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DBMS > Alibaba Cloud MaxCompute vs. Sphinx vs. Splice Machine vs. TimesTen vs. WakandaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Sphinx vs. Splice Machine vs. TimesTen vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  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 databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to OracleWakandaDB 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
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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputesphinxsearch.comsplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputesphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1wakanda.github.io/­doc
DeveloperAlibabaSphinx Technologies Inc.Splice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Wakanda SAS
Initial release20162001201419982012
Current release3.5.1, February 20233.1, March 202111 Release 2 (11.2.2.8.0)2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercialOpen 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++JavaC++, JavaScript
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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.nonono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yesyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocolJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infoJavaPL/SQLyes
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 supportedShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
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 methodsyesnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
Alibaba Cloud MaxComputeSphinxSplice MachineTimesTenWakandaDB
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