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DBMS > Alibaba Cloud MaxCompute vs. Sphinx vs. Vitess vs. VoltDB vs. WakandaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Sphinx vs. Vitess vs. VoltDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparisonVoltDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputesphinxsearch.comvitess.iowww.voltdb.comwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputesphinxsearch.com/­docsvitess.io/­docsdocs.voltdb.comwakanda.github.io/­doc
DeveloperAlibabaSphinx Technologies Inc.The Linux Foundation, PlanetScaleVoltDB Inc.Wakanda SAS
Initial release20162001201320102012
Current release3.5.1, February 202315.0.2, December 202211.3, April 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava, C++C++, JavaScript
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
OS X infofor development
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes infowith proprietary extensionsyes infoonly a subset of SQL 99no
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Java API
JDBC
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infoproprietary syntaxJavayes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesnoUsers with fine-grained authorization concept infono user groups or rolesUsers and roles with access to stored proceduresyes

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More resources
Alibaba Cloud MaxComputeSphinxVitessVoltDBWakandaDB
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