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DBMS > Coveo vs. HEAVY.AI vs. Oracle Coherence vs. Sphinx

System Properties Comparison Coveo vs. HEAVY.AI vs. Oracle Coherence vs. Sphinx

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOracles in-memory data grid solutionOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­java/­coherencesphinxsearch.com
Technical documentationdocs.coveo.comdocs.heavy.aidocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docs
DeveloperCoveoHEAVY.AI, Inc.OracleSphinx Technologies Inc.
Initial release2012201620072001
Current release5.10, January 202214.1, August 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJavaC++
Server operating systemshostedLinuxAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
JCache
JPA
RESTful HTTP API
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersyesnoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes 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
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationno

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More resources
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle CoherenceSphinx
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