Redis as a Time Series Database
Designed for Real Time Speed and Scale
Built to handle billions of metrics and events for real-time queries, RedisTimeSeries integrates instant analytics, event handling, and time-based data to extract meaningful insights. RedisTimeSeries is optimized to run at the rate of millions of read and write operations per second and is perfectly suited for Internet of Things (IoT), operational use cases, IT management and activity tracking solutions that collect, process and analyze high volumes of time-based data.
Index your data by timestamp and can ingest over 50K data frames per second per node.
Simple & fast date range queries
Use built-in commands for querying between timestamps and aggregating by time intervals.
Rule-based data manipulation
Use rules for aggregating and consolidating data in real-time as it is added to the database.
Retention period for data
Automatically evict data to eliminate after-the-fact cleanup and efficiently utilize resources.
RedisTimeSeries is integrated with popular data collection, analytics and monitoring libraries, including
Telegraf for data ingest
Telegraf offers an output plugin for RedisTimeSeries, so you can pass on time-series data collected and processed by Telegraf to a RedisTimeSeries database.
Clients in Go and Java
RedisTimeSeries has native clients for Go (redistimeseries-go) and Java (JRedisTimeSeries), which are developed and maintained by Redis Labs.
Redis Enterprise Advantages for RedisTimeSeries
With multiple deployment architectures across multiple clouds and on-premises, remove the burden of building a custom solution
Bring high availability, data consistency and auto-failover to your time series database for a robust enterprise-grade solution
Keep data safe in-memory with multiple persistence options, diskless replication and tunable consistency
Use a multi-model database for your heterogeneous data and connect it seamlessly with your time series data for multiple use cases
Become familiar with the Time Series module and learn how best to use it in your environment.
Get Started Right Away
Check out the Time Series module, in preview, and give it a try with a free download.
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