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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Alibaba Cloud Table Store vs. FatDB vs. Google Cloud Datastore vs. XTDB

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Alibaba Cloud Table Store vs. FatDB vs. Google Cloud Datastore vs. XTDB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA .NET NoSQL DBMS that can integrate with and extend SQL Server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSWide column storeDocument store
Key-value store
Document storeDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score0.31
Rank#297  Overall
#11  Wide column stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.alibabacloud.com/­product/­table-storecloud.google.com/­datastoregithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmwww.alibabacloud.com/­help/­en/­tablestorecloud.google.com/­datastore/­docswww.xtdb.com/­docs
DeveloperAlibabaAlibabaFatCloudGoogleJuxt Ltd.
Initial release2016201220082019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Clojure
Server operating systemshostedhostedWindowshostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details hereyes, extensible-data-notation format
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnono infoVia inetgration in SQL ServerSQL-like query language (GQL)limited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC#
Java
PHP
Python
Java
Python
C#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyesnoyes infovia applicationsusing Google App Engineno
Triggersyesnoyes infovia applicationsCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceselectable replication factorMulti-source replication using Paxosyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on subaccounts and tokensno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAlibaba Cloud Table StoreFatDBGoogle Cloud DatastoreXTDB infoformerly named Crux
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...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLAlibaba Cloud Table StoreFatDBGoogle Cloud DatastoreXTDB infoformerly named Crux
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