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DBMS > Apache IoTDB vs. Firebase Realtime Database vs. Quasardb vs. Titan

System Properties Comparison Apache IoTDB vs. Firebase Realtime Database vs. Quasardb vs. Titan

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.Distributed, high-performance timeseries databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteiotdb.apache.orgfirebase.google.com/­products/­realtime-databasequasar.aigithub.com/­thinkaurelius/­titan
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasedoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software FoundationGoogle infoacquired by Google 2014quasardbAurelius, owned by DataStax
Initial release2018201220092012
Current release1.1.0, April 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)hostedBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyes
TriggersyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoconsistent hashingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknowith Hadoop integrationyes infovia Faunus, a graph analytics engine
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
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlyesyes, based on authentication and database rulesCryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Server

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More resources
Apache IoTDBFirebase Realtime DatabaseQuasardbTitan
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