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DBMS > Ignite vs. InterSystems Caché vs. Linter vs. Postgres-XL vs. VelocityDB

System Properties Comparison Ignite vs. InterSystems Caché vs. Linter vs. Postgres-XL vs. VelocityDB

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLinter  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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.A multi-model DBMS and application serverRDBMS for high security requirementsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteignite.apache.orgwww.intersystems.com/­products/­cachelinter.ruwww.postgres-xl.orgvelocitydb.com
Technical documentationapacheignite.readme.io/­docsdocs.intersystems.comwww.postgres-xl.org/­documentationvelocitydb.com/­UserGuide
DeveloperApache Software FoundationInterSystemsrelex.ruVelocityDB Inc
Initial release2015199719902014 infosince 2012, originally named StormDB2011
Current releaseApache Ignite 2.62018.1.4, May 202010 R1, October 20187.x
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC and C++CC#
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Any that supports .NET
Data schemeyesdepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesyes infodistributed, parallel query executionno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functionsno
Triggersyes (cache interceptors and events)yesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCCACID
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.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
IgniteInterSystems CachéLinterPostgres-XLVelocityDB
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