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DBMS > Kinetica vs. Manticore Search vs. MarkLogic vs. YDB

System Properties Comparison Kinetica vs. Manticore Search vs. MarkLogic vs. YDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonMarkLogic  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.kinetica.commanticoresearch.comwww.progress.com/­marklogicgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.kinetica.commanual.manticoresearch.comwww.progress.com/­marklogic/­documentationydb.tech/­en/­docs
DeveloperKineticaManticore SoftwareMarkLogic Corp.Yandex
Initial release2012201720012019
Current release7.1, August 20216.0, February 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial inforestricted free version is availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesFixed schemaschema-free infoSchema can be enforcedFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infoSQL92SQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes infovia XQuery or JavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyesActive-passive shard replication
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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoRole-based access control at the document and subdocument levelsAccess rights defined for Yandex Cloud users

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More resources
KineticaManticore SearchMarkLogicYDB
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