Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Amazon Timestream in time-series databases workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing Amazon Timestream.
Why teams pick it
Control your scheduling stack on your own infrastructure.
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Amazon Timestream.
Why teams pick it
Keep customer data in-house with privacy-focused tooling.
High-performance distributed time-series database for IoT and observability
Why teams choose it
Watch for
Requires Rust toolchain, CMake, FlatBuffers, and Protobuf for source builds
Migration highlight
IoT Sensor Network Monitoring
Ingest millions of sensor readings per second with automatic compression, query historical trends via SQL, and cache recent values for real-time dashboards.
Blazing‑fast time‑series database for real‑time analytics with low‑latency SQL
Fast, goroutine-safe on-disk time-series storage for Go
Scalable, high-performance time-series DB for massive telemetry
Flexible monitoring system with powerful queries and autonomous servers
Unified observability database for metrics, logs, and traces
High‑performance, cloud‑native time‑series database for IoT scale
PostgreSQL extension delivering high-performance real-time analytics on time-series data
Real-time time series database for events and metrics
Distributed SQL database for real-time analytics at scale
Teams replacing Amazon Timestream in time-series databases workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Amazon Timestream.
Why teams choose it
Watch for
Enterprise features require paid license
Migration highlight
Real‑time crypto trade analytics
Ingests millions of trade events per second and serves sub‑second queries for live price charts via Grafana.
Why teams choose it
Watch for
Limited to the Go ecosystem; no native bindings for other languages
Migration highlight
Load-testing metrics collection
Capture millions of latency points with sub-microsecond write latency, keeping heap usage stable.
Why teams choose it
Watch for
Maturing project as a CNCF sandbox, ecosystem still growing
Migration highlight
Industrial sensor data collection
Ingest millions of sensor readings per second with sub-10 ms query latency, enabling real-time monitoring and anomaly detection.
Why teams choose it
Watch for
Scaling beyond a single node requires federation
Migration highlight
Cluster health monitoring
Continuously scrapes node and pod metrics, alerts on resource exhaustion, and visualizes trends via Grafana.
Why teams choose it
Watch for
Currently in beta status with GA planned for mid-2025
Migration highlight
Unified Observability Platform
Replace separate Prometheus, Elasticsearch, and tracing backends with one database, reducing operational complexity and infrastructure costs
Why teams choose it
Watch for
Windows support limited to enterprise edition
Migration highlight
Real‑time fleet telemetry processing
Ingests millions of vehicle metrics per minute, runs on‑edge compute, and provides predictive alerts via TDgpt.
Why teams choose it
Watch for
Learning curve for hypertable design and policies
Migration highlight
IoT Device Telemetry Monitoring
Ingest millions of sensor readings per day, query recent trends instantly, and retain historic data at 90 % reduced storage.
Why teams choose it
Watch for
Relatively new GA release (April 2025) with evolving feature set
Migration highlight
Server Infrastructure Monitoring
Operations teams visualize CPU, memory, and disk metrics across thousands of servers with real-time dashboards updating every second.
Why teams choose it
Watch for
Requires understanding of distributed database concepts for optimal deployment
Migration highlight
IoT Sensor Data Analytics
Ingest thousands of sensor readings per second and run real-time SQL queries for anomaly detection and trend analysis across distributed clusters.