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DBMS > Atos Standard Common Repository vs. Firebase Realtime Database vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. Firebase Realtime Database vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTigerGraph  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 networksCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformColumnar RDBMS optimized for Big Data analyticsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Document storeDocument storeRelational DBMS infocolumn-orientedGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databasecloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.tigergraph.com
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_IQdocs.tigergraph.com
DeveloperAtos Convergence CreatorsGoogle infoacquired by Google 2014GoogleSAP, formerly Sybase
Initial release20162012200819942017
Current release170316.1 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyes, details hereyesyes
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.yesnononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesSQL-like query language (GSQL)
APIs and other access methodsLDAPAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'using Google App Engineyesyes
TriggersyesCallbacks are triggered when data changesCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosSAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono
User concepts infoAccess controlLDAP bind authenticationyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control

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More resources
Atos Standard Common RepositoryFirebase Realtime DatabaseGoogle Cloud DatastoreSAP IQ infoformer name: Sybase IQTigerGraph
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