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DBMS > Apache IoTDB vs. Firebase Realtime Database vs. Graphite vs. GridGain vs. Ignite

System Properties Comparison Apache IoTDB vs. Firebase Realtime Database vs. Graphite vs. GridGain vs. Ignite

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  Xexclude from comparisonIgnite  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 FlinkCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGridGain is an in-memory computing platform, built on Apache IgniteApache 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 modelTime Series DBMSDocument storeTime Series DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteiotdb.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­graphite-project/­graphite-webwww.gridgain.comignite.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasegraphite.readthedocs.iowww.gridgain.com/­docs/­index.htmlapacheignite.readme.io/­docs
DeveloperApache Software FoundationGoogle infoacquired by Google 2014Chris DavisGridGain Systems, Inc.Apache Software Foundation
Initial release20182012200620072015
Current release1.1.0, April 2023GridGain 8.5.1Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJava, C++, .NetC++, Java, .Net
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
Unix
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nononoyesyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)
TriggersyesCallbacks are triggered when data changesnoyes (cache interceptors and events)yes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyes (replicated cache)yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.yesyesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesnoSecurity Hooks for custom implementationsSecurity Hooks for custom implementations

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More resources
Apache IoTDBFirebase Realtime DatabaseGraphiteGridGainIgnite
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