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DBMS > AlaSQL vs. Google Cloud Spanner vs. GridDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison AlaSQL vs. Google Cloud Spanner vs. GridDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionJavaScript DBMS libraryA 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.Scalable in-memory time series database optimized for IoT and Big DataElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitealasql.orgcloud.google.com/­spannergriddb.netazure.microsoft.com/­services/­synapse-analytics
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­spanner/­docsdocs.griddb.netdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAndrey Gershun & Mathias R. WulffGoogleToshiba CorporationMicrosoft
Initial release2014201720132016
Current release5.1, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infoQuery statements complying to ANSI 2011SQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnononoTransact SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoStrict serializable isolationACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseyes
More information provided by the system vendor
AlaSQLGoogle Cloud SpannerGridDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AlaSQLGoogle Cloud SpannerGridDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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