Cortex

Cortex

Cortex enables organizations to store data beyond the lifespan of individual machines, facilitating long-term capacity planning. By optimizing PromQL queries through aggressive parallelization and caching, it provides a global view of time series data across clusters, enhancing analytical capabilities while supporting seamless monitoring of dynamic microservices environments.

Top Cortex Alternatives

1

QuestDB

The world's fastest growing open-source time-series database, QuestDB excels in hyper ingestion and millisecond queries, enabling users to efficiently handle massive datasets.

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2

Circonus IRONdb

Circonus IRONdb is a powerful time series database designed to effortlessly manage vast amounts of telemetry data, capable of handling billions of metric streams.

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3

Blueflood

Blueflood is a robust distributed metric processing system designed for high throughput and low latency.

4

OpenTSDB

OpenTSDB is a powerful time series database designed to handle vast amounts of metrics from various systems, such as MySQL and Apache HTTPd.

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Hawkular Metrics

Hawkular Metrics is a highly scalable, asynchronous time series database designed for multi-tenant environments.

6

VictoriaMetrics

VictoriaMetrics serves as a high-performance open-source time series database, adept at managing vast amounts of time series data across various applications such as IT infrastructure and IoT.

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7

Heroic

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VictoriaMetrics Cloud

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KairosDB

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CrateDB

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OneTick

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kdb Insights

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SiriDB

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Riak TS

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Axibase Time Series Database

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Top Cortex Features

  • Durable long-term data storage
  • Fast PromQL query performance
  • Global Prometheus data view
  • Multi-machine cluster support
  • Horizontal scalability unlimited
  • Cloud native technology adoption
  • Open source under Apache 2.0
  • Integration with Prometheus exporters
  • Service-discovery driven metrics
  • Custom metrics creation support
  • Analytical capabilities for time series
  • High throughput metric ingestion
  • Dynamic environment monitoring
  • Efficient parallel processing
  • Advanced caching mechanisms
  • Long-term capacity planning
  • Support for numerous data sources
  • Real-time monitoring solutions
  • Continuous data availability
  • Enhanced metric collection capabilities.