DBMS > 4D vs. Kinetica vs. STSdb

System Properties Comparison 4D vs. Kinetica vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Fully vectorized database across both GPUs and CPUs

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS

Key-value store

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

Score	2.89
Rank	#107	Overall
	#56	Relational DBMS

Score	0.66
Rank	#212	Overall
	#103	Relational DBMS

Score	0.01
Rank	#345	Overall
	#53	Key-value stores

Website

www.4d.com

www.kinetica.com

github.com/STSSoft/STSdb4

Technical documentation

livedoc.4d.com

www.kinetica.com/docs

Developer

4D, Inc

Kinetica

STS Soft SC

Initial release

1984

2012

2011

Current release

v18 R5, January 2021

7.1, August 2021

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open Source

GPLv2, commercial license available

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++

Server operating systems

OS X
Windows

Linux

Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like DML and DDL statements

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
RESTful HTTP API

.NET Client API

Supported programming languages

4D proprietary IDE
PHP

C++
Java
JavaScript (Node.js)
Python

C#
Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

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

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

Users and groups

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...
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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...
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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...
» more

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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

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Recent citations in the news

GPU Database Market Report SWOT Analysis by 2030 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia – The Daily Vale
25 May 2022, The Daily Vale

GPU Database Market 2021: Current and Future Market Potential for GPU Database : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt – The Daily Vale
25 May 2022, The Daily Vale

GPU Database Market Upcoming Trends, Segmented by Type, Application, End-User and Region -Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda – The
24 May 2022, The Daily Vale

GPU Database Market 2022 – New Technology Innovation, Global Sales Analysis, Future Expansion, Business Overview, Opportunities Analysis & Demand Forecast to 2025
28 April 2022, Digital Journal

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

provided by Google News

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