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DBMS > Datomic vs. MarkLogic vs. Microsoft Azure Table Storage vs. Sadas Engine vs. VelocityDB

System Properties Comparison Datomic vs. MarkLogic vs. Microsoft Azure Table Storage vs. Sadas Engine vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.datomic.comwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.comvelocitydb.com
Technical documentationdocs.datomic.comdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvelocitydb.com/­UserGuide
DeveloperCognitectMarkLogic Corp.MicrosoftSADAS s.r.l.VelocityDB Inc
Initial release20122001201220062011
Current release1.0.6735, June 202311.0, December 20228.07.x
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial inforestricted free version is availablecommercialcommercial infofree trial version availablecommercial
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 languageJava, ClojureC++C++C#
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hostedAIX
Linux
Windows
Any that supports .NET
Data schemeyesschema-free infoSchema can be enforcedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infoSQL92noyesno
APIs and other access methodsRESTful HTTP 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
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
.Net
Supported programming languagesClojure
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infovia XQuery or JavaScriptnonono
TriggersBy using transaction functionsyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyes, with Range Indexesnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
DatomicMarkLogicMicrosoft Azure Table StorageSadas EngineVelocityDB
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