The Social Coding Environment for Big Data Analytics & Visualization

Interactive, web-based environment to explore data on an interactive command line, including visualization and interactive graphics.

Code is available on GitHub –

collaborators and contributors welcome!

Social coding integrated development environment (IDE): search, run, comment, fork, modify and share code and analyses – deployed as web services, web pages or dashboards.

Accessible from any connected device or computer anywhere, scalable power of distributed computing.

Features & Benefits

Collaboration

RCloud is a social coding environment, designed to jumpstart your work. With RCloud you can rate and share code with other developers. You can form social circles around specific topic areas, and search for similar, relevant work, so you don’t have to recreate the wheel. Using RCloud to collaborate with other developers, you can dynamically manage content and link together various elements of an analysis.

Deployment as Web service

RCloud is readily accessible through a standard web browser. It uses web-based notebooks to document and provide data analysis. This means you can access the RCloud environment, notebooks, results, and visualizations from anywhere.

Work from anywhere

You can access RCloud from anywhere and any connected device. You might close an RCloud notebook at work and then open it again at home. Developers collaborating together can open the same notebook to see what each other is doing and insert a new step or modify an existing one.

Scalability

RCloud gives you super fast interactions with data in Hadoop Distributed File Systems (HDFS) or other systems. This is possible because we built in a chunk-wise compute + combine paradigm via customized functions for fast Input/Output (I/O).

Distributed computing

RCloud uses both parallel and distributed processing to handle the high throughput computing and data management needs required for the immense data sets that are now commonly available in big data problems.

Versioning/forking

We built RCloud with collaboration and transparency in mind. The documentation processes for RCloud’s web-based notebooks make it easy for developers to create a new version or fork existing code. You can see what packages and code, data sources and servers were used each step along the way – along with more detailed text and comments where needed. If you want to reuse an RCloud notebook, you can simply swap in different data sources, change the packages or code, or specify a different server.

Multiple languages

RCloud currently supports R and Python programming languages.

Integration of analysis language with UI

Both data scientists and business executives can use RCloud. We keep the interaction with the distributed computing system in the background, so the user does not need to write complex map/reduce code directly. Analyses can also be delivered via web services to allow for use and interaction with non-technical colleagues. This makes it easy to analyze and share results with anyone from business executives to project managers to fellow data scientists.

Text and logo above: © Copyright 2016 RCloud. Reprinted with permission.

Hosted RCloud

Get RCloud as software as a service (SaaS) from b-data and take advantage of reduced time to benefit, low maintenance cost, easy scalability and painless updates.

Costs (excl. VAT)

Try

free
free
  • VPS: shared

  • CPU: 2 cores
    RAM: 4 GB
    SSD: 32 GB

  • OS: Debian testing

  • Updates: monthly

  • Backups: none

  • no own EE*

  • no SFTP

  • HTTPS

User

CHF 99per month
  • VPS: shared

  • CPU: 4 cores
    RAM: 16 GB
    SSD: 64 GB

  • OS: Debian testing

  • Updates: monthly

  • Backups: weekly

  • own EE*

  • SFTP

  • HTTPS

Corporate S

CHF 599per month
  • VPS: dedicated

  • CPU: 4 cores
    RAM: 16 GB
    SSD: 64 GB

  • OS: Debian / CentOS

  • Updates: biweekly
    (2 hours/month)

  • Backups: daily

  • own EE*

    /
  • SFTP

    /
  • HTTPS

Corporate M

CHF 999per month
  • VPS: dedicated

  • CPU: 8 cores
    RAM: 32 GB
    SSD: 128 GB

  • OS: Debian / CentOS

  • Updates: biweekly
    (2 hours/month)

  • Backups: daily

  • own EE*

    /
  • SFTP

    /
  • HTTPS

Corporate L

CHF 1599per month
  • VPS: dedicated

  • CPU: 16 cores
    RAM: 64 GB
    SSD: 256 GB

  • OS: Debian / CentOS

  • Updates: biweekly
    (2 hours/month)

  • Backups: daily

  • own EE*

    /
  • SFTP

    /
  • HTTPS

Corporate XL

CHF 3499per month
  • VPS: dedicated

  • CPU: 40 cores
    RAM: 160 GB
    SSD: 640 GB

  • OS: Debian / CentOS

  • Updates: biweekly
    (2 hours/month)

  • Backups: daily

  • own EE*

    /
  • SFTP

    /
  • HTTPS

*own EE = own Execution Environment: R sessions run under your own user.

Discounts (upfront payment)

Try

User

30%3 years
30%3 years
  • 20 %


    1 year

Corporate S

30%3 years
30%3 years
  • 20 %


    1 year

Corporate M

40%3 years
40%3 years
  • 30 %


    1 year

Corporate L

45%3 years
45%3 years
  • 30 %


    1 year

Corporate XL

50%3 year
50%3 year
  • 30 %


    1 year

Internal RCloud

We are happy to assist you in setting up an RCloud, which runs in your company’s network (Intranet). RCloud is compatible with Red Hat Enterprise Linux (RHEL) and GitHub Enterprise, thus meeting highest IT security guidelines.

Costs (excl. VAT)

We offer this service at a rate of CHF 160 per hour. Please contact us to carry out a requirements analysis in order to create an offer.