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

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

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIgnite  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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 databasesA hybrid cloud data analytics software platform (Teradata Vantage)A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value store
Relational DBMS
Search engineRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.gbase.cnignite.apache.orgsphinxsearch.comwww.teradata.comgithub.com/­torodb/­server
Technical documentationapacheignite.readme.io/­docssphinxsearch.com/­docsdocs.teradata.com
DeveloperGeneral Data Technology Co., Ltd.Apache Software FoundationSphinx Technologies Inc.Teradata8Kdata
Initial release20042015200119842016
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.63.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC++, Java, .NetC++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
All OS with a Java 7 VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesyesno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)noyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardAccess rights for users and roles

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GBaseIgniteSphinxTeradataToroDB
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