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Status: A stealth-mode project by Unspace (source)
BuzzData, a marketplace for data. Currently under development, they are tackling a huge unsolved problem: helping people find data they need. BuzzData provides tools to collaborate on data in a social manner. They are positioning to be the first destination for people working with data; a commons where datasets of all types can be shared.
From:
http://strataconf.com/strata2011/public/schedule/detail/17593
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Status: Angel funding (source)
DataMarket runs an active marketplace for structured data and statistics: DataMarket.com
Launched in May 2010, DataMarket.com is a data portal that provides access to statistics and structured data from various public and private sector organizations. This makes the data accessible in a single place enabling users to search, visualize and compare data from different data sources. Time series can be linked to news events and any selected data can be downloaded in a format suitable for use elsewhere, e.g. in Excel. Currently, DataMarket only holds data on Iceland, but will expand its coverage early 2011.
From:
http://datamarket.com/p/about/
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Status: $25M in first round of funding, following up on previous $2M from a list of big name investors (source)
Factual is a platform where anyone can share and mash open, living data on any subject. For example, you might find a comprehensive directory of restaurants along with dozens of searchable attributes, 15MM+ US business listings, or a list of every video game and their cheat codes. We provide smart tools to help the community build and maintain a trusted source of structured data.
From:
http://www.factual.com/FAQ
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Status: Acquired by Google in the summer of 2010 after taking in $57M in two rounds of funding (source)
Freebase is an open, Creative Commons licensed collection of structured data, and a platform for accessing and manipulating that data via the Freebase API.
From:
http://wiki.freebase.com/wiki/FAQ
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Status: In Google Labs. Results from Google Public turn up in response to certain types of search queries on Google.com
The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. As the charts and maps animate over time, the changes in the world become easier to understand. You don’t have to be a data expert to navigate between different views, make your own comparisons, and share your findings.”
From:
http://www.google.com/publicdata/home
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Status: $1.6M in total funding, most recently $1.2M in autumn 2010 (source)
Infochimps is a venture-backed Austin startup with the mission to democratize access to structured data. Initially the brainchild of two graduate physics students at the University of Texas, Infochimps is indexing and connecting the world’s data and making it searchable. Our technology allows us to host and distribute that data in a variety of formats, with a focus on making lists, spreadsheets and datasets easy to find and consume.
From:
http://infochimps.com/press
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Status: A stealth mode project by UK’s Talis (source)
It’s an environment that is designed to bring together data publishers and consumers, and provide them with the tools they need to discover, share, remix and use data.
From:
http://tbe.taleo.net/NA9/ats/careers/requisition.jsp?org=TALIS&cws=1&rid=29
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Status: Seed round funding early 2010 after success in 2009′s Seedcamp (source 1, source 2)
We design and build statistical data services to help people and businesses make better decisions. Our services are built around the Timetric Platform, software we’ve developed for publishing, managing, and enabling social analysis and visualization of very large collections of time-series data. Our services include timetric.com, a leading aggregator of public and governmental economic data, and Timetric Portfolios, a simple and social tool for picking and analysing stock portfolios.
From:
http://www.linkedin.com/company/timetric-ltd
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Status: A Microsoft project, launched under the current name in October 2010. Formerly known as Codename “Dallas”. (source)
DataMarket is a service that provides a single consistent marketplace and delivery channel for high quality information as cloud services. Content partners who collect data can publish it on DataMarket to increase its discoverability and achieve global reach with high availability. Data from databases, image files, reports and real-time feeds is provided in a consistent manner through internet standards. Users can easily discover, explore, subscribe and consume data from both trusted public domains and from premium commercial providers.
From:
https://datamarket.azure.com/about
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Don’t forget
Pachube – http://www.pachube.com/
Data Market Place – http://datamarketplace.com/
Fluid DB – http://www.fluidinfo.com/
Turner
December 9, 2010 at 6:54 pm
Thanks Turner,
Take a look at our previous post on the categorization of the Data-as-a-Service field. Pachube is mentioned as a company that doesn’t fit any of the 4 categories, but seeing FluidDB I’m tempted to add a fifth category to hold this kind of services. What should we call them?
Data Marketplace was removed from the list the last time it was updated as it seems to have gone stale. Will happily add it again when we see signs of life.
Hjalmar Gislason
December 11, 2010 at 1:01 pm
Well Pachube calls itself a realtime “data brokerage platform”, though it seems to be aimed mostly at brokering data between physical devices (sensors, environments, machines, etc).
FluidDB appears to be more of a “data store”, a database in which users create the data models.
So I don’t think the two are in the same category. It seems to me FluidDB could probably fit in the same category as Factual and Freebase. Pachube would be in a category that is more about being realtime, write-heavy, scalable data storage solution. What category would those highly-available financial data storage systems be called?
Turner
December 12, 2010 at 2:09 am
Interesting to hear how these services are perceived. In my mind they’re very similar, especially if you listen to presentations from Fluid DB such as this one, where they describe themselves as “a database for the internet of things”.
I agree that current use cases are quite different, where Pachube data is mainly data from all sorts of devices and sensors and Fluid DB’s examples are mostly about Web 2.0 services such as Twitter, but I think the concepts are in fact quite similar.
On Twitter it was suggested that we’d call this type of services “data pooling” services. Still contemplating…
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