DBMS > Infobright vs. PostgreSQL vs. VoltDB
System Properties Comparison Infobright vs. PostgreSQL vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||Infobright Xexclude from comparison||PostgreSQL Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Relational 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||Ignite Technologies Inc.; formerly InfoBright Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||VoltDB Inc.|
|Initial release||2005||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||12.0, October 2019||9.0, April 2019|
|License Commercial or Open Source||commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016||Open Source BSD||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C||C||Java, C++|
|Server operating systems||Linux|
OS X for development
|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.|
|Secondary indexes||no Knowledge Grid Technology used instead||yes||yes|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes only a subset of SQL 99|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Erlang not officially supported
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||Java|
|Partitioning methods Methods for storing different data on different nodes||none||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication||Master-slave replication other methods possible by using 3rd party extensions||Master-master replication|
|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|
|Foreign keys Referential integrity||no||yes||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities||fine grained access rights according to SQL-standard||Users and roles with access to stored procedures|
More information provided by the system vendor
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|Related products and services|
|3rd parties||2ndQuadrant: PostgreSQL Solutions for the Enterprise.|
pgDash: In-Depth PostgreSQL Monitoring.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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