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DBMS > DataFS vs. Manticore Search vs. Microsoft Azure Table Storage vs. openGauss vs. Oracle Rdb

System Properties Comparison DataFS vs. Manticore Search vs. Microsoft Azure Table Storage vs. openGauss vs. Oracle Rdb

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Multi-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelObject oriented DBMSSearch engineWide column storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitenewdatabase.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdev.mobiland.com/­Overview.xspmanual.manticoresearch.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperMobiland AGManticore SoftwareMicrosoftHuawei and openGauss communityOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20182017201220191984
Current release1.1.263, October 20226.0, February 20233.0, March 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, Java
Server operating systemsWindowsFreeBSD
Linux
macOS
Windows
hostedLinuxHP Open VMS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Fixed schemaschema-freeyesFlexible 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, 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.noCan index from XMLnonono
Secondary indexesnoyes infofull-text index on all search fieldsnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoANSI SQL 2011yes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersno, except callback-events from server when changes happenednonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.nononono
User concepts infoAccess controlWindows-ProfilenoAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standard

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More resources
DataFSManticore SearchMicrosoft Azure Table StorageopenGaussOracle Rdb
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