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DBMS > Alibaba Cloud MaxCompute vs. Apache Impala vs. Drizzle vs. Netezza vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Impala vs. Drizzle vs. Netezza vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 warehousingAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystemsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#200  Overall
#95  Relational DBMS
Score10.22
Rank#40  Overall
#24  Relational DBMS
Score6.70
Rank#52  Overall
#31  Relational DBMS
Score0.82
Rank#208  Overall
#7  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputeimpala.apache.orgwww.ibm.com/­products/­netezzardf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeimpala.apache.org/­impala-docs.htmlrdf4j.org/­documentation
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162013200820002004
Current release4.1.0, June 20227.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Linux infoincluded in applianceLinux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infowith proprietary extensionsyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
JDBCJDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaAll languages supporting JDBC/ODBCC
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infouser defined functions and integration of map-reducenoyesyes
Triggersnonono infohooks for callbacks inside the server can be used.noyes
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 serviceselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
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 infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptno

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More resources
Alibaba Cloud MaxComputeApache ImpalaDrizzleNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as Sesame
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