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DBMS > Manticore Search vs. MonetDB vs. Riak KV vs. TimescaleDB

System Properties Comparison Manticore Search vs. MonetDB vs. Riak KV vs. TimescaleDB

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A relational database management system that stores data in columnsDistributed, fault tolerant key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitemanticoresearch.comwww.monetdb.orgwww.timescale.com
Technical documentationmanual.manticoresearch.comwww.monetdb.org/­Documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.timescale.com
DeveloperManticore SoftwareMonetDB BVOpenSource, formerly Basho TechnologiesTimescale
Initial release2017200420092017
Current release6.0, February 2023Dec2023 (11.49), December 20233.2.0, December 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoMozilla Public License 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CErlangC
Server operating systemsFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.Can index from XMLnoyes
Secondary indexesyes infofull-text index on all search fieldsyesrestrictedyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Native Erlang Interface
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, RErlanguser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tablesSharding infono "single point of failure"yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental statusselectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Manticore SearchMonetDBRiak KVTimescaleDB
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