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DBMS > AgensGraph vs. HEAVY.AI vs. Memcached vs. Sphinx

System Properties Comparison AgensGraph vs. HEAVY.AI vs. Memcached vs. Sphinx

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareIn-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitebitnine.net/­agensgraphgithub.com/­heavyai/­heavydb
www.heavy.ai
www.memcached.orgsphinxsearch.com
Technical documentationbitnine.net/­documentationdocs.heavy.aigithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docs
DeveloperBitnine Global Inc.HEAVY.AI, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.
Initial release2016201620032001
Current release2.1, December 20185.10, January 20221.6.29, June 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ and CUDACC++
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesnoSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
Vega
Proprietary protocolProprietary protocol
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoRound robinnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MemcachedSphinx
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