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DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. Oracle Berkeley DB vs. TigerGraph vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. Oracle Berkeley DB vs. TigerGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTigerGraph  Xexclude from comparisonWakandaDB  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 networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used in-process key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.tigergraph.comwakanda.github.io
Technical documentationcloud.google.com/­bigtable/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tigergraph.comwakanda.github.io/­doc
DeveloperAtos Convergence CreatorsGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleWakanda SAS
Initial release20162015199420172012
Current release170318.1.40, May 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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++C++, JavaScript
Server operating systemsLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnonoyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availableSQL-like query language (GSQL)no
APIs and other access methodsLDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
.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
C++
Java
JavaScript
Server-side scripts infoStored proceduresnononoyesyes
Triggersyesnoyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic single-row operationsACIDACIDACID
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 authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access controlyes

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More resources
Atos Standard Common RepositoryGoogle Cloud BigtableOracle Berkeley DBTigerGraphWakandaDB
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