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DBMS > Apache Druid vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. SiteWhere

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSiteWhere  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.Distributed Event Store optimized for Internet of Things use casesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Document storeEvent Store
Time Series DBMS
Time Series 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storegithub.com/­sitewhere/­sitewhere
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storesitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014IBMSiteWhere
Initial release2012201220172010
Current release29.0.1, April 20242.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsLinux
OS X
Unix
hostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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 rulesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache DruidFirebase Realtime DatabaseIBM Db2 Event StoreSiteWhere
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