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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Apache IoTDB vs. Apache Kylin vs. Atos Standard Common Repository vs. Google Cloud Firestore

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Apache IoTDB vs. Apache Kylin vs. Atos Standard Common Repository vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines 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.An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCloud 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.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Key-value store
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqliotdb.apache.orgkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­firestore
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlkylin.apache.org/­docsfirebase.google.com/­docs/­firestore
DeveloperAlibabaApache Software FoundationApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsGoogle
Initial release2018201520162017
Current release1.1.0, April 20233.1.0, July 20201703
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxLinuxhosted
Data schemeyesyesyesSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.yesnonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
LDAPAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesyesnoyes, Firebase Rules & Cloud Functions
Triggersyesyesyesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkyesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLApache IoTDBApache KylinAtos Standard Common RepositoryGoogle Cloud Firestore
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 MySQLApache IoTDBApache KylinAtos Standard Common RepositoryGoogle Cloud Firestore
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