DBMS > EsgynDB vs. Kinetica vs. MonetDB vs. OrientDB

System Properties Comparison EsgynDB vs. Kinetica vs. MonetDB vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Fully vectorized database across both GPUs and CPUs

A relational database management system that stores data in columns

Multi-model DBMS (Document, Graph, Key/Value)

Primary database model

Relational DBMS

Document store
Graph DBMS
Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	0.21
Rank	#288	Overall
	#134	Relational DBMS

Score	0.66
Rank	#212	Overall
	#103	Relational DBMS

Score	1.81
Rank	#131	Overall
	#64	Relational DBMS

Score	5.14
Rank	#79	Overall
	#14	Document stores
	#5	Graph DBMS
	#12	Key-value stores

Website

Technical documentation

www.kinetica.com/docs

www.monetdb.org/Documentation

www.orientdb.com/docs/last/index.html

Developer

Esgyn

Kinetica

MonetDB BV

OrientDB LTD; CallidusCloud; SAP

Initial release

2015

2012

2004

2010

Current release

7.1, August 2021

Jul2021-SP2, July 2021

3.1.9, February 2021

License

Commercial or Open Source

commercial

Open Source

Mozilla Public License 2.0

Open Source

Apache version 2

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++, Java

C, C++

Java

Server operating systems

Linux

FreeBSD
Linux
OS X
Solaris
Windows

All OS with a Java JDK (>= JDK 6)

Data scheme

yes

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

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

SQL

Support of SQL

yes

SQL-like DML and DDL statements

yes

SQL 2003 with some extensions

SQL-like query language, no joins

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

C++
Java
JavaScript (Node.js)
Python

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

yes, in SQL, C, R

Java, Javascript

Triggers

yes

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

yes

Hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding via remote tables

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

Source-replica replication

none

Source-replica replication available in experimental status

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

could be achieved with distributed queries

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

relationship in graphs

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

fine grained access rights according to SQL-standard

Access rights for users and roles on table level

fine grained access rights according to SQL-standard

Access rights for users and roles; record level security configurable

More information provided by the system vendor

Specific characteristics

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

Column-store In-memory optimized GeoSpatial support JSON document support
» more

Competitive advantages

Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more

Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more

Typical application scenarios

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

Analytical database, Data warehouse, OLAP Data mining Scientific database
» more

Key customers

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

Numascale , Spinque , SecurActive , CHS , NOZHUP
» 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

Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

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Recent citations in the news

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

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

Kinetica Database Now on Azure
14 October 2021, insideHPC

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

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

provided by Google News

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Tracing Stars with MonetDB in the Cloud
10 August 2015, Centrum Wiskunde & Informatica (CWI)

Database consulting company MonetDB Solutions newest spin-off CWI
21 November 2013, Centrum Wiskunde & Informatica (CWI)

provided by Google News

Document Databases Software Market is Expected to Reach US$ 43.33 Bn by the End of 2031-MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis – The Daily Vale
23 May 2022, The Daily Vale

Graph Database Market – A Comprehensive Study by Key Players:Oracle, IBM, Neo Technology, OrientDB, Franz, DataStax, Sirma AI, ArangoDB GmbH, Sparsity Technologies, Objectivity – The Daily Vale
23 May 2022, The Daily Vale

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23 May 2022, The Daily Vale

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12 May 2022, Digital Journal

NoSQL Databases Software Market – A Comprehensive Study by Key Players:MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis – The Daily Vale
23 May 2022, The Daily Vale

provided by Google News

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