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thanos
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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mimir
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
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cortex
A horizontally scalable, highly available, multi-tenant, long term Prometheus. (by cortexproject)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
We're fully aware that a large observability ecosystem exists outside of Google and that offering a brand new foundational component of the stack is a very ambitious goal, but OTOH there are use cases that simply cannot be addressed by Prometheus (pretty much like they couldn't be addressed by Borgmon). Besides, we plan to integrate with existing leading technologies such as OpenTelemetry and ease hypothetical migrations e.g. by writing a scraper for Prometheus clients that actually writes data to our database.
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.