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DBMS > Cassandra vs. Druid vs. Firebase Realtime Database

System Properties Comparison Cassandra vs. Druid vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDruid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOpen-source analytics data store designed for OLAP queries on timeseries dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.72
Rank#10  Overall
#1  Wide column stores
Score1.69
Rank#118  Overall
#61  Relational DBMS
#7  Time Series DBMS
Score11.28
Rank#41  Overall
#7  Document stores
Websitecassandra.apache.orgdruid.iofirebase.google.com/­products/­realtime-database
Technical documentationcassandra.apache.org/­doc/­latestdruid.io/­docs/­latest/­design/­index.htmlfirebase.google.com/­docs/­database
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMetamarkets Group and contributorsGoogle infoacquired by Google 2014
Initial release200820122012
Current release3.11.4, February 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
hosted
Data schemeschema-freeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL support via Apache Calcite adapterno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JSON over HTTPAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'
TriggersyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per objectno infoavailable via extensionsyes, based on authentication and database rules
More information provided by the system vendor
CassandraDruidFirebase Realtime Database
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Instaclustr: Fully Hosted and Managed Apache Cassandra
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CassandraDruidFirebase Realtime Database
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Conferences and events

DataStax Accelerate, Apache Cassandra Conference
National Harbor, Maryland, USA, 21-23 May 2019

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