DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Datastore vs. Hive

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Datastore vs. Hive

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#222  Overall
#107  Relational DBMS
Score4.72
Rank#60  Overall
#10  Document stores
Score83.10
Rank#14  Overall
#9  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­datastorehive.apache.org
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmcloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAlibabaGoogleApache Software Foundation infoinitially developed by Facebook
Initial release201620082012
Current release2.3.6, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)SQL-like DML and DDL statements
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javausing Google App Engineyes infouser defined functions and integration of map-reduce
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-Master replication using Paxosselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 for users, groups and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Alibaba Cloud MaxComputeGoogle Cloud DatastoreHive
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Alibaba Cloud Releases New Products to Int'l...
25 February 2019, Alizila

Alibaba Cloud Unveils New Products to Empower Data Intelligence for Enterprises and Internet Companies
26 February 2019, Business Wire

Alibaba Cloud To Launch Big Data Service in...
15 June 2017, Alizila

Alibaba Cloud: Rising Star in the Cloud Market
21 May 2018, Datamation

Alibaba Cloud opens data center in Indonesia - The Jakarta Post
17 March 2018, Jakarta Post

provided by Google News

At a High Level: Microsoft Azure vs. Google Cloud Platform
13 September 2019, eWeek

AWS vs. Google Cloud Platform - eWEEK
22 August 2019, eWeek

Google eyes second Australian cloud region, is keen to host classified data
4 September 2019, Computerworld Australia

Key-Value Stores Market to Witness Growth Acceleration During 2019-2024 | Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase, Memcached Oracle, DataStax, Infinispan
5 September 2019, Financial Newspaper

LEAD DATA ENGINEER - Ulta Beauty
21 August 2019, Built In Chicago

provided by Google News

Seeing the Big Picture on Big Data Market Shift
27 August 2019, Datanami

Google announces alpha of Cloud Dataproc for Kubernetes
10 September 2019, ZDNet

Apache Flink 1.9 Adds New Query Engine
27 August 2019, iProgrammer

Inside the data driven model of Ola with Sanjay Kharb, VP- Engineering, Ola
18 September 2019, ETCIO.com

Apache Flink 1.9.0 releases with Fine-grained batch recovery, State Processor API and more
26 August 2019, Packt Hub

provided by Google News

Job opportunities

Alibaba Cloud Intelligence Senior Engineer Sunnyvale
Alibaba, Sunnyvale, CA

Cloud Database Migration Engineer, Google Professional Services
Google, Sunnyvale, CA

Cloud Database Migration Engineer, Google Professional Services
Google, Chicago, IL

Cloud Database Migration Engineer, Google Professional Services
Google, San Francisco, CA

Google Data Engineer
Accenture, Jersey City, NJ

Google Data Engineer
Accenture, El Segundo, CA

Consultant, Strategy & Analytics, Analytics & Cognitive
Deloitte, New York, NY

Technical Architect
Bank of America, Addison, TX

Data Engineer, Products
Merkle Inc., Farmers Branch, TX

Data Engineer
Amazon.com Services, Inc., Seattle, WA

Data Engineer- Python
Deloitte, San Jose, CA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here