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DBMS > Apache IoTDB vs. Firebase Realtime Database vs. H2GIS vs. Interbase vs. LevelDB

System Properties Comparison Apache IoTDB vs. Firebase Realtime Database vs. H2GIS vs. Interbase vs. LevelDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2GIS  Xexclude from comparisonInterbase  Xexclude from comparisonLevelDB  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.Spatial extension of H2Light-weight proven RDBMS infooriginally from BorlandEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelTime Series DBMSDocument storeSpatial DBMSRelational DBMSKey-value store
Secondary database modelsRelational 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
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteiotdb.apache.orgfirebase.google.com/­products/­realtime-databasewww.h2gis.orgwww.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasewww.h2gis.org/­docs/­homedocs.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software FoundationGoogle infoacquired by Google 2014CNRSEmbarcaderoGoogle
Initial release20182012201319842011
Current release1.1.0, April 2023InterBase 2020, December 20191.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoLGPL 3.0commercialOpen Source infoBSD
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 languageJavaJavaCC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAndroid
iOS
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoexport as XML data possibleno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesyesno
APIs and other access methodsJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infobased on H2yes infoInterbase procedure and trigger languageno
TriggersyesCallbacks are triggered when data changesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenone
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 infobased on H2Interbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
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 rulesyes infobased on H2fine grained access rights according to SQL-standardno

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More resources
Apache IoTDBFirebase Realtime DatabaseH2GISInterbaseLevelDB
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