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DBMS > Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. Apache Impala vs. OpenEdge vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. Apache Impala vs. OpenEdge vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonOpenEdge  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopApplication development environment with integrated database management systemRDF4J 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 tablesKey-value storeRelational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­simpledbimpala.apache.orgwww.progress.com/­openedgerdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestrdf4j.org/­documentation
DeveloperAlibabaAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaProgress Software CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162007201319842004
Current release4.1.0, June 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedhostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes
Secondary indexesnoyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyes infoclose to SQL 92no
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCProgress proprietary ABL (Advanced Business Language)Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infouser defined functions and integration of map-reduceyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardinghorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoConcurrent data updates can be detected by the applicationnoACIDACID 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.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosUsers and groupsno

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More resources
Alibaba Cloud MaxComputeAmazon SimpleDBApache ImpalaOpenEdgeRDF4J infoformerly known as Sesame
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