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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Geode vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Geode vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#195  Overall
#91  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score6.63
Rank#54  Overall
#9  Document stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlgeode.apache.orgfirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmgeode.apache.org/­docsfirebase.google.com/­docs/­firestoredocs.microsoft.com/­azure/­synapse-analytics
DeveloperAlibabaOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleMicrosoft
Initial release200220172016
Current release1.1, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedhosted
Data schemeyesschema-freeschema-freeyes
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)noyes
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyesuser defined functionsyes, Firebase Rules & Cloud FunctionsTransact SQL
Triggersyesyes infoCache Event Listenersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono 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 dataACIDyes, on a single nodeyesACID
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLGeodeGoogle Cloud FirestoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
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More resources
Alibaba Cloud AnalyticDB for MySQLGeodeGoogle Cloud FirestoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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