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DBMS > Apache IoTDB vs. Derby vs. Firebase Realtime Database vs. RavenDB vs. WakandaDB

System Properties Comparison Apache IoTDB vs. Derby vs. Firebase Realtime Database vs. RavenDB vs. WakandaDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRavenDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSDocument storeDocument storeObject oriented DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteiotdb.apache.orgdb.apache.org/­derbyfirebase.google.com/­products/­realtime-databaseravendb.netwakanda.github.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldb.apache.org/­derby/­manuals/­index.htmlfirebase.google.com/­docs/­databaseravendb.net/­docswakanda.github.io/­doc
DeveloperApache Software FoundationApache Software FoundationGoogle infoacquired by Google 2014Hibernating RhinosWakanda SAS
Initial release20181997201220102012
Current release1.1.0, April 202310.17.1.0, November 20235.4, July 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#C++, JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMhostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (RQL)no
APIs and other access methodsJDBC
Native API
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaJava
JavaScript
Objective-C
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyesJava Stored Procedureslimited functionality with using 'rules'yesyes
TriggersyesyesCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes, based on authentication and database rulesAuthorization levels configured per client per databaseyes

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More resources
Apache IoTDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFirebase Realtime DatabaseRavenDBWakandaDB
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