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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonInterbase  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 networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight proven RDBMS infooriginally from BorlandOracles 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
Key-value storeRelational DBMSKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score3.78
Rank#77  Overall
#41  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-repositorygithub.com/­dgraph-io/­badgerwww.embarcadero.com/­products/­interbasewww.oracle.com/­java/­coherencewww.vertica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.embarcadero.com/­products/­interbasedocs.oracle.com/­en/­middleware/­standalone/­coherencevertica.com/­documentation
DeveloperAtos Convergence CreatorsDGraph LabsEmbarcaderoOracleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20162017198420072005
Current release1703InterBase 2020, December 201914.1, August 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial 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 languageJavaGoCJavaC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-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 dateoptionalnoyesyesyes
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.yesnono infoexport as XML data possiblenono
Secondary indexesyesnoyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
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 bindingsGo.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languagenoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyesyes infoLive Eventsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInterbase Change Viewsyes, 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 configurationnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.yesnoyesyesno
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardauthentification 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 RepositoryBadgerInterbaseOracle CoherenceVertica infoOpenText™ Vertica™
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