Yesterday, Gartner published the 2016 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.
Forrester recently released great insights about the state of the Hadoop market. The research study acts as yet another data point for what we have been calling the "no-so-silent data revolution"....
In 2015, AtScale experienced tremendous acceleration and we have welcomed a large number of enterprises onto our platform. Please see more about our "2015 Highlights" summary here.
Additionally, if you are curious to hear about one of these enterprises, tune in for our "Best Practices Session" on March 10 at 10am PST, when Seetha Chakrapany, Macy's Director of Analytics discusses organizations can modernize their Data Architecture for BI on Hadoop. Reserve your spot here today!
We're opening 2016 with great news for anyone who's trying to make BI work on Hadoop! We’ve partnered with Tableau to bring to market an offer that, we believe, will eradicate the issues customers run into when connecting Tableau to Hadoop directly.
2016 is bound to bring a wake-up call to tech industry observers. Many will find out that their favorite “unicorns” were actually “donkeys”, and that forgetting to focus on revenue is a capital sin in the enterprise software world.
One of my favorite business quotes is the one featured in this blog's photo: "The future is here. It's just not evenly distributed yet" (William Gibson).
When I look back at 2015 and the amazing accomplishments of our team and our customers, I can't help to think that, we are building the future here. And while many got access to it in 2015 already, many more will be able to benefit from it very soon.
We've had a great time serving you and the community in 2015:
- Forbes said AtScale existed to "Democratize Hadoop" when we launched. CRN claimed we were "remaking the Hadoop Analytics Arena". And SiliconAngle wrote we were "bringing Hadoop to the masses".
- We've enjoyed numerous accolades this year: we were named "Emerging Vendor You Need to Know", "Coolest Company of 2015" or "Enteprise Startup to bet your career on". Thank You, Thank You, Thank You! This company is the result of a lot of hard work and we wouldn't exist without your support and the encouragement of our investors at Storm, UMC, AME and XSeed, as well as of course, Amr Awadallah (co-founder of Cloudera) and Jerry Yang (co-founder of Yahoo!).
- Our partners have played a key role in our expansion this year as well. We were very pleased with the work we've done with folks like Cloudera, Hortonworks, MapR and Tableau. Particularly when delivering what could have seemed an impossible project: the World's Largest Hadoop maturity survey (get a free copy here).
We can't wait to meet you all at next year's Big Data events such as the Strata Conferences, Gartner BI as well as many of our partners' events and roadshows! If you ever have a question about our direction, please email me directly at email@example.com.
As you consider AtScale, understand what we ARE, and what we are NOT. We are NOT another "Tableau 2.0" company. We are NOT a replacement for your entire BI stack: we are the "Business Interface for Hadoop".
- Not clear about what that means? Simply watch this 2-minute video.
- For a quick answer to what we are NOT, what the below 2-minute interview
Happy Holidays to all and...Analytically Yours!
One of the "buzziest" subjects of conversation in the Big Data scene this past year has been Spark. The powerful open source processing engine developed in 2009 has gotten some great traction and many have covered the stories of community adoption and growth.
As one would expect though, some of the buzz spun out of control, so much, some went on to write that "Hadoop was dead" or that "Spark would eventually replace Hadoop".
Such reports are misinformed, overly sensational and inaccurate. If you have a few minutes, I propose you watch the below 2 minute-video on the key role that Spark plays and its relationship with Hadoop. In this interview, we talk about security, speed and other key items that make Hadoop relevant to business users.
For a deeper understanding on the topic, check out the great piece that our VP of Product Management, Josh Klahr, authored for ReadWrite last week. My favorite passage is below (the full piece is here):
"We need to stop playing Spark and Hadoop off each other and understand how they will coexist. Hadoop will continue to be used as a platform for scale-out data storage, parallel processing, and clustered workload management. Spark will continue to be used for both batch-oriented and interactive scale-out data-processing needs."
Every once in a while, our team gets questions about the validity of Hadoop. Why it exists, why people should consider using it...etc. In the below video, I provide a few examples of use-cases across common industries like Financial Services or Retail that provide a clear answer to this question.
As usual, the video lasts less than 2 minutes so don't expect to have sit through long, hesoteric explanations. We get to the point and very quickly at AtScale!
Years ago, when our CEO's team processed over 30 billion events per day, managed a 200 Hadoop node cluster and tried to build a system that connected Hadoop to 8,000 Business Intelligence users, very few people knew what Hadoop was.
Nowadays, it's virtually impossible to be in a meeting without Hadoop being mentioned. Luckily, our CMO was recently interviewed about Hadoop and provided a concise answer to this question. Watch the below video to find out. It lasts less than 2 mins.
If your team has been trying to connect your Business Intelligence (BI) tools to your Hadoop environment, you are familiar with the typical issues: performance, security and the inability to model the data in a way that business users like to consume it.
This morning, Gartner released their famous "Magic Quadrant for Operational Database Management Systems". You can see more about it directly on the Gartner site here