OpenTSDB

OpenTSDB

OpenTSDB is a distributed, scalable time series database optimized for storing and serving massive amounts of time series data without losing granularity. It's designed to be used as a backend for monitoring systems and analytics platforms.
OpenTSDB image
time-series monitoring analytics

OpenTSDB: Distributed Time Series Database

A scalable database optimized for storing time series data without losing granularity, suitable for backend use in monitoring systems and analytics platforms.

What is OpenTSDB?

OpenTSDB is an open source, distributed time series database written on top of HBase. It is specifically designed to store and serve massive amounts of time series data without losing granularity, making it well-suited for monitoring use cases that require high reliability and scalability.

Some key features of OpenTSDB include:

  • Scalability - Built on HBase for partitioning and horizontal scalability. Can store and serve billions of data points.
  • High performance write and read access - Optimized for write throughput and low latency reads.
  • Tag-based time series indexing - Flexible metadata model to store dimensions and attributes with timeseries.
  • Downsampling/Rollups - Automatically aggregate and downsample data while storing to reduce storage costs.
  • Graphing and visualization - Query API with client libraries to easily visualize and serve time series data.
  • Reliability - No single point of failure. Data is redundantly stored.

With features tailored specifically for metrics collection and analytics, OpenTSDB is well suited for monitoring infrastructure and application performance. It scales horizontally to handle any incoming volume of metrics data with reliable data retention. It's typically used by monitoring systems, analytics platforms, DevOps teams, and cloud infrastructure providers.

OpenTSDB Features

Features

  1. Distributed and horizontally scalable architecture
  2. Built on top of HBase for reliability and scalability
  3. Customizable rollup tables for aggregating data
  4. Tag-based metric model for organizing time series data
  5. HTTP API for writing and querying data
  6. Support for downsampling and aggregation of data
  7. Plugin architecture for adding functionality

Pricing

  • Open Source

Pros

Handles massive amounts of time series data

Low latency queries

Easy to scale horizontally

Integrates well with Hadoop ecosystem

Open source and free to use

Cons

Limited ad-hoc querying capabilities

Steep learning curve

Not optimized for real-time streaming data

No built-in visualization or dashboarding


The Best OpenTSDB Alternatives

Top Development and Databases and other similar apps like OpenTSDB


InfluxDB icon

InfluxDB

InfluxDB is an open-source time series database optimized for fast, high-availability storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics.As a time series database, InfluxDB specializes in handling time stamped data, such as server monitoring data,...
InfluxDB image
RRDTool icon

RRDTool

RRDTool (Round Robin Database Tool) is an open source data logging and graphing system for time series data. It allows you to store numeric data over time and then visualize that data through graphs and charts.Some key features of RRDTool include:Efficient storage of time-series data through round-robin databasesAutomated data consolidation...
RRDTool image
VictoriaMetrics icon

VictoriaMetrics

VictoriaMetrics is an open-source time series database optimized for high-cardinality datasets and high ingestion rates. It is purpose-built for operations monitoring and alerting use cases.Key features and benefits of VictoriaMetrics include:Highly efficient data compression enabling significantly lower storage costs compared to alternatives like PrometheusOptimized for fast data ingestion rates exceeding...
VictoriaMetrics image
Graphite Monitoring icon

Graphite Monitoring

Graphite is an open-source monitoring and graphing tool used to store, visualize, and monitor time-series data from servers, applications, or other systems. It is designed to be highly scalable and robust for handling high volume metric collection and visualization.Some key features and components of Graphite include:Carbon - a high-performance service...
Graphite Monitoring image
Axibase Time Series Database icon

Axibase Time Series Database

Axibase Time Series Database (ATSD) is an open-source time series database optimized for efficiently collecting, storing, analyzing, graphing, alerting, and visualizing numeric time series data from IT infrastructure, application management, industrial sensors, and financial systems.Unlike traditional SQL databases, ATSD employs a non-tabular design to organize time-stamped observations from thousands of...
Axibase Time Series Database image
TimescaleDB icon

TimescaleDB

TimescaleDB is an open-source, relational database optimized for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), yet retains the standard PostgreSQL interface.TimescaleDB scales out complex queries by automatically partitioning data into discrete chunks, then executing queries in parallel across many chunks....
TimescaleDB image
TimeSeries.Guru icon

TimeSeries.Guru

TimeSeries.Guru is a comprehensive software for time series analysis and forecasting. It provides an easy-to-use interface for visualizing, exploring, analyzing, modeling, forecasting, and monitoring time series data.Some key features and capabilities include:Interactive visualizations like time series plots, seasonality plots, correlation plots, residual plots, etc.Decomposition of time series into trend, seasonality,...
KairosDB icon

KairosDB

KairosDB is an open source distributed time series database written in Java that is designed to efficiently store and query massive amounts of time-series data. It is built on top of Apache Cassandra to leverage its scalability and high availability.Some key features of KairosDB include:High write throughput to handle large...
KairosDB image
Beringei icon

Beringei

Beringei is an open-source time series storage engine developed by Facebook to power its monitoring infrastructure. It is designed to ingest and serve high-volume time series data with low latencies to support real-time applications.Some key features of Beringei include:High-performance write path for ingesting data pointsOptimized for storing and retrieving time...
Beringei image
Cube icon

Cube

Cube is an open-source workflow engine and automation platform that allows you to build, schedule, orchestrate and monitor workflows and jobs. Some key features of Cube include:Visual programming interface to build workflows by connecting blocksSupport for over 300 app integrations via built-in and custom blocksScheduling capabilities to run workflows on...
Cube image
Reconnoiter icon

Reconnoiter

Reconnoiter is an open-source monitoring and alerting tool optimized for operating efficiently at scale in production environments. It is designed to provide comprehensive monitoring for systems infrastructure and applications with minimal overhead.Some key capabilities and features of Reconnoiter include:Lightweight agent allowing efficient monitoring of thousands of systemsCustomizable checks and alerts...
Reconnoiter image