Beringei
Beringei is an open-source time series storage engine developed by Facebook. It is optimized for ingesting and serving high-volume time series data with low latencies.
time-series
storage
database
analytics
Beringei: Open-Source Time Series Storage Engine
Open-source, high-performance time series storage engine for ingesting and serving large volumes of data with low latency.
What is 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 points
- Optimized for storing and retrieving time series data
- Custom compression schemes to reduce storage usage
- Built-in caching for low-latency reads
- Horizontal scalability to grow capacity
- Automatic data replication for reliability
Beringei is implemented in C++ and works well for DevOps monitoring, IoT sensor data, or other high-throughput time series data sources. It integrates well with open source data pipelines. The code is available on GitHub under the Apache 2.0 open source license.
Beringei Features
Features
- Stores time series data
- Optimized for high volume ingestion and low latency reads
- Built for resilience with no single point of failure
- Automatically shards data
- Compresses data for efficient storage
- Exposes data via Thrift API
- Supports Cassandra for durable storage
Pricing
- Open Source
Pros
Highly scalable and performant
Resilient architecture
Efficient use of storage
Easy to operate at scale
Open source with active development
Cons
Complex installation and configuration
Requires expertise to tune and operate
Limited to time series data only
Less flexible query capabilities than SQL databases
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