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DBMS > Hazelcast vs. Hypertable vs. Lovefield vs. ObjectBox vs. Sphinx

System Properties Comparison Hazelcast vs. Hypertable vs. Lovefield vs. ObjectBox vs. Sphinx

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScriptExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeWide column storeRelational DBMSObject oriented DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitehazelcast.comgoogle.github.io/­lovefieldobjectbox.iosphinxsearch.com
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.objectbox.iosphinxsearch.com/­docs
DeveloperHazelcastHypertable Inc.GoogleObjectBox LimitedSphinx Technologies Inc.
Initial release20082009201420172001
Current release5.3.6, November 20230.9.8.11, March 20162.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptC and C++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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 strategynono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language infovia JavaScript builder patternnoSQL-like query language (SphinxQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
Proprietary native APIProprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
JavaScriptC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnononono
Triggersyes infoEventsnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor on file system levelnoneonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
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 integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlRole-based access controlnonoyesno
More information provided by the system vendor
HazelcastHypertableLovefieldObjectBoxSphinx
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