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DBMS > Alibaba Cloud MaxCompute vs. Badger vs. PouchDB vs. Spark SQL vs. Yanza

System Properties Comparison Alibaba Cloud MaxCompute vs. Badger vs. PouchDB vs. Spark SQL vs. Yanza

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it 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 warehousingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.JavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS for IoT Applications
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgerpouchdb.comspark.apache.org/­sqlyanza.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaDGraph LabsApache Software FoundationApache Software FoundationYanza
Initial release20162017201220142015
Current release7.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptScala
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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.nonononono
Secondary indexesnonoyes infovia viewsnono
SQL infoSupport of SQLSQL-like query languagenonoSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
HTTP API
Supported programming languagesJavaGoJavaScriptJava
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions infoin JavanoView functions in JavaScriptnono
Triggersnonoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesnononono

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More resources
Alibaba Cloud MaxComputeBadgerPouchDBSpark SQLYanza
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