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DBMS > EXASOL vs. JaguarDB vs. MarkLogic vs. Netezza vs. Riak TS

System Properties Comparison EXASOL vs. JaguarDB vs. MarkLogic vs. Netezza vs. Riak TS

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSKey-value store
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.exasol.comwww.jaguardb.comwww.marklogic.comwww.ibm.com/­products/­netezza
Technical documentationwww.exasol.com/­resourceswww.jaguardb.com/­support.htmldocs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperExasolDataJaguar, Inc.MarkLogic Corp.IBMOpen Source, formerly Basho Technologies
Initial release20002015200120002015
Current release3.3 July 202311.0, December 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC++Erlang
Server operating systemsLinuxLinux
OS X
Windows
Linux infoincluded in applianceLinux
OS X
Data schemeyesyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL92yesyes, limited
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
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
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
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
Server-side scripts infoStored proceduresuser defined functionsnoyes infovia XQuery or JavaScriptyesErlang
Triggersyesnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardrights management via user accountsRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptno

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More resources
EXASOLJaguarDBMarkLogicNetezza infoAlso called PureData System for Analytics by IBMRiak TS
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