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DBMS > Datomic vs. FeatureBase vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Datomic vs. FeatureBase vs. MarkLogic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFeatureBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Operational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.datomic.comwww.featurebase.comwww.marklogic.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.datomic.comdocs.featurebase.comdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCognitectMolecula and Pilosa Open Source ContributorsMarkLogic Corp.Microsoft
Initial release2012201720012016
Current release1.0.7075, December 20232022, May 202211.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++C++
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
hosted
Data schemeyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL queriesyes infoSQL92yes
APIs and other access methodsRESTful HTTP APIgRPC
JDBC
Kafka Connector
ODBC
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
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infovia XQuery or JavaScriptTransact SQL
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID 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)yes, using Linux fsyncyesyes
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 developmentyesyes, with Range Indexes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsyes

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More resources
DatomicFeatureBaseMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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