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DBMS > GridDB vs. Manticore Search vs. Microsoft Azure SQL Database vs. openGemini

System Properties Comparison GridDB vs. Manticore Search vs. Microsoft Azure SQL Database vs. openGemini

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelTime Series DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitegriddb.netmanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.opengemini.org
github.com/­openGemini
Technical documentationdocs.griddb.netmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.opengemini.org/­guide
DeveloperToshiba CorporationManticore SoftwareMicrosoftHuawei and openGemini community
Initial release2013201720102022
Current release5.1, August 20226.0, February 2023V121.1, July 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Go
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedLinux
Windows
Data schemeyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanyesInteger, Float, Boolean, String
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 XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardAdministrators and common users accounts

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More resources
GridDBManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureopenGemini
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