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DBMS > Alibaba Cloud MaxCompute vs. Alibaba Cloud PolarDB vs. Google Cloud Firestore vs. Hive vs. Kinetica

System Properties Comparison Alibaba Cloud MaxCompute vs. Alibaba Cloud PolarDB vs. Google Cloud Firestore vs. Hive vs. Kinetica

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAlibaba Cloud PolarDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Cloud 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.data warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.alibabacloud.com/­product/­polardbfirebase.google.com/­products/­firestorehive.apache.orgwww.kinetica.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.alibabacloud.com/­help/­en/­polardb/­product-overviewfirebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.com
DeveloperAlibabaAlibabaGoogleApache Software Foundation infoinitially developed by FacebookKinetica
Initial release2016201720122012
Current release3.1.3, April 20227.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemshostedhostedhostedAll OS with a Java VMLinux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaJava
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnoyesyes, with Cloud Functionsnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceMulti-source replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnono
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and rolesAccess rights for users and roles on table level
More information provided by the system vendor
Alibaba Cloud MaxComputeAlibaba Cloud PolarDBGoogle Cloud FirestoreHiveKinetica
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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Alibaba Cloud MaxComputeAlibaba Cloud PolarDBGoogle Cloud FirestoreHiveKinetica
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