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DBMS > GridGain vs. OrientDB vs. Teradata vs. Vitess

System Properties Comparison GridGain vs. OrientDB vs. Teradata vs. Vitess

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonTeradata  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)A hybrid cloud data analytics software platform (Teradata Vantage)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.gridgain.comorientdb.orgwww.teradata.comvitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmldocs.teradata.comvitess.io/­docs
DeveloperGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPTeradataThe Linux Foundation, PlanetScale
Initial release2007201019842013
Current releaseGridGain 8.5.13.2.29, March 2024Teradata Vantage 1.0 MU2, January 201915.0.2, December 2022
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0, commercial licenses available
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++, .Net, Python, REST, SQLJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
All OS with a Java JDK (>= JDK 6)hosted
Linux
Docker
Linux
macOS
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsyes infoSQL 2016 + extensionsyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java, Javascriptyes infoUDFs, stored procedures, table functions in parallelyes infoproprietary syntax
Triggersyes (cache interceptors and events)Hooksyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes inforelationship in graphsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users and roles; record level security configurablefine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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GridGainOrientDBTeradataVitess
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