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DBMS > GridGain vs. MarkLogic vs. Riak KV vs. Teradata

System Properties Comparison GridGain vs. MarkLogic vs. Riak KV vs. Teradata

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOperational and transactional Enterprise NoSQL databaseDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.gridgain.comwww.marklogic.comwww.teradata.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperGridGain Systems, Inc.MarkLogic Corp.OpenSource, formerly Basho TechnologiesTeradata
Initial release2007200120091984
Current releaseGridGain 8.5.111.0, December 20223.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++Erlang
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
hosted
Linux
Data schemeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyesnoyes
Secondary indexesyesyesrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL92noyes infoSQL 2016 + extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScriptErlangyes infoUDFs, stored procedures, table functions in parallel
Triggersyes (cache interceptors and events)yesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes, with Range Indexesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access control at the document and subdocument levelsyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
GridGainMarkLogicRiak KVTeradata
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