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DBMS > GridGain vs. Microsoft Azure AI Search vs. ObjectBox vs. TimescaleDB

System Properties Comparison GridGain vs. Microsoft Azure AI Search vs. ObjectBox vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSearch-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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value store
Relational DBMS
Search engineObject oriented DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsVector DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­objectbox
objectbox.io
www.timescale.com
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iodocs.timescale.com
DeveloperGridGain Systems, Inc.MicrosoftObjectBox LimitedTimescale
Initial release2007201520172017
Current releaseGridGain 8.5.1V14.0 (May 2024)2.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache 2.0
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 languageJava, C++, .NetC and C++C
Server operating systemsLinux
OS X
Solaris
Windows
hostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIProprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud serviceData sync between devices allowing occasional connected databases to work completely offlineSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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.yesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousing Azure authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainMicrosoft Azure AI SearchObjectBoxTimescaleDB
News

The on-device Vector Database for Android and Java
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
GridGainMicrosoft Azure AI SearchObjectBoxTimescaleDB
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