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DBMS > Apache IoTDB vs. FeatureBase vs. Firebird vs. Hyprcubd vs. Ingres

System Properties Comparison Apache IoTDB vs. FeatureBase vs. Firebird vs. Hyprcubd vs. Ingres

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonFirebird  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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 FlinkReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Firebird is an open source RDBMS forked from Borland's InterBaseServerless Time Series DBMSWell established RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websiteiotdb.apache.orgwww.featurebase.comwww.firebirdsql.orghyprcubd.com (offline)www.actian.com/­databases/­ingres
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.featurebase.comwww.firebirdsql.org/­en/­reference-manualsdocs.actian.com/­ingres
DeveloperApache Software FoundationMolecula and Pilosa Open Source ContributorsFirebird FoundationHyprcubd, Inc.Actian Corporation
Initial release201820172000 infoAs fork of Borland's InterBase1974 infooriginally developed at University Berkely in early 1970s
Current release1.1.0, April 20232022, May 20225.0.0, January 202411.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC and C++GoC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infotime, int, uint, float, stringyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL queriesyesSQL-like query languageyes
APIs and other access methodsJDBC
Native API
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPSQLnoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersnoyes infoMVCC
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyesUsers with fine-grained authorization concepttoken accessfine grained access rights according to SQL-standard

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More resources
Apache IoTDBFeatureBaseFirebirdHyprcubdIngres
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