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DBMS > Apache Druid vs. Firebase Realtime Database vs. GeoSpock vs. HarperDB vs. SwayDB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. GeoSpock vs. HarperDB vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonSwayDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scaleUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSDocument storeKey-value store
Secondary database modelsTime 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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasegeospock.comwww.harperdb.ioswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasedocs.harperdb.io/­docs
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014GeoSpockHarperDBSimer Plaha
Initial release2012201220172018
Current release29.0.1, April 20242.0, September 20193.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infofree community edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptNode.jsScala
Server operating systemsLinux
OS X
Unix
hostedhostedLinux
OS X
Data schemeyes infoschema-less columns are supportedschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data typesno
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
Secondary indexesyesyestemporal, categoricalyesno
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)SQL-like data manipulation statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noCustom Functions infosince release 3.1no
TriggersnoCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definednone
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
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoAtomic execution of specific operationsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
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 rulesAccess rights for users can be defined per tableAccess rights for users and rolesno

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More resources
Apache DruidFirebase Realtime DatabaseGeoSpockHarperDBSwayDB
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