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DBMS > Atos Standard Common Repository vs. Drizzle vs. HEAVY.AI vs. JaguarDB vs. Kinetica

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. HEAVY.AI vs. JaguarDB vs. Kinetica

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePerformant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­heavyai/­heavydb
www.heavy.ai
www.jaguardb.comwww.kinetica.com
Technical documentationdocs.heavy.aiwww.jaguardb.com/­support.htmldocs.kinetica.com
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.DataJaguar, Inc.Kinetica
Initial release20162008201620152012
Current release17037.2.4, September 20125.10, January 20223.3 July 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++ and CUDAC++ infothe server part. Clients available in other languagesC, C++
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsLDAPJDBCJDBC
ODBC
Thrift
Vega
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.nonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles on table level

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More resources
Atos Standard Common RepositoryDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JaguarDBKinetica
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