Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.
 
When run in a cluster, Cortex can replicate data between machines. This allows you to survive machine failure without gaps in your graphs. Cortex can isolate data and queries from multiple different independent Prometheus sources in a single cluster, allowing untrusted parties to share the same cluster.
 
Cortex supports Amazon DynamoDB, Google Bigtable, Cassandra, S3, GCS and Microsoft Azure for long term storage of metric data. This allows you to durably store data for longer than the lifetime of any single machine, and use this data for long term capacity planning.

Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.



Cortex - A multitenant, horizontally scalable Prometheus as a Service

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 
 
VictoriaMetrics provides global query view. Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics. Later this data may be queried via a single query.

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 

VictoriaMetrics - Fast, cost-effective and scalable monitoring solution and time series database

Promscale is an open-source long-term store for Prometheus data designed for analytics. It is a horizontally scalable, highly-compressed, and operationally mature platform for Prometheus data that offers the combined power of PromQL and SQL, enabling developers to ask any question, create any dashboard, and achieve greater visibility into their systems. Promscale is built on top of TimescaleDB, the leading relational database for time-series.

Promscale - An open-source analytical platform for Prometheus metrics

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Cortex - A multitenant, horizontally scalable Prometheus as a Service

VictoriaMetrics - Fast, cost-effective and scalable monitoring solution and time series database

Promscale - An open-source analytical platform for Prometheus metrics

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Cortex - A multitenant, horizontally scalable Prometheus as a Service

VictoriaMetrics - Fast, cost-effective and scalable monitoring solution and time series database

Promscale - An open-source analytical platform for Prometheus metrics

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