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DBMS > Firebase Realtime Database vs. Hypertable vs. IRONdb vs. Solr vs. XTDB

System Properties Comparison Firebase Realtime Database vs. Hypertable vs. IRONdb vs. Solr vs. XTDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSolr  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA widely used distributed, scalable search engine based on Apache LuceneA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeWide column storeTime Series DBMSSearch engineDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitefirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/solr.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-startedsolr.apache.org/­resources.htmlwww.xtdb.com/­docs
DeveloperGoogle infoacquired by Google 2014Hypertable Inc.Circonus LLC.Apache Software FoundationJuxt Ltd.
Initial release20122009201720062019
Current release0.9.8.11, March 2016V0.10.20, January 20189.6.1, May 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaClojure
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesnoyes infotext, numeric, histogramsyes infosupports customizable data types and automatic typingyes, extensible-data-notation format
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.nonoyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)Solr Parallel SQL Interfacelimited SQL, making use of Apache Calcite
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
HTTP APIJava API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes, in LuaJava pluginsno
TriggersCallbacks are triggered when data changesnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awareyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
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 consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesnonoyes

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More resources
Firebase Realtime DatabaseHypertableIRONdbSolrXTDB infoformerly named Crux
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