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DBMS > EsgynDB vs. Microsoft Azure AI Search vs. Splice Machine vs. SurrealDB

System Properties Comparison EsgynDB vs. Microsoft Azure AI Search vs. Splice Machine vs. SurrealDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSplice Machine  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSearch engineRelational DBMSDocument 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
Score5.75
Rank#58  Overall
#7  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchsplicemachine.comsurrealdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsplicemachine.com/­how-it-workssurrealdb.com/­docs
DeveloperEsgynMicrosoftSplice MachineSurrealDB Ltd
Initial release2015201520142022
Current releaseV13.1, March 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source
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++, JavaJavaRust
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rules

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More resources
EsgynDBMicrosoft Azure AI SearchSplice MachineSurrealDB
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