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DBMS > HEAVY.AI vs. Oracle NoSQL vs. Sphinx

System Properties Comparison HEAVY.AI vs. Oracle NoSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score2.96
Rank#103  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.com
Technical documentationdocs.heavy.aidocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsphinxsearch.com/­docs
DeveloperHEAVY.AI, Inc.OracleSphinx Technologies Inc.
Initial release201620112001
Current release5.10, January 202223.3, December 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJavaC++
Server operating systemsLinuxLinux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesoptionalno
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.nono
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP APIProprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 infooff heap cache
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno

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