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DBMS > Adabas vs. Google Cloud Datastore vs. MarkLogic vs. XTDB

System Properties Comparison Adabas vs. Google Cloud Datastore vs. MarkLogic vs. XTDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMarkLogic  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
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 PlatformOperational and transactional Enterprise NoSQL databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelMultivalue DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcloud.google.com/­datastorewww.progress.com/­marklogicgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­datastore/­docswww.progress.com/­marklogic/­documentationwww.xtdb.com/­docs
DeveloperSoftware AGGoogleMarkLogic Corp.Juxt Ltd.
Initial release1971200820012019
Current release11.0, December 20221.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Clojure
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyes, extensible-data-notation format
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query language (GQL)yes infoSQL92limited SQL, making use of Apache Calcite
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
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP REST
JDBC
Supported programming languagesNatural.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresin Naturalusing Google App Engineyes infovia XQuery or JavaScriptno
TriggersnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication using Paxosyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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 Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, with Range Indexes
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)Role-based access control at the document and subdocument levels

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Adabas infodenotes "adaptable data base"Google Cloud DatastoreMarkLogicXTDB infoformerly named Crux
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