DBMS > Apache Druid vs. Riak TS

System Properties Comparison Apache Druid vs. Riak TS

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Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

Primary database model

Relational DBMS
Time Series DBMS

Time Series DBMS

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Trend Chart

Score	3.05
Rank	#84	Overall
	#45	Relational DBMS
	#7	Time Series DBMS

Score	0.16
Rank	#320	Overall
	#27	Time Series DBMS

Website

druid.apache.org

Technical documentation

druid.apache.org/docs/latest/design

www.tiot.jp/riak-docs/riak/ts/latest

Developer

Apache Software Foundation and contributors

Open Source, formerly Basho Technologies

Initial release

2012

2015

Current release

30.0.0, June 2024

3.0.0, September 2022

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Erlang

Server operating systems

Linux
OS X
Unix

Linux
OS X

Data scheme

yes

schema-less columns are supported

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

restricted

SQL

Support of SQL

SQL for querying

yes, limited

APIs and other access methods

JDBC
RESTful HTTP/JSON API

HTTP API
Native Erlang Interface

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

links between datasets can be stored

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources

Recent citations in the news

How to connect DataGrip to Apache Druid
18 October 2021, Towards Data Science

Apache® Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers’ Choice Awards
26 January 2024, Business Wire

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

Imply Polaris brings Apache Druid database to the cloud
1 March 2022, TechTarget

Streaming fast: Druid’s event-based database practices for sub-second trillion row response
21 February 2022, Blocks and Files

provided by Google News

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, Analytics India Magazine

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