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DBMS > DolphinDB vs. Ehcache vs. Google Cloud Datastore vs. LokiJS vs. MarkLogic

System Properties Comparison DolphinDB vs. Ehcache vs. Google Cloud Datastore vs. LokiJS vs. MarkLogic

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A widely adopted Java cache with tiered storage optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSKey-value storeDocument storeDocument storeDocument 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
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Score4.49
Rank#79  Overall
#12  Document stores
Score0.48
Rank#262  Overall
#42  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Websitewww.dolphindb.comwww.ehcache.orgcloud.google.com/­datastoregithub.com/­techfort/­LokiJSwww.marklogic.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.ehcache.org/­documentationcloud.google.com/­datastore/­docstechfort.github.io/­LokiJSdocs.marklogic.com
DeveloperDolphinDB, IncTerracotta Inc, owned by Software AGGoogleMarkLogic Corp.
Initial release20182009200820142001
Current releasev2.00.4, January 20223.10.0, March 202211.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScriptC++
Server operating systemsLinux
Windows
All OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes, details herenoyes
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.nonononoyes
Secondary indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (GQL)noyes infoSQL92
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JCachegRPC (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
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnousing Google App EngineView functions in JavaScriptyes infovia XQuery or JavaScript
Triggersnoyes infoCache Event ListenersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerMulti-source replication using Paxosnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate 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 integritynonoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourceACID 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 transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes, with Range Indexes
User concepts infoAccess controlAdministrators, Users, GroupsnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control at the document and subdocument levels

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More resources
DolphinDBEhcacheGoogle Cloud DatastoreLokiJSMarkLogic
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