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DBMS > Alibaba Cloud MaxCompute vs. RDF4J vs. Sphinx vs. WakandaDB vs. YDB

System Properties Comparison Alibaba Cloud MaxCompute vs. RDF4J vs. Sphinx vs. WakandaDB vs. YDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparisonYDB  Xexclude from comparison
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.Open source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRDF storeSearch engineObject oriented DBMSDocument store
Relational 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
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputerdf4j.orgsphinxsearch.comwakanda.github.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputerdf4j.org/­documentationsphinxsearch.com/­docswakanda.github.io/­docydb.tech/­en/­docs
DeveloperAlibabaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.Wakanda SASYandex
Initial release20162004200120122019
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaScript
Server operating systemshostedLinux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyes infoRDF SchemasyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)noSQL-like query language (YQL)
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
Proprietary protocolRESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesJavaJava
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnoyesno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
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 rolesnonoyesAccess rights defined for Yandex Cloud users

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More resources
Alibaba Cloud MaxComputeRDF4J infoformerly known as SesameSphinxWakandaDBYDB
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