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DBMS > Google Cloud Datastore vs. Kdb vs. MarkLogic

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKdb  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performance Time Series DBMSOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitecloud.google.com/­datastorekx.comwww.marklogic.com
Technical documentationcloud.google.com/­datastore/­docscode.kx.comdocs.marklogic.com
DeveloperGoogleKx Systems, a division of First Derivatives plcMarkLogic Corp.
Initial release20082000 infokdb was released 2000, kdb+ in 20032001
Current release3.6, May 201811.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercial 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 languageqC++
Server operating systemshostedLinux
OS X
Solaris
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.noyesyes
Secondary indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query language (q)yes infoSQL92
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
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
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsyes infovia XQuery or JavaScript
TriggersCallbacks using the Google Apps Engineyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno infosimilar paradigm used for internal processingyes 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 TransactionsnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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)rights management via user accountsRole-based access control at the document and subdocument levels
More information provided by the system vendor
Google Cloud DatastoreKdbMarkLogic
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Google Cloud DatastoreKdbMarkLogic
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