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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebird  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonopenGauss  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 FlinkFirebird is an open source RDBMS forked from Borland's InterBaseServerless Time Series DBMSWell established RDBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websiteiotdb.apache.orgwww.firebirdsql.orghyprcubd.com (offline)www.actian.com/­databases/­ingresgitee.com/­opengauss
opengauss.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.firebirdsql.org/­en/­reference-manualsdocs.actian.com/­ingresdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software FoundationFirebird FoundationHyprcubd, Inc.Actian CorporationHuawei and openGauss community
Initial release20182000 infoAs fork of Borland's InterBase1974 infooriginally developed at University Berkely in early 1970s2019
Current release1.1.0, April 20235.0.1, August 202412.0, July 20243.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicensecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++GoCC, C++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyesANSI SQL 2011
APIs and other access methodsJDBC
Native API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresyesPSQLnoyesyes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning (by range, list and hash)
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 replicationIngres ReplicatorSource-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersnoyes infoMVCCyes
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.yesnonono
User concepts infoAccess controlyesUsers with fine-grained authorization concepttoken accessfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBFirebirdHyprcubdIngresopenGauss
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