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DBMS > Apache Druid vs. HBase vs. LevelDB vs. PouchDB vs. Sequoiadb

System Properties Comparison Apache Druid vs. HBase vs. LevelDB vs. PouchDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeKey-value storeDocument storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitedruid.apache.orghbase.apache.orggithub.com/­google/­leveldbpouchdb.comwww.sequoiadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guideswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleApache Software FoundationSequoiadb Ltd.
Initial release20122008201120122013
Current release29.0.1, April 20242.3.4, January 20211.23, February 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoBSDOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaScriptC++
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnonoyes infooid, date, timestamp, binary, regex
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 indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLSQL for queryingnononoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavanoView functions in JavaScriptJavaScript
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)nonoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes 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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonosimple password-based access control

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Apache DruidHBaseLevelDBPouchDBSequoiadb
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