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DBMS > GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. Typesense

System Properties Comparison GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. Typesense

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitewww.gigaspaces.comcloud.google.com/­spannerazure.microsoft.com/­services/­synapse-analyticstypesense.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­spanner/­docsdocs.microsoft.com/­azure/­synapse-analyticstypesense.org/­docs
DeveloperGigaspaces TechnologiesGoogleMicrosoft
Initial release2000201720162015
Current release15.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
macOS
Solaris
Windows
hostedhostedLinux
Data schemeschema-freeyesyesschema-free infopre-defined schema optional
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 statementsyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesnoTransact SQLno
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication with 3 replicas for regional instances.yesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDno
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.yesnoyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
GigaSpacesGoogle Cloud SpannerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypesense
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