Fluidinfo

Last updated
Fluidinfo
Original author(s) Terry Jones, Esteve Fernandez
Developer(s) Fluidinfo
Initial release2009
Written in Python, Twisted, PostgreSQL, Thrift, AMQP, Lucene
Available inEnglish
Website fluidinfo.com

Fluidinfo, formerly named FluidDB until early 2011, is an online cloud data store based on an attribute-value centric data model. [1] Fluidinfo is written in Python and characterized by a publicly writeable schema-less database that provides a query language, a fine-grained permissions model and promotes data sharing, both publicly and in groups. [2] The lack of an underlying RDBMS structure may classify Fluidinfo as a type of publicly writeable "collective database". [3] [4]

Contents

Overview

Few data stores are available with the intent to provide public write-access, except in narrow contexts. Two examples of shareable data stores operating in specific contexts are del.icio.us (shareable bookmarks) and Twitter (micro-blogging service). Fluidinfo offers a generalized shareable data store, where potentially any piece or type of information can be shared with anybody else, if desired, striving for a balance between individual, group and communal data ownership. Author and blogger Robert Scoble described Fluidinfo as a "database that acts like a wiki". [5]

Fluidinfo emphasizes three aspects that make it unique among existing public data stores:

Data model

The data model aims to be as flexible as possible, permitting a wide range of information to be stored in Fluidinfo. The fundamental difference between attribute-value stores (along the lines of EAV schemas) and traditional RDBMS is the lack of a highly defined top-down structure. The essence of Fluidinfo consists of arbitrary objects, which can be considered points in a data space to which tags may be attached. Objects have no owners, similar to concepts in the "real" world. Tags are initially controlled by the user/application who creates them and can be attached to objects, in a fashion reminiscent of how humans use their minds to create and associate information with physical objects or concepts. One of the underlying motivations of Fluidinfo is to make working with information more natural. [6] Anyone can attach tags to any data object, but only people with the right roles can see and search these tags. [7]

Query language

The query language was designed to perform complex queries in as simple a manner as possible. [8] The syntax is superficially reminiscent of information retrieval query languages such as CQL which are characterized as less complicated than traditional database query languages such as SQL. The query language always return object identifiers based on tag values, using the predicates below: [9]

Permissions

For each action that be applied to any tag or namespace within Fluidinfo, there is:

The various actions that can be performed on a tag are read, update, create and see. The combination of the various actions with policies and exceptions provides a fine-grained permission model within Fluidinfo. It should be re-emphasized that only tags and namespaces have permissions allowing for various levels of control. Objects (the basic Fluidinfo data structure) do not have owners and so cannot be controlled by users/applications.

Examples of the permission model in various states are shown in the table below: [10]

Tag or namespaceActionPolicyExceptions
tim/seenreadclosedtim, meg
mike/opinionupdateopen
mike/createclosed
meg/ratingseeopen
meg/ratingreadclosedmeg

Current status

The company Fluidinfo was founded in the UK in 2007 and operates out of New York City and Barcelona. [11] Esther Dyson provided an early-stage angel investment in the company. [12] Tim O'Reilly is also an investor in the company. [13]

Fluidinfo launched in alpha as "FluidDB" on August 17, 2009. [14] Developers can sign-up for access to Fluidinfo via their homepage. This is similar to the types of RESTful API access provided by other cloud services. [15] [16] [17] The company changed the name of the product from "FluidDB" to "Fluidinfo" [18] and won Top Technology Prize at the 2011 LAUNCH Conference. [19] During SXSW 2011, Tim O'Reilly named Fluidinfo as his favorite startup. [20]

See also

Related Research Articles

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Structured Query Language, abbreviated as SQL, is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful in handling structured data, i.e. data incorporating relations among entities and variables.

<span class="mw-page-title-main">Object–relational database</span> Database management system

An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language. In addition, just as with pure relational systems, it supports extension of the data model with custom data types and methods.

<span class="mw-page-title-main">IBM Db2</span> Relational model database server

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A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. A well known example is the Structured Query Language (SQL).

eXist-db is an open source software project for NoSQL databases built on XML technology. It is classified as both a NoSQL document-oriented database system and a native XML database. Unlike most relational database management systems (RDBMS) and NoSQL databases, eXist-db provides XQuery and XSLT as its query and application programming languages.

An XML database is a data persistence software system that allows data to be specified, and sometimes stored, in XML format. This data can be queried, transformed, exported and returned to a calling system. XML databases are a flavor of document-oriented databases which are in turn a category of NoSQL database.

<span class="mw-page-title-main">Apache CouchDB</span> Document-oriented NoSQL database

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<span class="mw-page-title-main">Db4o</span>

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A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph. The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships is fast because they are perpetually stored in the database. Relationships can be intuitively visualized using graph databases, making them useful for heavily inter-connected data.

<span class="mw-page-title-main">Couchbase Server</span> Open-source NoSQL database

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The following is provided as an overview of and topical guide to databases:

<span class="mw-page-title-main">Apache Drill</span> Open-source software framework

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References

  1. "New Approaches to Information Management: Attribute-Centric Data Systems", R. Baeza-Yates, T. Jones, and G. Rawlins. SPIRE 2000 pp. 17-27 Archived 2012-10-03 at the Wayback Machine
  2. Fluidinfo information overview Archived 2012-07-08 at archive.today
  3. "Data Control Made Easy", Jose Garcia. O'Reilly Media. Retrieved on 2010-11-07. Archived 2010-11-24 at the Wayback Machine
  4. "10 Ways Data Is Changing How We Live", Conrad Quilty-Harper. Telegraph.co.uk. Retrieved on 2010-11-08.
  5. Robert Scoble video interview with Terry Jones. Retrieved on 2009-09-18.
  6. Fluidinfo information overview Archived 2012-07-08 at archive.today
  7. "FluidDB review", Peter Wayner. TechWorld.com. Retrieved on 2010-11-04. Archived 2010-12-06 at the Wayback Machine
  8. Fluidinfo query language description
  9. Fluidinfo query language documentation
  10. Slideshare FluidDB presentation, pp. 68-69
  11. "20 Hot NYC Startups You Need To Watch", Nick Saint. Business Insider. Retrieved on 2010-11-07.
  12. "Fluidinfo – a database aiming to socialize information", Marina Zaliznyak. TechCrunch Europe. Retrieved on 2010-11-07.
  13. "Dancing out of time: Thoughts on asynchronous communication", Terry Jones. O'Reilly Media. Retrieved on 2010-11-08.
  14. Fluidinfo blog
  15. "Rackspace Cloud API page. Retrieved on 2010-12-15". Archived from the original on 2010-12-16. Retrieved 2010-12-15.
  16. "Twitter REST API page. Retrieved on 2010-12-15". Archived from the original on 2009-10-07. Retrieved 2010-12-15.
  17. Amazon Simple Storage Service (S3) REST API page. Retrieved on 2010-12-15
  18. Blog post. Retrieved on 2011-02-05.
  19. "LAUNCH 2011 Winner announcement. Retrieved on 2011-03-08". Archived from the original on 2011-03-08. Retrieved 2011-03-08.
  20. Business Insider. Retrieved on 2010-03-14

Further reading