Open Source Last9 Alternatives
A curated collection of the 2 best open source alternatives to Last9.
The best open source alternative to Last9 is OpenObserve. If that doesn't suit you, we've compiled a ranked list of other open source Last9 alternatives to help you find a suitable replacement. Other interesting open source alternative to Last9 is VictoriaMetrics.
Last9 alternatives are mainly Monitoring & Observability but may also be Databases. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Last9.
A single-binary observability platform for logs, metrics, traces and RUM, aimed at teams priced out of Datadog or Elasticsearch.
OpenObserve gathers logs, metrics, traces, analytics, real user monitoring and AI observability into one platform, offered as an alternative to Datadog, Splunk and Elasticsearch for teams that cannot carry their cost.
Storage is Parquet columnar files on an S3-native design, which the project credits for storage costs up to 140 times lower than Elasticsearch. It is written in Rust and ships as a single binary that is running in under two minutes, with partitioning, indexing and caching cutting the search space for most queries.
The platform is organized around signals rather than separate tools.
- Logs: full-text search, SQL queries, quick filters and a visual query builder over log data.
- Tracing: OpenTelemetry-powered waterfalls, flame graphs and Gantt charts across services.
- Metrics and dashboards: query metrics with SQL or PromQL and build dashboards on any signal.
- Alerts and incidents: alerting and incident tracking sit inside the same interface.
- Multi-tenancy: organizations and streams are first-class concepts with complete data isolation.
A stateless architecture backed by object storage keeps recovery objectives low, and a high availability mode clusters for petabyte workloads. The core is AGPL-3.0, with super cluster federation and federated search across regions reserved for the enterprise edition.
Time series database and Prometheus replacement for teams storing large volumes of metrics without the memory and disk cost.
VictoriaMetrics stores and queries time series data, most often as long-term storage for Prometheus or as a drop-in replacement for Prometheus and Graphite behind Grafana. It is optimized for the awkward case where old series are constantly retired and replaced by new ones at a high rate.
Two deployment shapes are open source under Apache 2.0: a single node and a cluster version. The single node has no dependencies, ships as one small binary, is configured through command-line flags, and the project argues it can stand in for medium-sized clusters built on Thanos, M3DB, Cortex, InfluxDB or TimescaleDB.
Ingestion and querying accept a wide spread of formats.
- Query languages: PromQL, and MetricsQL, the project's own faster dialect of it.
- Ingestion protocols: Prometheus remote write and exposition format, InfluxDB line protocol, Graphite, OpenTSDB, OpenTelemetry, DataDog, NewRelic, JSON, CSV and a native binary format.
- Stream aggregation: aggregate as data arrives, which lets it take the place of StatsD.
- Global query view: many Prometheus instances write into one store and are read with a single query.
- Operations: instant snapshots for backup and restore, metrics relabeling, a cardinality limiter and NFS-based storage such as Amazon EFS.
Published benchmarks claim up to seven times less RAM than Prometheus, Thanos or Cortex, and heavier compression than TimescaleDB, with Grammarly, Roblox, Wix and Spotify among the case studies. An enterprise edition adds anomaly detection, downsampling, multiple retentions and backup automation.
