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DBMS > Apache Pinot vs. Badger vs. Hypertable vs. PouchDB

System Properties Comparison Apache Pinot vs. Badger vs. Hypertable vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBadger  Xexclude from comparisonHypertable  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitepinot.apache.orggithub.com/­dgraph-io/­badgerpouchdb.com
Technical documentationdocs.pinot.apache.orggodoc.org/­github.com/­dgraph-io/­badgerpouchdb.com/­guides
DeveloperApache Software Foundation and contributorsDGraph LabsHypertable Inc.Apache Software Foundation
Initial release2015201720092012
Current release1.0.0, September 20230.9.8.11, March 20167.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++JavaScript
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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.nono
Secondary indexesnorestricted infoonly exact value or prefix value scansyes infovia views
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCC++ API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
GoC++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScript
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controlnonono

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More resources
Apache PinotBadgerHypertablePouchDB
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