DBMS > PostgreSQL vs. QuestDB vs. SiteWhere
System Properties Comparison PostgreSQL vs. QuestDB vs. SiteWhere
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||QuestDB Xexclude from comparison||SiteWhere Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A high performance open source SQL database for time series data||M2M integration platform for persisting/querying time series data|
|Primary database model||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Time Series DBMS||Time Series DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||QuestDB Limited||SiteWhere|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2014||2010|
|Current release||13.2 , February 2021|
|License Commercial or Open Source||Open Source BSD||Open Source Apache 2.0||Open Source Common Public Attribution License Version 1.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.|
|Server operating systems||FreeBSD|
|Data scheme||yes||yes schema-free via InfluxDB Line Protocol||predefined scheme|
|Typing predefined data types such as float or date||yes||yes||yes|
|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.||yes specific XML-type available, but no XML query functionality.||no||no|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like query language||no|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
InfluxDB Line Protocol (TCP/UDP)
|Supported programming languages||.Net|
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||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||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal partitioning (by timestamps)||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Configurable consistency for N replicas||selectable replication factor based on HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID for single-table writes||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes through memory mapped files||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept|
|More information provided by the system vendor|
|Specific characteristics||Relational model with native time series support Column based storage and time partitioned...|
|Competitive advantages||Real-time data ingestion and istant SQL queries for time series High performance...|
|Typical application scenarios||Application metrics Financial market data and algo trading DevOps monitoring Real-time...|
|Licensing and pricing models||Apache 2.0.|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CYBERTEC is your professional partner for PostgreSQL services and Data Science since 2000. With offices in Austria, Uruguay, Estonia, Poland, South Africa and Switzerland, CYBERTEC operates worldwide and is here for you 24/7! |
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