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DBMS > Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Drizzle vs. H2 vs. Sphinx

System Properties Comparison Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Drizzle vs. H2 vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonSphinx  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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 warehousingHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Key-value store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.h2database.comsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.h2database.com/­html/­main.htmlsphinxsearch.com/­docs
DeveloperAlibabaAtos Convergence CreatorsDrizzle project, originally started by Brian AkerThomas MuellerSphinx Technologies Inc.
Initial release20162016200820052001
Current release17037.2.4, September 20122.2.220, July 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemshostedLinuxFreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesno
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoyes infowith proprietary extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
LDAPJDBCJDBC
ODBC
Proprietary protocol
Supported programming languagesJavaAll languages with LDAP bindingsC
C++
Java
PHP
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavanonoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeAtos Standard Common RepositoryDrizzleH2Sphinx
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