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DBMS > Databend vs. EJDB vs. HBase vs. PouchDB

System Properties Comparison Databend vs. EJDB vs. HBase vs. PouchDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEJDB  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Wide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument storeWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­Softmotions/­ejdbhbase.apache.orgpouchdb.com
Technical documentationdocs.databend.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhbase.apache.org/­book.htmlpouchdb.com/­guides
DeveloperDatabend LabsSoftmotionsApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release2021201220082012
Current release1.0.59, April 20232.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCJavaJavaScript
Server operating systemshosted
Linux
macOS
server-lessLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idoptions to bring your own types, AVROno
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 indexesnononoyes infovia views
SQL infoSupport of SQLyesnonono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
in-process shared libraryJava API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in JavaView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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DatabendEJDBHBasePouchDB
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