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DBMS > BigObject vs. Firebase Realtime Database vs. HBase vs. Newts vs. PouchDB

System Properties Comparison BigObject vs. Firebase Realtime Database vs. HBase vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeWide column storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Websitebigobject.iofirebase.google.com/­products/­realtime-databasehbase.apache.orgopennms.github.io/­newtspouchdb.com
Technical documentationdocs.bigobject.iofirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperBigObject, Inc.Google infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS GroupApache Software Foundation
Initial release20152012200820142012
Current release2.3.4, January 20217.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesno
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 indexesyesyesnonoyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaJavaScript
Server-side scripts infoStored proceduresLualimited functionality with using 'rules'yes infoCoprocessors in JavanoView functions in JavaScript
TriggersnoCallbacks are triggered when data changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
BigObjectFirebase Realtime DatabaseHBaseNewtsPouchDB
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