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DBMS > EventStoreDB vs. GBase vs. Microsoft Azure AI Search vs. Spark SQL

System Properties Comparison EventStoreDB vs. GBase vs. Microsoft Azure AI Search vs. Spark SQL

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Search-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelEvent StoreRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.eventstore.comwww.gbase.cnazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sql
Technical documentationdevelopers.eventstore.comlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedGeneral Data Technology Co., Ltd.MicrosoftApache Software Foundation
Initial release2012200420152014
Current release21.2, February 2021GBase 8a, GBase 8s, GBase 8cV13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonScala
Server operating systemsLinux
Windows
LinuxhostedLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C API
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#C#
Java
JavaScript
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
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 serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesyes infousing Azure authenticationno

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More resources
EventStoreDBGBaseMicrosoft Azure AI SearchSpark SQL
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