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DBMS > Apache Druid vs. Firebase Realtime Database vs. Oracle Coherence vs. OrigoDB vs. TimescaleDB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. Oracle Coherence vs. OrigoDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOracle Coherence  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  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.Oracles in-memory data grid solutionA fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value storeDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational 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
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.oracle.com/­java/­coherenceorigodb.comwww.timescale.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasedocs.oracle.com/­en/­middleware/­standalone/­coherenceorigodb.com/­docsdocs.timescale.com
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014OracleRobert Friberg et alTimescale
Initial release2012201220072009 infounder the name LiveDB2017
Current release29.0.1, April 202414.1, August 20232.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#C
Server operating systemsLinux
OS X
Unix
hostedAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononono infocan be achieved using .NETyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
.Net
C++
Java
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoCallbacks are triggered when data changesyes infoLive Eventsyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, with selectable consistency levelSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoWrite ahead logyes
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 systemyes, based on authentication and database rulesauthentification to access the cache via certificates or http basic authenticationRole based authorizationfine grained access rights according to SQL-standard

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More resources
Apache DruidFirebase Realtime DatabaseOracle CoherenceOrigoDBTimescaleDB
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