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DBMS > Atos Standard Common Repository vs. CockroachDB vs. EJDB vs. Google Cloud Spanner vs. Kinetica

System Properties Comparison Atos Standard Common Repository vs. CockroachDB vs. EJDB vs. Google Cloud Spanner vs. Kinetica

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCockroachDB  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKinetica  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 networksCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Fully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cockroachlabs.comgithub.com/­Softmotions/­ejdbcloud.google.com/­spannerwww.kinetica.com
Technical documentationwww.cockroachlabs.com/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­spanner/­docsdocs.kinetica.com
DeveloperAtos Convergence CreatorsCockroach LabsSoftmotionsGoogleKinetica
Initial release20162015201220172012
Current release170324.1.0, May 20247.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCC, C++
Server operating systemsLinuxLinux
macOS
Windows
server-lesshostedLinux
Data schemeSchema and schema-less with LDAP viewsdynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyes infostring, integer, double, bool, date, object_idyesyes
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, wire compatible with PostgreSQLnoyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statements
APIs and other access methodsLDAPJDBCin-process shared librarygRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersyesnononoyes 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 divisionhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTnoneMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlLDAP bind authenticationRole-based access controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table level

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More resources
Atos Standard Common RepositoryCockroachDBEJDBGoogle Cloud SpannerKinetica
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