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DBMS > EsgynDB vs. Galaxybase vs. Microsoft Azure AI Search vs. SurrealDB

System Properties Comparison EsgynDB vs. Galaxybase vs. Microsoft Azure AI Search vs. SurrealDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformSearch-as-a-service for web and mobile app developmentA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSGraph DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.esgyn.cngalaxybase.comazure.microsoft.com/­en-us/­services/­searchsurrealdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsurrealdb.com/­docs
DeveloperEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司MicrosoftSurrealDB Ltd
Initial release2015201720152022
Current releaseNov 20, November 2021V1v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
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++, JavaC and JavaRust
Server operating systemsLinuxLinuxhostedLinux
macOS
Windows
Data schemeyesStrong typed schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
C#
Java
JavaScript
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyes infousing Azure authenticationyes, based on authentication and database rules

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More resources
EsgynDBGalaxybaseMicrosoft Azure AI SearchSurrealDB
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