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DBMS > Apache Druid vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. SpatiaLite

System Properties Comparison Apache Druid vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraphite  Xexclude from comparisonSpatiaLite  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpatial extension of SQLite
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document storeTime Series DBMSSpatial 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
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­graphite-project/­graphite-webwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasegraphite.readthedocs.iowww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsFatCloudGoogle infoacquired by Google 2014Chris DavisAlessandro Furieri
Initial release20122012201220062008
Current release29.0.1, April 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#PythonC++
Server operating systemsLinux
OS X
Unix
WindowshostedLinux
Unix
server-less
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingno infoVia inetgration in SQL Servernonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#Java
JavaScript
Objective-C
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationslimited functionality with using 'rules'nono
Triggersnoyes infovia applicationsCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
none
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesnono

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More resources
Apache DruidFatDBFirebase Realtime DatabaseGraphiteSpatiaLite
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