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

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

Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGauss  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMulti-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 modelKey-value storeSearch 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
Score0.70
Rank#229  Overall
#32  Key-value stores
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/­Snapchat/­KeyDB
keydb.dev
manticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.keydb.devmanual.manticoresearch.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperEQ Alpha Technology Ltd.Manticore SoftwareMicrosoftHuawei and openGauss communityOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20192017201220191984
Current release6.0, February 20233.0, March 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSD-3Open 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, C++, Java
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedLinuxHP Open VMS
Data schemeschema-freeFixed schemaschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesInt, 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 indexesyes infoby using the Redis Search moduleyes infofull-text index on all search fieldsnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoANSI SQL 2011yes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
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 proceduresLuauser defined functionsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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 nodesMulti-source replication
Source-replica replication
Synchronous 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 systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsyes 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 persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes 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.yesnonono
User concepts infoAccess controlsimple password-based access control and ACLnoAccess 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
KeyDBManticore SearchMicrosoft Azure Table StorageopenGaussOracle Rdb
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