Amazon Timestream
Serverless time-series database for IoT, metrics, and operational telemetry
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Real-time time series database for events and metrics
InfluxDB Core collects, processes, and stores time series data with sub-10ms query response times, SQL support, and object storage compatibility for monitoring and analytics workloads.
InfluxDB Core is a time series database engineered for developers and operations teams who need real-time data ingest with fast query performance. It excels at building dashboards, monitoring systems, and automation solutions where millisecond-level response times matter.
The platform combines a diskless architecture with object storage support, delivering sub-10ms last-value queries and 30ms metadata queries. It provides SQL and InfluxQL query engines accessible via FlightSQL and HTTP APIs, plus an embedded Python VM for custom plugins and triggers. Data persists in Parquet format, enabling efficient storage and analytics integration.
InfluxDB 3 Core maintains backward compatibility with InfluxDB 1.x and 2.x write APIs, simplifying migration paths. Deploy using Docker images, Debian/RPM packages, or tarballs. The architecture supports both cloud object storage and local disk with zero external dependencies, making it suitable for edge deployments, cloud environments, and on-premises infrastructure. Released under Apache-2.0 license.
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Last-value queries return in under 10ms, while distinct metadata queries complete in approximately 30ms, making it suitable for real-time dashboards and interactive interfaces.
Yes, it supports InfluxDB 1.x and 2.x write APIs and the InfluxDB 1.x query API (InfluxQL), enabling straightforward migration paths from earlier versions.
InfluxDB 3 Core works with object storage services or local disk with no external dependencies, providing flexibility for cloud, on-premises, and edge deployments.
The database provides SQL and InfluxQL query engines accessible through FlightSQL and HTTP APIs, supporting both modern SQL tooling and legacy InfluxDB queries.
The Python VM enables custom plugins and triggers for data transformation, alerting logic, and workflow automation directly within the database without external processing.
Project at a glance
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