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DBMS > Apache Druid vs. Firebase Realtime Database vs. Hawkular Metrics vs. HBase vs. OrigoDB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. Hawkular Metrics vs. HBase vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableA fully ACID in-memory object graph database
Primary database modelRelational DBMS
Time Series DBMS
Document storeTime Series DBMSWide column storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.hawkular.orghbase.apache.orgorigodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlorigodb.com/­docs
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Community supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetRobert Friberg et al
Initial release20122012201420082009 infounder the name LiveDB
Current release29.0.1, April 20242.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC#
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL for queryingnononono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
RESTful HTTP API
Thrift
.NET Client API
HTTP API
LINQ
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes infoCoprocessors in Javayes
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rulesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based authorization

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More resources
Apache DruidFirebase Realtime DatabaseHawkular MetricsHBaseOrigoDB
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