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DBMS > GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. PlanetScale

System Properties Comparison GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. PlanetScale

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticsplanetscale.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docs
DeveloperGigaspaces TechnologiesMicrosoftMicrosoftPlanetScale
Initial release2000201520162020
Current release15.5, September 2020V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++Go
Server operating systemsLinux
macOS
Solaris
Windows
hostedhostedDocker
Linux
macOS
Data schemeschema-freeyesyesyes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesyes infowith proprietary extensions
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoTransact SQLyes infoproprietary syntax
Triggersyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud serviceyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlRole-based access controlyes infousing Azure authenticationyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
GigaSpacesMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScale
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