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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB vs. TDSQL for MySQL

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Globally distributed, horizontally scalable, multi-model database serviceA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­bigtableazure.microsoft.com/­services/­cosmos-dbwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­bigtable/­docslearn.microsoft.com/­azure/­cosmos-dbwww.tencentcloud.com/­document/­product/­1042
DeveloperAlibabaGoogleMicrosoftTencent
Initial release2016201520142013
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhostedhosted
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes
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.nonono
Secondary indexesnonoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavanoJavaScriptyes
TriggersnonoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsMulti-item ACID transactions with snapshot isolation within a partitionACID
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.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelUsers with fine-grained authorization concept

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More resources
Alibaba Cloud MaxComputeGoogle Cloud BigtableMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTDSQL for MySQL
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