TimeBase
TimeBase: A focused, scalable choice for streaming time-series workloads and market data. Ranked #17 of 36 in Time-Series Databases by our editors (7.3/10); pricing: Free plan; best for real-time streaming and historical processing.
At a glance
- Editor score7.3 / 10
- PricingFree plan
- Best forReal-time streaming and historical processing
- Free planYes
- DeploymentBoth
- Facts checked22 Sep 2026
Where it wins
- Apache 2.0 Community Edition with unlimited data storage
- Cluster deployment with linear performance scalability
- Integrations for Kafka, Grafana, BI tools, and object storage
Where it doesn't
- QQL is SQL-like rather than standard SQL
- Enterprise Edition requires a custom agreement for support
- Its focus is narrower than general-purpose time-series databases
Our verdict on TimeBase
TimeBase is an event-oriented time-series database and messaging middleware for high-frequency workloads, particularly financial-market data. It supports real-time and historical processing, streaming persistence, schema-based data modeling, serialization, replication, and multiple ingestion paths. Teams can deploy it on Windows or Linux, through self-hosted environments, or via its APIs. It is best suited to organizations that need to process event streams while preserving historical time-series data for later analysis.
The Community Edition is available under the Apache 2.0 license and includes unlimited data storage, cluster support, and community support through GitHub. The Enterprise Edition adds a commercial license, more than 100 commercial data connectors, web and desktop administration tools, and technical support through a custom agreement. The ecosystem includes Apache Kafka, Grafana, TimescaleDB, ClickHouse, Power BI, Jupyter Notebook, AWS S3, Amazon QuickSight, and Tabix. Java, C++, C#, Python, and Go APIs, along with REST, WebSocket, Kafka Connector, loaders, ETL tools, UDP, and IPC, support varied ingestion and application architectures.
TimeBase stands out when message-oriented streaming, historical processing, and clustered deployment matter more than broad SQL compatibility. Its QQL query language is described as SQL-like, so teams expecting standard SQL workflows may need to adapt their querying approach. Administration is available through web, CLI, and desktop tools, while cold-storage and export integrations support longer data pipelines. Choose TimeBase for high-frequency event data, scalable streaming persistence, and a focused time-series architecture. Consider an alternative if standard SQL is a primary requirement or if a broader general-purpose database scope is more important than event-oriented processing.
TimeBase pricing
All 2 TimeBase plans and prices →
TimeBase fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Deployment | Both |
| SQL support | Not verified |
| Retention policies | Yes |
| Horizontal scaling | Yes |
| Query languages | QQL |
| Ingestion methods | Java, C++, C#, Python, Go, REST/WS, Kafka, loaders |
| Deployment | Cloud, Self-hosted, Desktop |
| Platforms | Web, Windows, Linux |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 100+ integrations: Apache Kafka, Grafana, Timescale, ClickHouse, Power BI, Jupyter Notebook … |
| Pricing | Free plan (source) |
| Website | timebase.info |
| Facts checked | 22 Sep 2026 |
TimeBase integrations
TimeBase lists 100+ integrations on its own site — the 9 named here are the ones its pages call out.
- Apache Kafka
- Grafana
- Timescale
- ClickHouse
- Power BI
- Jupyter Notebook
- AWS S3
- Amazon QuickSight
- Tabix
Alternatives to TimeBase
- Apache IoTDBA focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.9.3
- Amazon TimestreamA managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.9.1
- LindormTSDBA broad compatibility layer for teams managing scalable telemetry and metrics workloads.9.0
See all TimeBase alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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