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DBMS > Alibaba Cloud MaxCompute vs. Kinetica vs. RavenDB vs. RDF4J vs. YottaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Kinetica vs. RavenDB vs. RDF4J vs. YottaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A fast and solid embedded Key-value store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSDocument storeRDF storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.kinetica.comravendb.netrdf4j.orgyottadb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.kinetica.comravendb.net/­docsrdf4j.org/­documentationyottadb.com/­resources/­documentation
DeveloperAlibabaKineticaHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.YottaDB, LLC
Initial release20162012201020042001
Current release7.1, August 20215.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#JavaC
Server operating systemshostedLinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Docker
Linux
Data schemeyesyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (RQL)noby using the Octo plugin
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsyesyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelAuthorization levels configured per client per databasenoUsers and groups based on OS-security mechanisms

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More resources
Alibaba Cloud MaxComputeKineticaRavenDBRDF4J infoformerly known as SesameYottaDB
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