DBMS > Geode vs. VoltDB vs. YottaDB

System Properties Comparison Geode vs. VoltDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

A fast and solid embedded Key-value store

Primary database model

Key-value store

Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.35
Rank	#154	Overall
	#25	Key-value stores

Score	1.23
Rank	#161	Overall
	#72	Relational DBMS

Score	0.19
Rank	#312	Overall
	#47	Key-value stores

Website

geode.apache.org

www.voltdb.com

yottadb.com

Technical documentation

geode.apache.org/docs

docs.voltdb.com

yottadb.com/resources/documentation

Developer

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

VoltDB Inc.

YottaDB, LLC

Initial release

2002

2010

2001

Current release

1.1, February 2017

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available as Gemfire

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, C++

Server operating systems

All OS with a Java VM

the JDK (8 or later) is also required

Linux
OS X

for development

Docker
Linux

Data scheme

schema-free

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

SQL

Support of SQL

SQL-like query language (OQL)

yes

only a subset of SQL 99

by using the Octo plugin

APIs and other access methods

Java Client API
Memcached protocol
RESTful HTTP API

Java API
JDBC
RESTful HTTP/JSON API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
All JVM based languages
C++
Groovy
Java
Scala

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

user defined functions

Java

Triggers

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

FOREIGN KEY constraints are not supported

Transaction concepts

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

yes, on a single node

ACID

Transactions are executed single-threaded within stored procedures

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights per client and object definable

Users and roles with access to stored procedures

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

Chapter 1. Introduction to Pivotal GemFire In-Memory Data Grid and Apache Geode
15 November 2018, oreilly.com

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TIBCO Announces Acquisition of High-Performance In-Memory Data Platform SnappyData
7 March 2019, PR Newswire

Scaling Data Services with Pivotal GemFire[Book]
15 November 2018, oreilly.com

HPE acquires Ampool to gain distributed SQL engine
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31 August 2021, PR Newswire

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26 October 2021, citybiz

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

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3 April 2014, The Fast Mode

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20 August 2018, Geospatial World

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