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

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

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMulti-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 modelRelational DBMSSearch engineWide column storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational 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
Websitegithub.com/­datafuselabs/­databend
www.databend.com
manticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.databend.commanual.manticoresearch.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDatabend LabsManticore SoftwareMicrosoftHuawei and openGauss communityOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20212017201220191984
Current release1.0.59, April 20236.0, February 20233.0, March 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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 languageRustC++C, C++, Java
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
macOS
Windows
hostedLinuxHP Open VMS
Data schemeyesFixed 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 SQLyesSQL-like query languagenoANSI SQL 2011yes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
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 proceduresnouser defined functionsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 nodesnoneSynchronous 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 integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes 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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoAccess 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
DatabendManticore SearchMicrosoft Azure Table StorageopenGaussOracle Rdb
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