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DBMS > GBase vs. Microsoft Azure AI Search vs. RocksDB vs. Sphinx

System Properties Comparison GBase vs. Microsoft Azure AI Search vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Search-as-a-service for web and mobile app developmentEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score2.84
Rank#97  Overall
#16  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.gbase.cnazure.microsoft.com/­en-us/­services/­searchrocksdb.orgsphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.MicrosoftFacebook, Inc.Sphinx Technologies Inc.
Initial release2004201520132001
Current releaseGBase 8a, GBase 8s, GBase 8cV19.4.0, June 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC++C++
Server operating systemsLinuxhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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.yesnono
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsnonoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
RESTful HTTP APIC++ API
Java API
Proprietary protocol
Supported programming languagesC#C#
Java
JavaScript
Python
C
C++
Go
Java
Perl
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesyes infousing Azure authenticationnono

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More resources
GBaseMicrosoft Azure AI SearchRocksDBSphinx
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