DBMS > FeatureBase vs. PostgreSQL vs. RavenDB
System Properties Comparison FeatureBase vs. PostgreSQL vs. RavenDB
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|Editorial information provided by DB-Engines
|FeatureBase Xexclude from comparison
|PostgreSQL Xexclude from comparison
|RavenDB Xexclude from comparison
|Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
|Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
|Open Source Operational and Transactional Enterprise NoSQL Document Database
|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.
|Secondary database models
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
Time Series DBMS
|Molecula and Pilosa Open Source Contributors
|PostgreSQL Global Development Group www.postgresql.org/developer
|1989 1989: Postgres, 1996: PostgreSQL
|2022, May 2022
|16.2, February 2024
|5.4, July 2022
|License Commercial or Open Source
|Open Source BSD
|Open Source AGPL version 3, commercial license available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
|Server operating systems
|Typing predefined data types such as float or date
|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.
|SQL Support of SQL
|yes standard with numerous extensions
|SQL-like query language (RQL)
|APIs and other access methods
native C library
streaming API for large objects
|.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
|Partitioning methods Methods for storing different data on different nodes
|partitioning by range, list and (since PostgreSQL 11) by hash
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication other methods possible by using 3rd party extensions
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID, Cluster-wide transaction available
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes, using Linux fsync
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|fine grained access rights according to SQL-standard
|Authorization levels configured per client per database
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