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DBMS > MarkLogic vs. Microsoft Azure Cosmos DB vs. Rockset vs. TDengine

System Properties Comparison MarkLogic vs. Microsoft Azure Cosmos DB vs. Rockset vs. TDengine

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRockset  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseGlobally distributed, horizontally scalable, multi-model database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDBTime Series DBMS and big data platform
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Document storeTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.82
Rank#212  Overall
#36  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.progress.com/­marklogicazure.microsoft.com/­services/­cosmos-dbrockset.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.progress.com/­marklogic/­documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.rockset.comdocs.tdengine.com
DeveloperMarkLogic Corp.MicrosoftRocksetTDEngine, previously Taos Data
Initial release2001201420192019
Current release11.0, December 20223.0, August 2022
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
Windows
Data schemeschema-free infoSchema can be enforcedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyes infoAll properties auto-indexed by defaultall fields are automatically indexedno
SQL infoSupport of SQLyes infoSQL92SQL-like query languageRead-only SQL queries, including JOINsStandard SQL with extensions for time-series applications
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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP RESTJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJavaScriptnono
TriggersyesJavaScriptnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
MarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksetTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
MarkLogicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksetTDengine
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