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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Datastore vs. Impala vs. Kinetica vs. searchxml

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Datastore vs. Impala vs. Kinetica vs. searchxml

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonImpala  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  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 PlatformAnalytic DBMS for HadoopGPU-accelerated database for real-time analysis of large and streaming datasetsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#202  Overall
#101  Relational DBMS
Score4.35
Rank#79  Overall
#11  Document stores
Score17.85
Rank#37  Overall
#23  Relational DBMS
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score0.00
Rank#347  Overall
#7  Native XML DBMS
#19  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­datastorewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.kinetica.comwww.searchxml.net/­category/­products
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmcloud.google.com/­datastore/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlwww.kinetica.com/­docswww.searchxml.net/­support/­handouts
DeveloperAlibabaGoogleClouderaKineticainformationpartners gmbh
Initial release20162008201320122015
Current release3.4.0, April 20206.01.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++
Server operating systemshostedhostedLinuxLinuxWindows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)SQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions infoin Javausing Google App Engineyes infouser defined functions and integration of map-reduceuser defined functionsyes infoon the application server
TriggersnoCallbacks using the Google Apps Enginenoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication using Paxosselectable replication factorSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infoquery execution via MapReducenono
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnonomultiple readers, single writer
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.nononoyes infoGPU vRAM or System RAMno
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 infobased on Apache Sentry and KerberosAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application services

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More resources
Alibaba Cloud MaxComputeGoogle Cloud DatastoreImpalaKineticasearchxml
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