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DBMS > Ehcache vs. MarkLogic vs. Microsoft Azure SQL Database vs. RavenDB vs. SWC-DB

System Properties Comparison Ehcache vs. MarkLogic vs. Microsoft Azure SQL Database vs. RavenDB vs. SWC-DB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument storeWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.ehcache.orgwww.progress.com/­marklogicazure.microsoft.com/­en-us/­products/­azure-sql/­databaseravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.ehcache.org/­documentationwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlravendb.net/­docs
DeveloperTerracotta Inc, owned by Software AGMarkLogic Corp.MicrosoftHibernating RhinosAlex Kashirin
Initial release20092001201020102020
Current release3.10.0, March 202211.0, December 2022V125.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
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 languageJavaC++C++C#C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesJavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptTransact SQLyesno
Triggersyes infoCache Event Listenersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesyes, with always 3 replicas availableMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transactionACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesno
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
EhcacheMarkLogicMicrosoft Azure SQL Database infoformerly SQL AzureRavenDBSWC-DB infoSuper Wide Column Database
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