DBMS > Greenplum vs. LokiJS vs. Machbase Neo vs. MarkLogic vs. Riak KV

System Properties Comparison Greenplum vs. LokiJS vs. Machbase Neo vs. MarkLogic vs. Riak KV

Editorial information provided by DB-Engines

Name

Description

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

In-memory JavaScript DBMS

TimeSeries DBMS for AIoT and BigData

Operational and transactional Enterprise NoSQL database

Distributed, fault tolerant key-value store

Primary database model

Relational DBMS

Document store

Time Series DBMS

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Secondary database models

Document store
Spatial DBMS

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

Score	8.08
Rank	#48	Overall
	#31	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	0.17
Rank	#337	Overall
	#30	Time Series DBMS

Score	5.18
Rank	#63	Overall
	#11	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#7	Search engines

Score	4.01
Rank	#79	Overall
	#9	Key-value stores

Website

greenplum.org

github.com/techfort/LokiJS

machbase.com

www.progress.com/marklogic

Technical documentation

docs.greenplum.org

techfort.github.io/LokiJS

machbase.com/dbms

www.progress.com/marklogic/documentation

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

Developer

Pivotal Software Inc.

Machbase

MarkLogic Corp.

OpenSource, formerly Basho Technologies

Initial release

2005

2014

2013

2001

2009

Current release

7.0.0, September 2023

V8.0, August 2023

11.0, December 2022

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

commercial

free test version available

commercial

restricted free version is available

Open Source

Apache version 2, commercial enterprise edition

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

JavaScript

C++

Erlang

Server operating systems

Linux

server-less, requires a JavaScript environment (browser, Node.js)

Linux
macOS
Windows

Linux
OS X
Windows

Linux
OS X

Data scheme

yes

schema-free

yes

schema-free

Schema can be enforced

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.

yes

since Version 4.2

yes

Secondary indexes

yes

via views

yes

restricted

SQL

Support of SQL

yes

SQL-like query language

yes

SQL92

APIs and other access methods

JDBC
ODBC

JavaScript API

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

HTTP API
Native Erlang Interface

Supported programming languages

C
Java
Perl
Python
R

JavaScript

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

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

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

yes

View functions in JavaScript

yes

via XQuery or JavaScript

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

selectable replication factor

yes

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

links between data sets can be stored

Transaction concepts

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

ACID

atomic operations within a single collection possible

ACID

can act as a resource manager in an XA/JTA transaction

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

yes

In-memory capabilities

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

yes

volatile and lookup table

yes, with Range Indexes

User concepts

Access control

fine grained access rights according to SQL-standard

simple password-based access control

Role-based access control at the document and subdocument levels

yes, using Riak Security

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More resources

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