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DBMS > Apache Doris vs. Bangdb vs. PouchDB vs. Sadas Engine

System Properties Comparison Apache Doris vs. Bangdb vs. PouchDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBangdb  Xexclude from comparisonPouchDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolConverged and high performance database for device data, events, time series, document and graphJavaScript DBMS with an API inspired by CouchDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
bangdb.compouchdb.comwww.sadasengine.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.bangdb.compouchdb.com/­guideswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from BaiduSachin Sinha, BangDBApache Software FoundationSADAS s.r.l.
Initial release2017201220122006
Current release1.2.2, February 2023BangDB 2.0, October 20217.1.1, June 20198.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaScriptC++
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infovia viewsyes
SQL infoSupport of SQLyesSQL like support with command line toolnoyes
APIs and other access methodsJDBC
MySQL client
Proprietary protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC
C#
C++
Java
Python
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptno
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)noAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisBangdbPouchDBSadas Engine
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