Last week I sat down with Steven Schneider from Logi Analytics to discuss their integration with the new Haven OnDemand.
HP: What is new with the Haven OnDemand integration with Logi Analytics?
Logi Analytics: So, with IDOL and its new web-services oriented architecture as well as Vertica and its natural SQL layer, you can use Logi’s direct-connect model to not only query and access features, but also integrate that data with other sources.
For example, with Logi you can query your data using Vertica, return the data to IDOL, and execute an operation such as Natural language translation ECT… Then, take the result, and create a visualization. It’s really neat because now you can provide a unified visualization tier on top of both Vertica and IDOL, allowing people to interact with them in a business use-case type environment.
That’s really cool, especially because getting Vertica and IDOl data to work with one another is so incredibly powerful.
Logi Analytics: And that’s kind of unique to us which is why I get excited about it, you know? There are a lot of software BI tools that can talk to SQL and there are some application web environments that can talk to web services. However, to do both of those together and pull them into one unified interface, (and by unified I’m not just talking about two panels, but actually taking the results of one and feeding it into another) enables you to discover completely unique metrics. It’s pretty cool. Check out this video to see a great example of how you can use Logi to come up with a metric to predict churn based on data contained in both IDOL and Vertica independently. It’s pretty interesting and unique.
HP: How does Logi take advantage of Vertica and IDOL specifically?
Logi Analytics: We wanted to let Vertica do what it’s designed to do. Not only does Logi treat it Vertica as a data source, but when the end user wants to do an aggregation or any kind of operation, it’s actually passing those operations back to Vertica. Other BI solutions will say “sure we work with Vertica”, but they’re actually just pulling the data from Vertica and putting it into their own repository to work with it there. That kind of defeats the purpose of Vertica’s speed and high performance analytics doesn’t it? you can’t actually execute a sequence of commands with IDOL or Vertica, you can only load from them initially. From then on, you’re forced to execute commands locally. It’s pretty limiting.
HP: With these new services (IDOL OnDemand, Vertica OnDemand) being available to a wider audience than ever before, what kind of new customers are you looking forward to working with?
Logi Analytics: So there are two kind of avenues. First, there are startups and SMBs in the software industry that want to embed IDOL and/ or Vertica as part of the apps they’re creating. They are trying to get the apps to market quickly and provide proof concepts. That’s a big market for us as we have over 600 OEM partners. These companies may not have had the resources to connect with HP Vertica or Idol in the past, but HAVEn makes it more accessible.
Then there are medium sized companies that maybe aren’t enterprise-sized in their infrastructure, but are still quite complex and have a lot of data they can use – for instance, healthcare and insurance companies.
Regardless of any company’s size Haven makes it easy to create proof concepts and stand up apps without going through the classic corporate IT infrastructure deployment process. In development you don’t need that. They can stand up and they can develop, concurrently with the corporate IT process instead of sequentially.
HP: What’s the coolest use case you’ve encountered with Logi and Haven?
Logi Analytics: I would say Glassbeam, a machine data analytics company, is an interesting one. There’s a great video online that breaks it down. Glassbeam collects unstructured data from machines and converts into structured data based on its own proprietary language, giving customers insight into the performance of their products. They use Logi as their analytics platform and Vertica as their database, allowing them to pass back aggregation and filters to Vertica taking advantage of that deep integration we discussed earlier. Since their implementation, Glassbeam has been able to scale a lot faster.
HP: What are you most excited about for the future of Logi and Vertica?
Logi Analytics: We would love to extend our relationship with Haven OnDemand beyond Logi Info to Logi Vision, our visual analytics slice-and-dice product for business users. We’d also love to expand our role to facilitating the acquisition of data from places like Social media, and analyze it from there, opening up our joint use case to many more organizations.