DBMS > DolphinDB vs. Infobright vs. Netezza
System Properties Comparison DolphinDB vs. Infobright vs. Netezza
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|Editorial information provided by DB-Engines
|DolphinDB Xexclude from comparison
|Infobright Xexclude from comparison
|Netezza Also called PureData System for Analytics by IBM Xexclude from comparison
|DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.
|High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
|Data warehouse and analytics appliance part of IBM PureSystems
|Primary database model
|Time Series DBMS
|Secondary database models
|Ignite Technologies Inc.; formerly InfoBright Inc.
|v2.00.4, January 2022
|License Commercial or Open Source
|commercial free community version available
|commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Linux included in appliance
|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.
|no Knowledge Grid Technology used instead
|SQL Support of SQL
|SQL-like query language
|APIs and other access methods
JSON over HTTP
MQTT (Message Queue Telemetry Transport)
|Supported programming languages
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Administrators, Users, Groups
|fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities
|Users with fine-grained authorization concept
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|Netezza Also called PureData System for Analytics by IBM
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