QuintaDB
QuintaDB is an open-source database optimized for time-series data. It allows high-performance analytics while reducing infrastructure costs. QuintaDB handles time-series workloads such as IoT sensor data, DevOps monitoring, and real-time analytics.
timeseries
opensource
database
analytics
iot
QuintaDB: Open-Source Time-Series Database
High-performance, cost-effective database for time-series data analytics, ideal for IoT sensor data, DevOps monitoring, and real-time insights.
What is QuintaDB?
QuintaDB is an open-source, high-performance time-series database optimized for analytics. It is designed to efficiently store and analyze numeric sensor data that is constantly being generated over time, known as time-series data.
Some key features and benefits of QuintaDB include:
- Specialized optimization for the time-dimension in time-series data workloads
- Columnar storage and advanced compression to reduce disk usage and costs
- High query performance for analytics with aggregation functions like min, max, sum, avg, etc.
- Data partitioning schemes that scale analytically across nodes
- Native support for downsampling and data retention policies
- Open-source with commercial support available
QuintaDB excels at IoT, DevOps, and industrial time-series analytics use cases. It can consolidate metrics and log data from a variety of sources for monitoring and analytics. The columnar storage allows analyzing over billions of rows with fast response times. Enterprises can leverage QuintaDB's scalability to cost-efficiently analyze massive amounts of time-series data.
QuintaDB Features
Features
- Time-series optimized
- Columnar storage
- Data compression
- Query acceleration
- High ingestion rates
- Cloud native
Pricing
- Open Source
Pros
Fast time-series queries
Low infrastructure costs
Easy to use
Open source
Cons
Limited to time-series data
Less mature than leading databases
Lacks some advanced features
Official Links
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