DBMS > Fauna vs. Infobright vs. Netezza
System Properties Comparison Fauna vs. Infobright vs. Netezza
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|Editorial information provided by DB-Engines
|Fauna previously named FaunaDB Xexclude from comparison
|Infobright Xexclude from comparison
|Netezza Also called PureData System for Analytics by IBM Xexclude from comparison
|Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
|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
|Ignite Technologies Inc.; formerly InfoBright Inc.
|License Commercial or Open Source
|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
|APIs and other access methods
|RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning consistent hashing
|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
|Identity management, authentication, and access control
|fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities
|Users with fine-grained authorization concept
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|Fauna previously named FaunaDB
|Netezza Also called PureData System for Analytics by IBM
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