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DBMS > Google Cloud Datastore vs. Interbase vs. MarkLogic

System Properties Comparison Google Cloud Datastore vs. Interbase vs. MarkLogic

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitecloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.progress.com/­marklogic
Technical documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasewww.progress.com/­marklogic/­documentation
DeveloperGoogleEmbarcaderoMarkLogic Corp.
Initial release200819842001
Current releaseInterBase 2020, December 201911.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyes, 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.nono infoexport as XML data possibleyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyes infoSQL92
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
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
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Engineyes infoInterbase procedure and trigger languageyes infovia XQuery or JavaScript
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosInterbase Change Viewsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexes
User concepts infoAccess controlAccess 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 at the document and subdocument levels

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More resources
Google Cloud DatastoreInterbaseMarkLogic
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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