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DBMS > Derby vs. Firebase Realtime Database vs. Hazelcast vs. ObjectBox

System Properties Comparison Derby vs. Firebase Realtime Database vs. Hazelcast vs. ObjectBox

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Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionFull-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.A widely adopted in-memory data gridExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSDocument storeKey-value storeObject oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitedb.apache.org/­derbyfirebase.google.com/­products/­realtime-databasehazelcast.comobjectbox.io
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsdocs.objectbox.io
DeveloperApache Software FoundationGoogle infoacquired by Google 2014HazelcastObjectBox Limited
Initial release1997201220082017
Current release10.17.1.0, November 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMAndroid
iOS
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeyes
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary native API
Supported programming languagesJavaJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresJava Stored Procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesno
TriggersyesCallbacks are triggered when data changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Maponline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesRole-based access controlyes
More information provided by the system vendor
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFirebase Realtime DatabaseHazelcastObjectBox
News

The first On-Device Vector Database: ObjectBox 4.0
16 May 2024

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFirebase Realtime DatabaseHazelcastObjectBox
DB-Engines blog posts

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12 December 2019, Paul Andlinger

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