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DBMS > Adabas vs. Google Cloud Datastore vs. SAP SQL Anywhere vs. Sequoiadb vs. ToroDB

System Properties Comparison Adabas vs. Google Cloud Datastore vs. SAP SQL Anywhere vs. Sequoiadb vs. ToroDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelMultivalue DBMSDocument storeRelational DBMSDocument store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.comgithub.com/­torodb/­server
Technical documentationcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftware AGGoogleSAP infoformerly SybaseSequoiadb Ltd.8Kdata
Initial release19712008199220132016
Current release17, July 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL-V3
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 languageC++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infooid, date, timestamp, binary, regexyes infostring, integer, double, boolean, date, object_id
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query language (GQL)yesSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesNatural.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresin Naturalusing Google App Engineyes, in C/C++, Java, .Net or PerlJavaScript
TriggersnoCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication using PaxosSource-replica replication infoDatabase mirroringSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDDocument is locked during a transactionno
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.nonoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardsimple password-based access controlAccess rights for users and roles

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More resources
Adabas infodenotes "adaptable data base"Google Cloud DatastoreSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadbToroDB
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