DBMS > GBase vs. Ignite vs. Sphinx vs. ToroDB

System Properties Comparison GBase vs. Ignite vs. Sphinx vs. ToroDB

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Editorial information provided by DB-Engines

Name

Description

An analytical database for business intelligence with large customers in China.

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.

Open source search engine for searching in data from different sources, e.g. relational databases

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Search engine

Document store

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

Score	1.21
Rank	#161	Overall
	#77	Relational DBMS

Score	7.06
Rank	#61	Overall
	#7	Key-value stores
	#35	Relational DBMS

Score	6.95
Rank	#64	Overall
	#8	Search engines

Score	0.03
Rank	#342	Overall
	#45	Document stores

Website

Technical documentation

apacheignite.readme.io/docs

sphinxsearch.com/docs

www.torodb.com/stampede/docs

Developer

Apache Software Foundation

Sphinx Technologies Inc.

8Kdata

Initial release

2015

2001

2016

Current release

GBase 8a

Apache Ignite 2.6

3.4.1, July 2021

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

GPL version 2, commercial licence available

Open Source

AGPL-V3

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

Server operating systems

Linux
OS X
Solaris
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

All OS with a Java 7 VM

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

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

full-text index on all search fields

SQL

Support of SQL

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

SQL-like query language (SphinxQL)

APIs and other access methods

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

Proprietary protocol

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

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

Triggers

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

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

The original contents of fields are not stored in the Sphinx index.

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

Security Hooks for custom implementations

Access rights for users and roles

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More resources

DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

GridGain Appoints Eoin O'Connor as New President and CEO
2 August 2022, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

Apache Ignite Adds Change Data Capture
20 January 2022, iProgrammer

Apache Ignite Changes SQL Engine
5 May 2022, iProgrammer

provided by Google News

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23 July 2022, The Times

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Job opportunities

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