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DBMS > EsgynDB vs. Microsoft Azure AI Search vs. ObjectBox vs. OceanBase

System Properties Comparison EsgynDB vs. Microsoft Azure AI Search vs. ObjectBox vs. OceanBase

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSSearch engineObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsVector DBMSTime Series DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchgithub.com/­objectbox
objectbox.io
en.oceanbase.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.ioen.oceanbase.com/­docs/­oceanbase-database
DeveloperEsgynMicrosoftObjectBox LimitedOceanBase infopreviously Alibaba and Ant Group
Initial release2015201520172010
Current releaseV14.0 (May 2024)4.3.0, April 2024
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoCommercial license 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++, JavaC and C++C++
Server operating systemsLinuxhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary native APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresJava Stored ProceduresnonoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EsgynDBMicrosoft Azure AI SearchObjectBoxOceanBase
News

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29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
EsgynDBMicrosoft Azure AI SearchObjectBoxOceanBase
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