DBMS > DuckDB vs. NSDb vs. PostgreSQL vs. XTDB
System Properties Comparison DuckDB vs. NSDb vs. PostgreSQL vs. XTDB
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|Editorial information provided by DB-Engines|
|Name||DuckDB Xexclude from comparison||NSDb Xexclude from comparison||PostgreSQL Xexclude from comparison||XTDB formerly named Crux Xexclude from comparison|
|Description||An embeddable, in-process, column-oriented SQL OLAP RDBMS||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A general purpose database with bitemporal SQL and Datalog and graph queries|
|Primary database model||Relational DBMS||Time Series DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Juxt Ltd.|
|Initial release||2018||2017||1989 1989: Postgres, 1996: PostgreSQL||2019|
|Current release||0.2, August 2020||15.1, November 2022||1.19, September 2021|
|License Commercial or Open Source||Open Source MIT License||Open Source Apache Version 2.0||Open Source BSD||Open Source MIT License|
|Cloud-based only Only available as a cloud service||no||no||no||no|
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|Implementation language||C++||Java, Scala||C||Clojure|
|Server operating systems||server-less||Linux|
|All OS with a Java 8 (and higher) VM|
|Typing predefined data types such as float or date||yes||yes: int, bigint, decimal, string||yes||yes, extensible-data-notation format|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||yes||all fields are automatically indexed||yes||yes|
|SQL Support of SQL||yes||SQL-like query language||yes standard with numerous extensions||limited SQL, making use of Apache Calcite|
|APIs and other access methods||CLI Client|
native C library
streaming API for large objects
|Supported programming languages||C|
Go 3rd party driver
Ruby 3rd party driver
|Server-side scripts Stored procedures||no||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Source-replica replication other methods possible by using 3rd party extensions||yes, each node contains all data|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||yes||yes||yes|
|Durability Support for making data persistent||yes||Using Apache Lucene||yes||yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||no||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|DuckDB||NSDb||PostgreSQL||XTDB formerly named Crux|
|DB-Engines blog posts|
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