DBMS > Citus vs. HarperDB vs. Oracle Rdb
System Properties Comparison Citus vs. HarperDB vs. Oracle Rdb
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|Editorial information provided by DB-Engines|
|Name||Citus Xexclude from comparison||HarperDB Xexclude from comparison||Oracle Rdb Xexclude from comparison|
|Description||Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.|
|Primary database model||Relational DBMS||Document store||Relational DBMS|
|Secondary database models||Document store|
|Developer||HarperDB||Oracle, originally developed by Digital Equipment Corporation (DEC)|
|Current release||8.1, December 2018||3.1, August 2021||126.96.36.199, 2021|
|License Commercial or Open Source||Open Source AGPL, commercial license also available||commercial free community edition available||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||Linux|
|HP Open VMS|
|Data scheme||yes||dynamic schema||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||yes||yes JSON data types||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 data manipulation statements||yes|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP/JSON API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||Custom Functions since release 3.1|
|Partitioning methods Methods for storing different data on different nodes||Sharding||A table resides as a whole on one (or more) nodes in a cluster|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||yes the nodes on which a table resides can be defined|
|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||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Atomic execution of specific operations||yes, on a single node|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes, using LMDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights for users and roles|
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