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DBMS > DuckDB vs. eXtremeDB vs. NSDb vs. PostgreSQL vs. RRDtool

System Properties Comparison DuckDB vs. eXtremeDB vs. NSDb vs. PostgreSQL vs. RRDtool

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonNSDb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series 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
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteduckdb.orgwww.mcobject.comnsdb.iowww.postgresql.orgoss.oetiker.ch/­rrdtool
Technical documentationduckdb.org/­docswww.mcobject.com/­docs/­extremedb.htmnsdb.io/­Architecturewww.postgresql.org/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperMcObjectPostgreSQL Global Development Group infowww.postgresql.org/­developerTobias Oetiker
Initial release2018200120171989 info1989: Postgres, 1996: PostgreSQL1999
Current release0.10, February 20248.2, 202116.3, May 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java, ScalaCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsserver-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
HP-UX
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesNumeric data only
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.nono infosupport of XML interfaces availablenoyes infospecific XML-type available, but no XML query functionality.no infoExporting into and restoring from XML files possible
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLSQL-like query languageyes infostandard with numerous extensionsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno
More information provided by the system vendor
DuckDBeXtremeDBNSDbPostgreSQLRRDtool
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DuckDBeXtremeDBNSDbPostgreSQLRRDtool
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