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DBMS > HEAVY.AI vs. Memcached vs. SiriDB vs. Yaacomo

System Properties Comparison HEAVY.AI vs. Memcached vs. SiriDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMemcached  Xexclude from comparisonSiriDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA 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 Time Series DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.memcached.orgsiridb.comyaacomo.com
Technical documentationdocs.heavy.aigithub.com/­memcached/­memcached/­wikidocs.siridb.com
DeveloperHEAVY.AI, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalCesbitQ2WEB GmbH
Initial release2016200320172009
Current release5.10, January 20221.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD licenseOpen Source infoMIT Licensecommercial
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 languageC++ and CUDACC
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
LinuxAndroid
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoNumeric datayes
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 indexesnonoyesyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Proprietary protocolHTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyesSource-replica replication
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolsimple rights management via user accountsfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MemcachedSiriDBYaacomo
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Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

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