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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuestDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentA high performance open source SQL database for time series dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSearch engineTime Series DBMSDocument store
Graph DBMS
Secondary database modelsVector DBMSRelational 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
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchquestdb.iosurrealdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchquestdb.io/­docssurrealdb.com/­docs
DeveloperEsgynMicrosoftQuestDB Technology IncSurrealDB Ltd
Initial release2015201520142022
Current releaseV1v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open 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++, JavaJava (Zero-GC), C++, RustRust
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-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 indexesyesyesno
SQL infoSupport of SQLyesnoSQL with time-series extensionsSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistency
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID for single-table writesACID
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationyes, based on authentication and database rules
More information provided by the system vendor
EsgynDBMicrosoft Azure AI SearchQuestDBSurrealDB
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13 August 2024

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More resources
EsgynDBMicrosoft Azure AI SearchQuestDBSurrealDB
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Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

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Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
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