DBMS > Kinetica vs. Riak TS

System Properties Comparison Kinetica vs. Riak TS

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Our visitors often compare Kinetica and Riak TS with Microsoft SQL Server, TimescaleDB and InfluxDB.

Editorial information provided by DB-Engines

Name

Description

Fully vectorized database across both GPUs and CPUs

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

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.55
Rank	#230	Overall
	#110	Relational DBMS

Score	0.21
Rank	#288	Overall
	#24	Time Series DBMS

Website

www.kinetica.com

riak.com/products/riak-ts

Technical documentation

www.kinetica.com/docs

Developer

Kinetica

Basho Technologies

Initial release

2012

2015

Current release

7.1, August 2021

License

Commercial or Open Source

commercial

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, C++

Erlang

Server operating systems

Linux

Linux
OS X

Data scheme

yes

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-like DML and DDL statements

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

HTTP API
Native Erlang Interface

Supported programming languages

C++
Java
JavaScript (Node.js)
Python

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

user defined functions

JavaScript and Erlang

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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 or Eventual Consistency depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

yes

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.

yes

GPU vRAM or System RAM

User concepts

Access control

Access rights for users and roles on table level

More information provided by the system vendor

Specific characteristics

Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more

Competitive advantages

Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Typical application scenarios

Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more

Key customers

Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more

Market metrics

The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more

Licensing and pricing models

Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Massive Growth of Graphics Processing Units (GPU) Database Market by 2029 | OmniSci, Kinetica DB Inc., SQream Technologies – Shanghaiist
9 August 2022, Shanghaiist

GPU Database Market Share, Key Dynamics 2022 Global Growth Insights, Key Players Analysis, Industry Segmentation, Latest Technologies and Emerging Trends Forecast to 2029
25 July 2022, Digital Journal

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

GPU Database Market 2022-2028 | Growth, Size, Shares, Revenue, Types, Applications, Key Players, Top Countries, Growing Factors, Key Dynamics, Emerging Technologies
3 August 2022, Yahoo Finance

GPU Database: Market 2022 Outlook by Market Entry Strategies, Countermeasures of Economic Impact & Forecast by 2028 with Top Players | HeteroDB, Blazegraph, Graphistry, SQream – Shanghaiist
4 August 2022, Shanghaiist

provided by Google News

Riak TS for time series analysis at scale
29 September 2016, Opensource.com

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

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Handling unstructured IoT data in the enterprise
7 October 2015, ITProPortal

provided by Google News

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