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DBMS > Hazelcast vs. Solr vs. SpaceTime vs. Splice Machine vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. Solr vs. SpaceTime vs. Splice Machine vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplice Machine  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA widely used distributed, scalable search engine based on Apache LuceneSpaceTime is a spatio-temporal DBMS with a focus on performance.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeSearch engineSpatial DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehazelcast.comsolr.apache.orgwww.mireo.com/­spacetimesplicemachine.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docssolr.apache.org/­resources.htmlsplicemachine.com/­how-it-worksdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastApache Software FoundationMireoSplice MachineRocket Software
Initial release20082006202020141985
Current release5.3.6, November 20239.6.0, April 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2commercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyesoptional
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 strategyyesno
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL InterfaceA subset of ANSI SQL is implementedyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Java 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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJava pluginsnoyes infoJavayes
Triggersyes infoEventsyes infoUser configurable commands triggered on index changesnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedoptimistic lockingnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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 controlyesyesAccess rights for users, groups and roles according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
HazelcastSolrSpaceTimeSplice MachineUniData,UniVerse
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