RIAK TS
Riak TS Features
source: http://basho.com/products/riak-ts/
RESILIENCY
Eliminate downtime!
Riak TS has a masterless architecture that automatically replicates data to ensure that your time series data is always available even in the event of hardware or network failures.
SCALABILITY
Easily scale up and down.
Riak TS is a distributed system that easily scales to meet peak demand. You can add and remove capacity seamlessly using commodity hardware for near-linear performance improvement.
OPERATIONAL SIMPLICITY
Easy to operate at scale.
With Riak TS, you can easily add nodes to your cluster and automatically and uniformly distribute data across the cluster. Riak TS is simple to set up and upgrade, and makes it easy to add and remove capacity on demand.
DATA CO-LOCATION
Faster read access.
Riak TS co-locates data together in the same physical part of the cluster based on time range. This enables faster queries so that your time series data is faster to read and analyze.
SQL COMMANDS
Define semi-structured data.
Using Riak TS, semi-structured data can be stored in a schema with defined fields making data easy to read using SQL queries. Data co-location and range queries makes reading your data fast.
SQL RANGE QUERIES
Time-based queries.
SQL queries can consist of standard select statements, which allow you to specify a time range and choose fields within your table. This makes it easy to read and analyze your time series data.
AGGREGATIONS
Rollup and analyze data.
Over time, individual data points are less valuable than aggregate data. When querying large data sets, built-in aggregation dramatically reduces the time it takes to build and run queries.
DATA EXPIRY
Delete unnecessary data.
Riak TS includes data expiry, which allows you to specify when aged data is removed from the database. Once configured, data that only needs to be persisted for a limited time will be automatically and efficiently deleted.
APACHE SPARK CONNECTOR
Integrated operational analytics.
Efficiently analyze data from Riak TS in Apache Spark and store results back in Riak. This seamless integration ensures easier and faster operational analysis of time series data.
ROBUST APIS AND CLIENT LIBRARIES
Build time series applications easily.
Code in Java, Ruby, Python, Erlang, Node.js. — Riak TS makes it easy to build your IoT and time series applications.
MULTI-CLUSTER REPLICATION
Replicate clusters locally or globally
Riak TS makes it easy to replicate clusters across your datacenter or around the world for data geo-location, secondary analytics, or business continuity.
APACHE MESOS FRAMEWORK
Better Resource Management
The Riak Meso Framework provides cluster resource management and “push button” scale-up / scale down for Riak nodes.
Riak TS Features
source: http://basho.com/products/riak-ts/
RESILIENCY
Eliminate downtime!
Riak TS has a masterless architecture that automatically replicates data to ensure that your time series data is always available even in the event of hardware or network failures.
SCALABILITY
Easily scale up and down.
Riak TS is a distributed system that easily scales to meet peak demand. You can add and remove capacity seamlessly using commodity hardware for near-linear performance improvement.
OPERATIONAL SIMPLICITY
Easy to operate at scale.
With Riak TS, you can easily add nodes to your cluster and automatically and uniformly distribute data across the cluster. Riak TS is simple to set up and upgrade, and makes it easy to add and remove capacity on demand.
DATA CO-LOCATION
Faster read access.
Riak TS co-locates data together in the same physical part of the cluster based on time range. This enables faster queries so that your time series data is faster to read and analyze.
SQL COMMANDS
Define semi-structured data.
Using Riak TS, semi-structured data can be stored in a schema with defined fields making data easy to read using SQL queries. Data co-location and range queries makes reading your data fast.
SQL RANGE QUERIES
Time-based queries.
SQL queries can consist of standard select statements, which allow you to specify a time range and choose fields within your table. This makes it easy to read and analyze your time series data.
AGGREGATIONS
Rollup and analyze data.
Over time, individual data points are less valuable than aggregate data. When querying large data sets, built-in aggregation dramatically reduces the time it takes to build and run queries.
DATA EXPIRY
Delete unnecessary data.
Riak TS includes data expiry, which allows you to specify when aged data is removed from the database. Once configured, data that only needs to be persisted for a limited time will be automatically and efficiently deleted.
APACHE SPARK CONNECTOR
Integrated operational analytics.
Efficiently analyze data from Riak TS in Apache Spark and store results back in Riak. This seamless integration ensures easier and faster operational analysis of time series data.
ROBUST APIS AND CLIENT LIBRARIES
Build time series applications easily.
Code in Java, Ruby, Python, Erlang, Node.js. — Riak TS makes it easy to build your IoT and time series applications.
MULTI-CLUSTER REPLICATION
Replicate clusters locally or globally
Riak TS makes it easy to replicate clusters across your datacenter or around the world for data geo-location, secondary analytics, or business continuity.
APACHE MESOS FRAMEWORK
Better Resource Management
The Riak Meso Framework provides cluster resource management and “push button” scale-up / scale down for Riak nodes.
