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DBMS > MarkLogic vs. SingleStore vs. STSdb

System Properties Comparison MarkLogic vs. SingleStore vs. STSdb

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.32
Rank#66  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score4.13
Rank#69  Overall
#37  Relational DBMS
Score0.03
Rank#367  Overall
#56  Key-value stores
Websitewww.progress.com/­marklogicwww.singlestore.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.progress.com/­marklogic/­documentationdocs.singlestore.com
DeveloperMarkLogic Corp.SingleStore Inc.STS Soft SC
Initial release200120132011
Current release11.0, December 20228.5, January 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, GoC#
Server operating systemsLinux
OS X
Windows
Linux info64 bit version requiredWindows
Data schemeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesno
SQL infoSupport of SQLyes infoSQL92yes infobut no triggers and foreign keysno
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
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
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 datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsFine grained access control via users, groups and rolesno

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More resources
MarkLogicSingleStore infoformer name was MemSQLSTSdb
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

Progress Introduces MarkLogic FastTrack, Helping Organizations Harness the Power of Connected Data
23 July 2024, GlobeNewswire

Database Platform to Simplify Complex Data | Progress Marklogic
7 February 2023, Progress Software

Progress Brings Industry Leaders Together to Share Insights on AI and Data at MarkLogic World Tour US 2024
18 September 2024, StockTitan

Progress Announces Powerful New Generative AI Capabilities in Latest Release of MarkLogic Server
5 September 2024, GlobeNewswire

Progress launches MarkLogic Server 12 with new AI capabilities
9 September 2024, IT Brief Australia

provided by Google News

SingleStore Welcomes Andy Wild as Chief Revenue Officer
3 December 2024, Business Wire

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

SingleStore acquires BryteFlow to boost data ingestion capabilities
3 October 2024, InfoWorld

Announcing watsonx.ai and SingleStore for generative AI applications
16 October 2024, IBM

SingleStore's BryteFlow acquisition targets data integration
3 October 2024, TechTarget

provided by Google News



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