# Top Remote Time Series Databases Companies

Himalayas lists 7 companies for this search, most open remote jobs first.

Source: https://himalayas.app/companies/markets/time-series-databases

## Top Remote Time Series Databases Companies

| Company | Summary | Open remote jobs | Employees |
| --- | --- | --- | --- |
| [CrateDB](https://himalayas.app/companies/cratedb.md) | CrateDB is a cutting-edge, distributed database that provides real-time analytics and hybrid search capabilities, enabling businesses to scale and manage diverse datasets efficiently. | 1 | 51-200 |
| [KX](https://himalayas.app/companies/kx.md) | KX is a global data analytics software company specializing in high-performance time series databases and real-time analytics platforms, best known for its kdb+ database technology. | 0 | 501-1000 |
| [Tiger Data (creators of TimescaleDB)](https://himalayas.app/companies/tiger-data-creators-of-timescaledb.md) | The fastest PostgreSQL cloud for time series, real-time analytics, and vector workloads. | 0 | 51-200 |
| [Nixtla](https://himalayas.app/companies/nixtla.md) | Nixtla is a time series intelligence company building forecasting and anomaly detection tools, including the TimeGPT foundation model and open-source libraries. | 0 | 11-50 |
| [Quasar](https://himalayas.app/companies/quasar.md) | QuasarDB is a time-series database designed for handling large volumes of data with low latency, optimized to power real-time intelligence. | 0 | 51-200 |
| [Timescale](https://himalayas.app/companies/timescale.md) | Engineered to handle demanding workloads, like time series, vector, events, and analytics data. | 0 | 51-200 |
| [MindsDB](https://himalayas.app/companies/mindsdb.md) | In-database machine learning for time-series & anomaly detection. | 0 | 11-50 |

Page 1 of 1.