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DBMS > Hazelcast vs. Sphinx vs. TimesTen vs. Transwarp Hippo

System Properties Comparison Hazelcast vs. Sphinx vs. TimesTen vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA widely adopted in-memory data gridOpen source search engine for searching in data from different sources, e.g. relational databasesAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeSearch engineRelational DBMSVector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitehazelcast.comsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationhazelcast.org/­imdg/­docssphinxsearch.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperHazelcastSphinx Technologies Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2008200119982023
Current release5.3.6, November 20233.5.1, February 2023Release 22.11.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2, commercial licence availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesVector, Numeric and String
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 indexesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocolODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
C++
Java
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnoPL/SQLno
Triggersyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rights

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HazelcastSphinxTimesTenTranswarp Hippo
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