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DBMS > Atos Standard Common Repository vs. Ignite vs. Kinetica vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Ignite vs. Kinetica vs. TerarkDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgwww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationapacheignite.readme.io/­docsdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAtos Convergence CreatorsApache Software FoundationKineticaByteDance, originally Terark
Initial release2016201520122016
Current release1703Apache Ignite 2.67.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC, C++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsAccess rights for users and roles on table levelno

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More resources
Atos Standard Common RepositoryIgniteKineticaTerarkDB
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