EventQL
EventQL is a high-performance, distributed event store and time-series database optimized for large-scale event analytics. It allows ingesting billions of events per day and running complex SQL queries over the raw event data in real-time.
event-store
time-series
analytics
distributed
EventQL: High-Performance Event Store and Time-Series Database
A scalable event analytics solution optimized for large-scale event ingestion and real-time SQL queries, ingesting billions of events per day.
What is EventQL?
EventQL is an open-source database specifically designed for event analytics and real-time analytics use cases. It combines the horizontal scalability and high availability properties of NoSQL databases with the expressiveness and ease-of-use of SQL.
Key capabilities and features of EventQL include:
- Distributed event store that scales horizontally
- Financial Time-Series database with nanosecond precision
- SQL interface for data analysis and reporting
- Advanced aggregation functions for time-series data
- High ingestion rates exceeding 1 million events per second per node
- Extremely fast query response times for trillions of events
- Advanced cluster management features for resharding and changing topologies online
- Strong consistency guarantees
- Query federation across clusters
- Pluggable storage engines (disk, SSD, memcached)
- Operational analytics features like outlier detection or billion-row correlations in seconds
Overall, EventQL is optimized for scalability and real-time analytics of event streams and time-series data. It is used to build large-scale analytics pipelines and event-driven systems that require ingesting and analyzing billions of events with millisecond latency.
EventQL Features
Features
- Distributed event store and time-series database
- High-performance and scalable
- Real-time SQL queries over raw event data
- Built-in caching for fast queries
- Support for ingesting billions of events per day
- Horizontal scaling
- Fault tolerance
Pricing
- Open Source
- Enterprise Subscription
Pros
High throughput and low latency
Scales horizontally
Powerful query capabilities
Open source with enterprise support available
Good documentation
Cons
Limited adoption and community compared to more established options
Not as feature rich as some commercial options
Steep learning curve for advanced features
Official Links
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