DBMS > Apache Ignite vs. Trafodion vs. VoltDB

System Properties Comparison Apache Ignite vs. Trafodion vs. VoltDB

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Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

Transactional SQL-on-Hadoop DBMS

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

Primary database model

Key-value store
Relational DBMS

Relational DBMS

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

Score	2.99
Rank	#86	Overall
	#12	Key-value stores
	#47	Relational DBMS

Score	1.23
Rank	#161	Overall
	#72	Relational DBMS

Website

ignite.apache.org

trafodion.apache.org

www.voltdb.com

Technical documentation

apacheignite.readme.io/docs

trafodion.apache.org/documentation.html

docs.voltdb.com

Developer

Apache Software Foundation

Apache Software Foundation, originally developed by HP

VoltDB Inc.

Initial release

2015

2014

2010

Current release

2.16.0, December 2023

2.3.0, February 2019

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 2.0

Open Source

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

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, .Net

C++, Java

Java, C++

Server operating systems

Linux
OS X
Solaris
Windows

Linux

Linux
OS X

for development

Data scheme

yes

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

Secondary indexes

yes

SQL

Support of SQL

ANSI-99 for query and DML statements, subset of DDL

yes

only a subset of SQL 99

APIs and other access methods

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

ADO.NET
JDBC
ODBC

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

All languages supporting JDBC/ODBC/ADO.Net

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

Java Stored Procedures

Java

Triggers

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

yes, via HBase

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

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

In-memory capabilities

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

yes

User concepts

Access control

Security Hooks for custom implementations

fine grained access rights according to SQL-standard

Users and roles with access to stored procedures

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More resources

Recent citations in the news

The Apache Software Foundation Announces Apache Ignite® 3.0
24 February 2025, GlobeNewswire

GridGain Helps Advance Real-Time Distributed Databases for High-Performance Applications Through Contributions to Apache Ignite 3.0
24 February 2025, PR Newswire

Apache Software Foundation Unveils Apache Ignite 3.0 for High-Performance Distributed Applications
25 February 2025, MyChesCo

Critical Flaw in Apache Ignite (CVE-2024-52577) Allows Attackers to Execute Code Remotely
19 February 2025, GBHackers

Critical Apache Ignite Vulnerability Let Attackers Execute Remote Code
19 February 2025, CybersecurityNews

provided by Google News

The Apache® Software Foundation Announces Annual Report for 2021 Fiscal Year
31 August 2021, Yahoo Canada Sports

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

Fig. 4. Pictorial Representation of NoSQL III. NEWSQL DATABASE New SQL...
24 May 2019, ResearchGate

provided by Google News

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Announces Key New Hires
26 October 2021, citybiz

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

Big Data, Fast Data: The Need for In-Memory Database Technology
3 May 2018, O'Reilly Media

VoltDB Reveals Key Features to Optimize 5G, Cloud, and Edge
28 June 2021, PR Newswire

provided by Google News

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