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DBMS > Ignite vs. Machbase vs. MarkLogic vs. PostgreSQL

System Properties Comparison Ignite vs. Machbase vs. MarkLogic vs. PostgreSQL

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.TimeSeries DBMS for AIoT and BigDataOperational and transactional Enterprise NoSQL databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.29
Rank#68  Overall
#9  Key-value stores
#36  Relational DBMS
Score0.14
Rank#339  Overall
#31  Time Series DBMS
Score9.32
Rank#52  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score622.72
Rank#4  Overall
#4  Relational DBMS
Websiteignite.apache.orgwww.machbase.comwww.marklogic.comwww.postgresql.org
Technical documentationapacheignite.readme.io/­docsmachbase.atlassian.net/­wiki/­spaces/­MAN/­overviewdocs.marklogic.comwww.postgresql.org/­docs
DeveloperApache Software FoundationMachbaseMarkLogic Corp.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2015201320011989 info1989: Postgres, 1996: PostgreSQL
Current releaseApache Ignite 2.6V6.5, August 20219.0, 201714.5, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree test version availablecommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCC++C
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyes
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.yesnoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infoSQL92yes infostandard with numerous extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infovia XQuery or JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factoryesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyes, with Range Indexesno
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
IgniteMachbase infoFormer name was InfinifluxMarkLogicPostgreSQL
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