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DBMS > Alibaba Cloud MaxCompute vs. Brytlyt vs. Drizzle vs. H2 vs. Sphinx

System Properties Comparison Alibaba Cloud MaxCompute vs. Brytlyt vs. Drizzle vs. H2 vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonSphinx  Xexclude from comparison
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 warehousingScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL 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 tablesRelational DBMSRelational 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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputebrytlyt.iowww.h2database.comsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.brytlyt.iowww.h2database.com/­html/­main.htmlsphinxsearch.com/­docs
DeveloperAlibabaBrytlytDrizzle project, originally started by Brian AkerThomas MuellerSphinx Technologies Inc.
Initial release20162016200820052001
Current release5.0, August 20237.2.4, 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 languageC, C++ and CUDAC++JavaC++
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesyes infowith proprietary extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
Proprietary protocol
Supported programming languagesJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
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 Javauser defined functions infoin PL/pgSQLnoJava 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 serviceShardingnoneSharding 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 serviceSource-replica replicationMulti-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 methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
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.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeBrytlytDrizzleH2Sphinx
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