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DBMS > Alibaba Cloud MaxCompute vs. RDF4J vs. Spark SQL vs. TempoIQ vs. Titan

System Properties Comparison Alibaba Cloud MaxCompute vs. RDF4J vs. Spark SQL vs. TempoIQ vs. Titan

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTitan  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingRDF4J 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 processingScalable analytics DBMS for sensor data, provided as a service (SaaS)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRDF storeRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputerdf4j.orgspark.apache.org/­sqltempoiq.com (offline)github.com/­thinkaurelius/­titan
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputerdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAlibabaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationTempoIQAurelius, owned by DataStax
Initial release20162004201420122012
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJava
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemasyesschema-freeyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaJava
PHP
Python
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnonoyes
Triggersnoyesnoyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes, utilizing Spark Coreyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 rolesnonosimple authentication-based access controlUser authentification and security via Rexster Graph Server

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More resources
Alibaba Cloud MaxComputeRDF4J infoformerly known as SesameSpark SQLTempoIQ infoformerly TempoDBTitan
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