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DBMS > GridGain vs. Sphinx vs. Teradata vs. TerminusDB

System Properties Comparison GridGain vs. Sphinx vs. Teradata vs. TerminusDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Search engineRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitewww.gridgain.comsphinxsearch.comwww.teradata.comterminusdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlsphinxsearch.com/­docsdocs.teradata.comterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.Sphinx Technologies Inc.TeradataDataChemist Ltd.
Initial release2007200119842018
Current releaseGridGain 8.5.13.5.1, February 2023Teradata Vantage 1.0 MU2, January 201911.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++Prolog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesyesno
Secondary indexesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)yes infoSQL 2016 + extensionsSQL-like query language (WOQL)
APIs and other access methodsHDFS 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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
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
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardRole-based access control

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