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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Operational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelObject oriented DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented 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
Score5.98
Rank#56  Overall
#5  Search engines
Websiteatoti.iowww.marklogic.comazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationdocs.atoti.iodocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperActiveViamMarkLogic Corp.MicrosoftSphinx Technologies Inc.
Initial release200120162001
Current release11.0, December 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial inforestricted free version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoSQL92yesSQL-like query language (SphinxQL)
APIs and other access methodsJava 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
Proprietary protocol
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonyes infovia XQuery or JavaScriptTransact SQLno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 controlRole-based access control at the document and subdocument levelsyesno

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More resources
atotiMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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