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DBMS > Hazelcast vs. Kinetica vs. MarkLogic vs. Transbase vs. VelocityDB

System Properties Comparison Hazelcast vs. Kinetica vs. MarkLogic vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitehazelcast.comwww.kinetica.comwww.progress.com/­marklogicwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationhazelcast.org/­imdg/­docsdocs.kinetica.comwww.progress.com/­marklogic/­documentationwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperHazelcastKineticaMarkLogic Corp.Transaction Software GmbHVelocityDB Inc
Initial release20082012200119872011
Current release5.3.6, November 20237.1, August 202111.0, December 2022Transbase 8.3, 20227.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is availablecommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C and C++C#
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesyes
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.yes infothe object must implement a serialization strategynoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infoSQL92yesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
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
ODBC
Proprietary native API
.Net
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functionsyes infovia XQuery or JavaScriptyesno
Triggersyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infocan act as a resource manager in an XA/JTA transactionyesACID
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.yesyes infoGPU vRAM or System RAMyes, with Range Indexesnoyes
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
HazelcastKineticaMarkLogicTransbaseVelocityDB
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