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DBMS > Apache IoTDB vs. Brytlyt vs. Firebird vs. InterSystems IRIS vs. TerarkDB

System Properties Comparison Apache IoTDB vs. Brytlyt vs. Firebird vs. InterSystems IRIS vs. TerarkDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebird  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTerarkDB  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 FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFirebird is an open source RDBMS forked from Borland's InterBaseA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteiotdb.apache.orgbrytlyt.iowww.firebirdsql.orgwww.intersystems.com/­products/­intersystems-irisgithub.com/­bytedance/­terarkdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iowww.firebirdsql.org/­en/­reference-manualsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationBrytlytFirebird FoundationInterSystemsByteDance, originally Terark
Initial release201820162000 infoAs fork of Borland's InterBase20182016
Current release1.1.0, April 20235.0, August 20235.0.0, January 20242023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoInitial Developer's Public Licensecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeyesyesyesdepending on used data modelschema-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.noyes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLPSQLyesno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
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 replicationSource-replica replicationSource-replica replicationnone
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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 controlyesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyesno
More information provided by the system vendor
Apache IoTDBBrytlytFirebirdInterSystems IRISTerarkDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache IoTDBBrytlytFirebirdInterSystems IRISTerarkDB
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