OpenTSDB

OpenTSDB

OpenTSDB is a powerful time series database designed to handle vast amounts of metrics from various systems, such as MySQL and Apache HTTPd. With its highly optimized data schema, it facilitates rapid aggregations and versatile visualizations. The latest version enhances functionality by allowing non-numeric annotations for improved metadata tracking.

Top OpenTSDB Alternatives

1

KairosDB

KairosDB is a powerful time series database built on Cassandra, enabling efficient data storage and retrieval.

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Blueflood

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

3

Heroic

Heroic is an advanced open-source monitoring system designed for efficient large-scale metric gathering and near real-time analysis.

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4

Hawkular Metrics

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

5

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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6

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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7

VictoriaMetrics Cloud

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8

Circonus IRONdb

Its advanced analytics features enable real-time insights, predictive modeling, and automated anomaly detection...

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CrateDB

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10

Cortex

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11

kdb Insights

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OneTick

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Riak TS

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14

SiriDB

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Timescale

It optimizes performance with automatic partitioning, columnar compression, and real-time analytics...

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Top OpenTSDB Features

  • High scalability with multiple TSDs
  • Supports non-numeric annotations
  • Optimized for fast aggregations
  • Community-contributed collectors
  • Simple HTTP API interaction
  • Telnet-style protocol support
  • GUI for easy management
  • Integration with HBase and Bigtable
  • Low-impact metric collection
  • Real-time graphing capabilities
  • Customizable dashboards
  • Flexible tagging system
  • Community resources and tools
  • Independent TSD operation
  • Automatic load balancing
  • Comprehensive time series data point structure
  • Historical data storage and retrieval.