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DBMS > atoti vs. Dolt vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison atoti vs. Dolt vs. MarkLogic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolt  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A MySQL compatible DBMS with Git-like versioning of data and schemaOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatoti.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.marklogic.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iodocs.dolthub.comdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamDoltHub IncMarkLogic Corp.Microsoft
Initial release201820012016
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercial 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 languageJavaGoC++C++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
hosted
Data schemeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes infoSQL92yes
APIs and other access methodsCLI Client
HTTP REST
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 languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresPythonyes infocurrently in alpha releaseyes infovia XQuery or JavaScriptTransact SQL
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupRole-based access control at the document and subdocument levelsyes

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