the unique characteristics of time series data, which consists of sequences of data points indexed in time order. These databases are particularly useful for tracking and analyzing trends, patterns, and anomalies over time across various domains such as finance, IoT, and network monitoring. Common use cases for time series databases include real-time analytics, performance monitoring, and predictive analytics. Typical features of TSDBs often include high write and query performance with the capability to handle large volumes of rapidly arriving data, compression techniques to reduce storage costs, and functionality for aggregating data points. The primary users of time series databases often include data analysts, IT operations teams, and industries focused on time-sensitive analyses, such as finance and telecommunications.
- Companies
- 2
- Revenue
- $78M
- Funding
- $119.9M
- Employees
- 217
Filters
Sorting: Highest -> Lowest
Top Time Series Databases SaaS Companies by revenue
Showing 2 of 2 companies ranked by annual revenue.
- Revenue
- $3M
- Year founded
- 2019
- Team size
- 20
Frequently asked questions about Time Series Databases SaaS Companies
How many time series databases SaaS companies are there?
Latka tracks 2 time series databases SaaS companies with reported revenue. Together they generate $78M in annual revenue and employ 217 people.
Which time series databases SaaS company is the largest?
InfluxData is the largest, with $75M in annual revenue, founded in 2012.
How much revenue does a typical time series databases SaaS company make?
The average time series databases SaaS company in this list makes $39M a year, across 2 companies with reported revenue. They serve 400 customers combined.
Who are the leading Time Series Databases vendors?
Ranked by annual revenue, the leaders are InfluxData and QuestDB.
How much funding have time series databases SaaS companies raised?
The 2 time series databases SaaS companies tracked here have raised $119.9M in disclosed funding between them.
Related IT Infrastructure Software categories
Inclusion Criteria
- Must support storing and querying time-stamped data efficiently. - Should provide real-time processing capabilities for continuous data streams. - Must include features for data aggregation and analysis over time intervals. - Should allow for scalability to handle large datasets generated in high-frequency scenarios. - Not just general-purpose databases; must be optimized specifically for time series data use cases.