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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. BigchainDB vs. Kinetica vs. Vitess

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. BigchainDB vs. Kinetica vs. Vitess

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonVitess  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.kinetica.comvitess.io
Technical documentationkylin.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdocs.kinetica.comvitess.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsKineticaThe Linux Foundation, PlanetScale
Initial release20152016201620122013
Current release3.1.0, July 202017037.1, August 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaJavaPythonC, C++Go
Server operating systemsLinuxLinuxLinuxLinuxDocker
Linux
macOS
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntax
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache KylinAtos Standard Common RepositoryBigchainDBKineticaVitess
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