pipelinedb Database
PipelineDB is a PostgreSQL extension for high-performance time-series aggregation and analytics.
- Since:2014
- Changelog:github.com
- Dockerhub:pipelinedb
- Github Topic:pipelinedb
- Reddit:r/PostgreSQL
- Repository:github.com
- StackOverflow:[pipelinedb]
- Twitter:@pipelinedb
#What is pipelinedb?
Pipelinedb is a high-performance SQL database designed for real-time analytics processing of streaming data. It is a distributed relational database management system (RDBMS) that can be used to ingest, process, and analyze large streams of data in real-time, making it ideal for use cases that require instant decision-making based on incoming data.
#pipelinedb Key Features
Pipelinedb features:
- Continuous SQL queries that operate on data streams in real-time.
- Horizontal scaling, with support for distributed sharding and replication.
- Built-in data retention policies and automatic data archiving.
- High-performance data ingestion with support for various data sources.
- Integration with popular data visualization and analytics tools.
- Low-latency response times for real-time decision making.
#pipelinedb Use-Cases
Pipelinedb use cases:
- Real-time analytics of IoT data and machine data.
- Fraud detection and prevention for financial transactions.
- Real-time monitoring and alerting of system and application performance.
- Real-time analytics of social media streams for sentiment analysis.
- Real-time analytics of log data for error detection and troubleshooting.
- Real-time analytics of network traffic for security monitoring.
#pipelinedb Summary
Pipelinedb is a distributed SQL database designed for real-time analytics processing of streaming data, with features such as continuous SQL queries, horizontal scaling, and high-performance data ingestion. Its use cases include real-time analytics of IoT data, fraud detection, and real-time monitoring of system performance, among others.
