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DBMS > Alibaba Cloud MaxCompute vs. Fauna vs. RDF4J vs. Spark SQL vs. Teradata Aster

System Properties Comparison Alibaba Cloud MaxCompute vs. Fauna vs. RDF4J vs. Spark SQL vs. Teradata Aster

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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 warehousingFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
RDF storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputefauna.comrdf4j.orgspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.fauna.comrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaFauna, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationTeradata
Initial release20162014200420142005
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0commercial
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 languageScalaJavaScala
Server operating systemshostedhostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyes infoRDF SchemasyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like DML and DDL statementsyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsyesnoR packages
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoconsistent hashingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replicationnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlnonofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeFauna infopreviously named FaunaDBRDF4J infoformerly known as SesameSpark SQLTeradata Aster
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