DBMS > EXASOL vs. Google Cloud Datastore vs. PostgreSQL
System Properties Comparison EXASOL vs. Google Cloud Datastore vs. PostgreSQL
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|Editorial information provided by DB-Engines|
|Name||EXASOL Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||PostgreSQL Xexclude from comparison|
|Description||High-performance, in-memory, MPP database specifically designed for in-memory analytics.||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL|
|Primary database model||Relational DBMS||Document store||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.|
|Secondary database models||Document store|
|Developer||Exasol||PostgreSQL Global Development Group www.postgresql.org/developer|
|Initial release||2000||2008||1989 1989: Postgres, 1996: PostgreSQL|
|Current release||14.4, June 2022|
|License Commercial or Open Source||commercial||commercial||Open Source BSD|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||yes, details here||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||no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||yes||SQL-like query language (GQL)||yes standard with numerous extensions|
|APIs and other access methods||.Net|
|gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages||Java|
|Server-side scripts Stored procedures||user defined functions||using Google App Engine||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.|
|Triggers||yes||Callbacks using the Google Apps Engine||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes Hadoop integration||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes via ReferenceProperties or Ancestor paths||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||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.||yes||no||no|
|User concepts Access control||Access rights for users, groups and roles according to SQL-standard||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard|
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|EXASOL||Google Cloud Datastore||PostgreSQL|
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