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DBMS > Atos Standard Common Repository vs. Interbase vs. Kinetica vs. Oracle Coherence vs. Vertica

System Properties Comparison Atos Standard Common Repository vs. Interbase vs. Kinetica vs. Oracle Coherence vs. Vertica

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonVertica infoOpenText™ Vertica™  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 networksLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.embarcadero.com/­products/­interbasewww.kinetica.comwww.oracle.com/­java/­coherencewww.vertica.com
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencevertica.com/­documentation
DeveloperAtos Convergence CreatorsEmbarcaderoKineticaOracleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20161984201220072005
Current release1703InterBase 2020, December 20197.1, August 202114.1, August 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC, C++JavaC++
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
LinuxAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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.yesno infoexport as XML data possiblenonono
Secondary indexesyesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change ViewsSource-replica replicationyes, with selectable consistency levelMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Atos Standard Common RepositoryInterbaseKineticaOracle CoherenceVertica infoOpenText™ Vertica™
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