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DBMS > OpenMLDB vs. Typesense

System Properties Comparison OpenMLDB vs. Typesense

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websiteopenmldb.aitypesense.org
Technical documentationopenmldb.ai/­docs/­zh/­maintypesense.org/­docs
Developer4 Paradigm Inc.
Initial release20202015
Current release2024-2 February 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, ScalaC++
Server operating systemsLinuxLinux
Data schemeFixed schemaschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
SQLAlchemy
RESTful HTTP API
Supported programming languagesC++
Go
Java
Python
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
OpenMLDBTypesense
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