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DBMS > Alibaba Cloud MaxCompute vs. Blueflood vs. Google Cloud Bigtable vs. Hive vs. JSqlDb

System Properties Comparison Alibaba Cloud MaxCompute vs. Blueflood vs. Google Cloud Bigtable vs. Hive vs. JSqlDb

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonJSqlDb  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable TimeSeries DBMS based on CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.data warehouse software for querying and managing large distributed datasets, built on HadoopJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSKey-value store
Wide column store
Relational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeblueflood.iocloud.google.com/­bigtablehive.apache.orgjsqldb.org (offline)
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAlibabaRackspaceGoogleApache Software Foundation infoinitially developed by FacebookKonrad von Backstrom
Initial release20162013201520122018
Current release3.1.3, April 20220.8, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
hostedAll OS with a Java VMLinux
macOS
Windows
Data schemeyespredefined schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nononono
Secondary indexesnononoyesno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyes infouser defined functions and integration of map-reducefunctions in JavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on CassandraInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infousing RocksDB
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 rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles

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More resources
Alibaba Cloud MaxComputeBluefloodGoogle Cloud BigtableHiveJSqlDb
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