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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonCockroachDB  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  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 warehousingCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Fully 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.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score6.15
Rank#55  Overall
#33  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
Websitewww.alibabacloud.com/­product/­maxcomputewww.cockroachlabs.comwww.kinetica.comravendb.netrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.cockroachlabs.com/­docsdocs.kinetica.comravendb.net/­docsrdf4j.org/­documentation
DeveloperAlibabaCockroach LabsKineticaHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162015201220102004
Current release23.1.1, May 20237.1, August 20215.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen 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 languageGoC, C++C#Java
Server operating systemshostedLinux
macOS
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeyesdynamic schemayesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsSQL-like query language (RQL)no
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCJDBC
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
Supported programming languagesJavaC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functionsyesyes
Triggersnonoyes 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 servicehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication using RAFTSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction availableACID 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.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users and roles on table levelAuthorization levels configured per client per databaseno

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More resources
Alibaba Cloud MaxComputeCockroachDBKineticaRavenDBRDF4J infoformerly known as Sesame
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