DBMS > jBASE vs. PostgreSQL vs. Quasardb
System Properties Comparison jBASE vs. PostgreSQL vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||jBASE Xexclude from comparison||PostgreSQL Xexclude from comparison||Quasardb Xexclude from comparison|
|Description||A robust multi-value DBMS comprising development tools and middleware||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Distributed, high-performance timeseries database|
|Primary database model||Multivalue DBMS||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|
|Secondary database models||Document store|
|Developer||Zumasys||PostgreSQL Global Development Group www.postgresql.org/developer||quasardb|
|Initial release||1991||1989 1989: Postgres, 1996: PostgreSQL||2009|
|Current release||5.7||12.1, November 2019||3.1, January 2019|
|License Commercial or Open Source||commercial||Open Source BSD||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|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||AIX|
|Typing predefined data types such as float or date||optional||yes||yes integer and binary|
|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||yes specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||yes||yes with tags|
|SQL Support of SQL||Embedded SQL for jBASE in BASIC||yes standard with numerous extensions||SQL-like query language|
|APIs and other access methods||JDBC|
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||yes||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||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Master-slave replication other methods possible by using 3rd party extensions||Master-slave replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||with Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes Transient mode|
|User concepts Access control||Access rights can be defined down to the item level||fine grained access rights according to SQL-standard||Cryptographically strong user authentication and audit trail|
|More information provided by the system vendor|
|Specific characteristics||High-performance , high-speed, fully integrated timeseries database Seamlessly combines...|
|Competitive advantages||High performance in a cost-effective small package Real-time results for even large...|
|Typical application scenarios||Tick database Predictive maintenance Pre-deal checks Large scale monitoring|
|Key customers||Large EU investment banks US based hedge funds Orolia Tellmeplus|
|Market metrics||Has been running in very demanding production environments since 2013 Rapid adoption...|
|Licensing and pricing models||Community edition limited to 2 nodes and 16 GiB of storage per node available for...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.|
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
pgDash: In-Depth PostgreSQL Monitoring.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PGCon 2020, PostgreSQL Conference for Users and Developers
|Recent citations in the news|
Zumasys Acquires jBASE Database
Temenos sells non-banking part of jBase to Zumasys
Vultar Releases JDBC Drivers for jBASE
provided by Google News
Hands-on SQL in PostgreSQL
PostgreSQL turns performance up for v12 release
PostgreSQL puts the pedal to the metal with some smart indexing tweaks in version 12
Thomas Munro from EnterpriseDB on parallelism in PostgreSQL
PostgreSQL committer Stephen Frost shares his vision for PostgreSQL version 12 and beyond
provided by Google News
LiquidityEdge collaborates with QuasarDB to create data analytics service
QuasarDB Delivers Major Speed Advantage With Version 3.0 of Its Time Series Database
QuasarDB raises $2.5 million to advance its Disruptive Database Solution
Home in Washington fetches $157K
Ultrabright Quasar Lit Up the Early Universe
provided by Google News
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