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DBMS > Manticore Search vs. Microsoft Azure Table Storage vs. OpenMLDB vs. OrientDB

System Properties Comparison Manticore Search vs. Microsoft Azure Table Storage vs. OpenMLDB vs. OrientDB

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsAn open-source machine learning database that provides a feature platform for training and inferenceMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelSearch engineWide column storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitemanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesopenmldb.aiorientdb.org
Technical documentationmanual.manticoresearch.comopenmldb.ai/­docs/­zh/­mainwww.orientdb.com/­docs/­last/­index.html
DeveloperManticore SoftwareMicrosoft4 Paradigm Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2017201220202010
Current release6.0, February 20232024-2 February 20243.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen SourceOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, ScalaJava
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeFixed schemaschema-freeFixed schemaschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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 XMLnonono
Secondary indexesyes infofull-text index on all search fieldsnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language, no joins
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
SQLAlchemy
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoJava, Javascript
TriggersnononoHooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingnoACID
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.noyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
Manticore SearchMicrosoft Azure Table StorageOpenMLDBOrientDB
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