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DBMS > Apache Doris vs. BigchainDB vs. Elasticsearch vs. PouchDB

System Properties Comparison Apache Doris vs. BigchainDB vs. Elasticsearch vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument storeSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score128.79
Rank#8  Overall
#1  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
www.bigchaindb.comwww.elastic.co/­elasticsearchpouchdb.com
Technical documentationgithub.com/­apache/­doris/­wikibigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlpouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from BaiduElasticApache Software Foundation
Initial release2017201620102012
Current release1.2.2, February 20238.6, January 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoElastic LicenseOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJavaScript
Server operating systemsLinuxLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 infoAll search fields are automatically indexedyes infovia views
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsJDBC
MySQL client
CLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyesView functions in JavaScript
Triggersnoyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno

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More resources
Apache DorisBigchainDBElasticsearchPouchDB
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