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DBMS > Apache IoTDB vs. Firebase Realtime Database vs. HugeGraph vs. InfluxDB

System Properties Comparison Apache IoTDB vs. Firebase Realtime Database vs. HugeGraph vs. InfluxDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  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.A fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metrics
Primary database modelTime Series DBMSDocument storeGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Websiteiotdb.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overview
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasehugegraph.apache.org/­docsdocs.influxdata.com/­influxdb
DeveloperApache Software FoundationGoogle infoacquired by Google 2014Baidu
Initial release2018201220182013
Current release1.1.0, April 20230.92.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
macOS
Unix
Linux
OS X infothrough Homebrew
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Strings
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.nononono
Secondary indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'asynchronous Gremlin script jobsno
TriggersyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknovia hugegraph-sparkno
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
Eventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlyesyes, based on authentication and database rulesUsers, roles and permissionssimple rights management via user accounts
More information provided by the system vendor
Apache IoTDBFirebase Realtime DatabaseHugeGraphInfluxDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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