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DBMS > Firebase Realtime Database vs. Hypertable vs. InfinityDB vs. IRONdb

System Properties Comparison Firebase Realtime Database vs. Hypertable vs. InfinityDB vs. IRONdb

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  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 Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument storeWide column storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Websitefirebase.google.com/­products/­realtime-databaseboilerbay.comwww.circonus.com/solutions/time-series-database/
Technical documentationfirebase.google.com/­docs/­databaseboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperGoogle infoacquired by Google 2014Hypertable Inc.Boiler Bay Inc.Circonus LLC.
Initial release2012200920022017
Current release0.9.8.11, March 20164.0V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMLinux
Data schemeschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histograms
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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyes, in Lua
TriggersCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.nono
User concepts infoAccess controlyes, based on authentication and database rulesnonono

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More resources
Firebase Realtime DatabaseHypertableInfinityDBIRONdb
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