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DBMS > Firebase Realtime Database vs. H2 vs. HarperDB vs. Ignite

System Properties Comparison Firebase Realtime Database vs. H2 vs. HarperDB vs. Ignite

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Ultra-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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.h2database.comwww.harperdb.ioignite.apache.org
Technical documentationfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsapacheignite.readme.io/­docs
DeveloperGoogle infoacquired by Google 2014Thomas MuellerHarperDBApache Software Foundation
Initial release2012200520172015
Current release2.2.220, July 20233.1, August 2021Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++, Java, .Net
Server operating systemshostedAll OS with a Java VMLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJava
JavaScript
Objective-C
Java.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
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'Java Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1yes (compute grid and cache interceptors can be used instead)
TriggersCallbacks are triggered when data changesyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights for users and rolesSecurity Hooks for custom implementations

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More resources
Firebase Realtime DatabaseH2HarperDBIgnite
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