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DBMS > Datomic vs. Google Cloud Datastore vs. LokiJS vs. MarkLogic vs. OrigoDB

System Properties Comparison Datomic vs. Google Cloud Datastore vs. LokiJS vs. MarkLogic vs. OrigoDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.datomic.comcloud.google.com/­datastoregithub.com/­techfort/­LokiJSwww.marklogic.comorigodb.com
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docstechfort.github.io/­LokiJSdocs.marklogic.comorigodb.com/­docs
DeveloperCognitectGoogleMarkLogic Corp.Robert Friberg et al
Initial release20122008201420012009 infounder the name LiveDB
Current release1.0.6735, June 202311.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Sourcecommercial inforestricted free version is availableOpen Source
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 languageJava, ClojureJavaScriptC++C#
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyes, details herenoyesUser defined using .NET types and collections
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.nononoyesno infocan be achieved using .NET
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infoSQL92no
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
HTTP API
LINQ
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsusing Google App EngineView functions in JavaScriptyes infovia XQuery or JavaScriptyes
TriggersBy using transaction functionsCallbacks using the Google Apps Engineyesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using PaxosnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesyes 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.noneImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesyes, with Range Indexesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsRole based authorization

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More resources
DatomicGoogle Cloud DatastoreLokiJSMarkLogicOrigoDB
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