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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebird  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonRockset  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 RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteiotdb.apache.orgwww.firebirdsql.orghyprcubd.com (offline)www.actian.com/­databases/­ingresrockset.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.firebirdsql.org/­en/­reference-manualsdocs.actian.com/­ingresdocs.rockset.com
DeveloperApache Software FoundationFirebird FoundationHyprcubd, Inc.Actian CorporationRockset
Initial release20182000 infoAs fork of Borland's InterBase1974 infooriginally developed at University Berkely in early 1970s2019
Current release1.1.0, April 20235.0.0, January 202411.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++GoCC++
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
hosted
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyesRead-only SQL queries, including JOINs
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)
HTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesPSQLnoyesno
Triggersyesyesnoyesno
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 simultaneouslyAutomatic sharding
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 Replicatoryes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
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.yesnono
User concepts infoAccess controlyesUsers with fine-grained authorization concepttoken accessfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache IoTDBFirebirdHyprcubdIngresRockset
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