DBMS > Apache Druid vs. PostgreSQL vs. SAP SQL Anywhere
System Properties Comparison Apache Druid vs. PostgreSQL vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||PostgreSQL Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|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.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Apache Software Foundation and contributors||PostgreSQL Global Development Group www.postgresql.org/developer||SAP formerly Sybase|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||1992|
|Current release||25.0.0, January 2023||15.2, February 2023||17, July 2015|
|License Commercial or Open Source||Open Source Apache license v2||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Data scheme||yes schema-less columns are supported||yes||yes|
|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.||no||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||SQL for querying||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes, in C/C++, Java, .Net or Perl|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||Source-replica replication other methods possible by using 3rd party extensions||Source-replica replication Database mirroring|
|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||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|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||no||yes|
|User concepts Access control||RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Apache Druid||PostgreSQL||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
Driving the Future of PostgreSQL Adoption
|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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