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DBMS > Apache IoTDB vs. jBASE vs. PostgreSQL vs. RisingWave

System Properties Comparison Apache IoTDB vs. jBASE vs. PostgreSQL vs. RisingWave

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonjBASE  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRisingWave  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 FlinkA robust multi-value DBMS comprising development tools and middlewareWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websiteiotdb.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.postgresql.orgwww.risingwave.com/­database
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.postgresql.org/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software FoundationRocket Software (formerly Zumasys)PostgreSQL Global Development Group infowww.postgresql.org/­developerRisingWave Labs
Initial release201819911989 info1989: Postgres, 1996: PostgreSQL2022
Current release1.1.0, April 20235.716.4, August 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaCRust
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesStandard SQL-types and JSON
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageEmbedded SQL for jBASE in BASICyes infostandard with numerous extensionsyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Basic
Jabbascript
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.UDFs in Python or Java
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingpartitioning by range, list and (since PostgreSQL 11) by 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 replicasyesSource-replica replication infoother methods possible by using 3rd party extensions
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
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardUsers and Roles

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Apache IoTDBjBASEPostgreSQLRisingWave
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