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DBMS > Hyprcubd vs. Oracle Coherence vs. Sphinx vs. Warp 10

System Properties Comparison Hyprcubd vs. Oracle Coherence vs. Sphinx vs. Warp 10

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSOracles in-memory data grid solutionOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value storeSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#131  Overall
#22  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitehyprcubd.com (offline)www.oracle.com/­java/­coherencesphinxsearch.comwww.warp10.io
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperHyprcubd, Inc.OracleSphinx Technologies Inc.SenX
Initial release200720012015
Current release14.1, August 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++Java
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesnoyes
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.nonono
Secondary indexesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)no
APIs and other access methodsgRPC (https)JCache
JPA
RESTful HTTP API
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languages.Net
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononoyes infoWarpScript
Triggersnoyes infoLive Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurablenono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes 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.noyesyes
User concepts infoAccess controltoken accessauthentification to access the cache via certificates or http basic authenticationnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HyprcubdOracle CoherenceSphinxWarp 10
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