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DBMS > Atos Standard Common Repository vs. Cloudflare Workers KV vs. Oracle Berkeley DB vs. Pinecone vs. Transbase

System Properties Comparison Atos Standard Common Repository vs. Cloudflare Workers KV vs. Oracle Berkeley DB vs. Pinecone vs. Transbase

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPinecone  Xexclude from comparisonTransbase  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 networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Widely used in-process key-value storeA managed, cloud-native vector databaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Key-value store
Key-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.pinecone.iowww.transaction.de/­en/­products/­transbase.html
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.pinecone.io/­docs/­overviewwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAtos Convergence CreatorsCloudflareOracle infooriginally developed by Sleepycat, which was acquired by OraclePinecone Systems, IncTransaction Software GmbH
Initial release20162018199420191987
Current release170318.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemsLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalnonoString, Number, Booleanyes
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.yesnoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availablenoyes
APIs and other access methodsLDAPHTTP REST
Proprietary protocol
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
PythonC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyesnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesnono
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryCloudflare Workers KVOracle Berkeley DBPineconeTransbase
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