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DBMS > Hazelcast vs. HyperSQL vs. Lovefield vs. Sphinx vs. Teradata

System Properties Comparison Hazelcast vs. HyperSQL vs. Lovefield vs. Sphinx vs. Teradata

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA widely adopted in-memory data gridMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial 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
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitehazelcast.comhsqldb.orggoogle.github.io/­lovefieldsphinxsearch.comwww.teradata.com
Technical documentationhazelcast.org/­imdg/­docshsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docsdocs.teradata.com
DeveloperHazelcastGoogleSphinx Technologies Inc.Teradata
Initial release20082001201420011984
Current release5.3.6, November 20232.7.2, June 20232.1.12, February 20173.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 strategynonoyes
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC
Java
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJava, SQLnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoEventsyesUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapnonenonenoneMulti-source replication
Source-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 integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
HazelcastHyperSQL infoalso known as HSQLDBLovefieldSphinxTeradata
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