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DBMS > Hazelcast vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. SpatiaLite vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. SpatiaLite vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpatiaLite  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA widely adopted in-memory data gridA multi-model DBMS and application serverA Wide Column Store for rapid development using massive semi-structured datasetsSpatial extension of SQLiteMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Wide column storeSpatial DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehazelcast.comwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­storage/­tableswww.gaia-gis.it/­fossil/­libspatialite/­indexwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docsdocs.intersystems.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastInterSystemsMicrosoftAlessandro FurieriRocket Software
Initial release20081997201220081985
Current release5.3.6, November 20232018.1.4, May 20205.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedserver-lessAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freedepending on used data modelschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 strategyyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyesnonoyes
Triggersyes infoEventsyesnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate 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 commitedACIDoptimistic lockingACIDACID infoconfigurable
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 controlRole-based access controlAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesnoAccess rights according to SQL-standard and operating system based

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More resources
HazelcastInterSystems CachéMicrosoft Azure Table StorageSpatiaLiteUniData,UniVerse
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