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

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

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryMaxCompute (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 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 modelDocument store
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineObject oriented DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
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
Websitealasql.orgwww.alibabacloud.com/­product/­maxcomputesphinxsearch.comwakanda.github.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­maxcomputesphinxsearch.com/­docswakanda.github.io/­docydb.tech/­en/­docs
DeveloperAndrey Gershun & Mathias R. WulffAlibabaSphinx Technologies Inc.Wakanda SASYandex
Initial release20142016200120122019
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen 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 servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nononono
Secondary indexesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageSQL-like query language (SphinxQL)noSQL-like query language (YQL)
APIs and other access methodsJavaScript APIFluentd
Flume
MaxCompute Console
Proprietary protocolRESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesJavaScriptJavaC++ 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 proceduresnouser defined functions infoin Javanoyesno
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud servicenonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes 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.yesnonono
User concepts infoAccess controlnoAccess rights for users and rolesnoyesAccess rights defined for Yandex Cloud users

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More resources
AlaSQLAlibaba Cloud MaxComputeSphinxWakandaDBYDB
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