OpenTSDB
The Scalable Time Series Database.
Overview
OpenTSDB (Open Time Series Database) is a distributed, scalable time-series database written on top of Apache HBase. It was designed to collect, store, and serve metrics from a large number of sources at a high rate. OpenTSDB has a simple, tag-based data model that allows for flexible and efficient querying of time-series data. It is well-suited for monitoring and operational intelligence use cases.
✨ Key Features
- Scalable to handle billions of data points
- Tag-based data model for flexible querying
- Built on top of the highly scalable Apache HBase
- Simple, HTTP-based API for data ingestion and querying
- Real-time graphing and visualization capabilities
- Support for downsampling and aggregation
🎯 Key Differentiators
- Scalability based on the underlying HBase infrastructure
- Tag-based data model for flexible querying
- Proven track record in large-scale monitoring environments
Unique Value: A highly scalable, open-source time-series database for storing and serving massive amounts of monitoring data, built on the proven foundation of Apache HBase.
🎯 Use Cases (4)
✅ Best For
- Large-scale monitoring of server and network infrastructure
- Storing and analyzing metrics from a large number of distributed systems
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Applications requiring a SQL interface
- Storing non-time-series data
- Environments without an existing Hadoop/HBase infrastructure
🏆 Alternatives
Compared to newer time-series databases, OpenTSDB's reliance on HBase can make it more complex to set up and manage. However, for organizations already using HBase, it provides a powerful and scalable solution for time-series data.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: OpenTSDB is open-source and free to use.
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