Vertica's Blog

Couchbase and HP Haven for Customer Analytics

Customer analytics is vital for just about any industry or market segment. By understanding how your customers behave and interact, you can improve how you learn and act from the dialogue. To fully understand your customers, you need to consider web, finance, CRM, and even geospatial and sentiment data.

Today, HP Software’s Big Data group is excited to announce a partnership with Couchbase to offer more powerful data lifecycle analytics for customer data. Couchbase is a high-performance NoSQL distributed database platform for web-scale applications. By extending Couchbase with HP’s Haven Big Data Platform, this partnership supports one of HP’s key initiatives of empowering the data-driven enterprise.

HP Haven enables you to harness 100% of your human, machine, and business data – whether it’s in your data center or in the cloud – at virtually limitless scale. Powered by HP Vertica and HP IDOL, HP Haven offers an easier and proven method to analyze unstructured data and a massively scalable SQL-based analytical database for structured information.

HP Vertica offers full ANSI SQL, distributed R for predictive analytics, and advanced analytics using custom logic and user-defined extensions. HP IDOL indexes, searches, and analyzes human information at scale and in context. IDOL processes hundreds of file types including tweets, email, audio, images, and streaming video. This partnership enables you to leverage another great data source — dynamic Couchbase data structures. By combining financial, operational and performance data with customer profiles from Couchbase, you can create and deploy analytical apps at huge scale.

Use cases include:

  • Internet of Things – Ingest and manage massive volumes of sensor data from connected cars, smart meters, and all intelligent devices, and apply advanced analytics across mixed workloads for predictive maintenance, consumable resupply, and more.
  • Customer 360 — Aggregate multiple and changing data types from disparate data sources and analyze and visualize the data to understand and prevent customer churn, reduce support calls, and improve brand recognition.
  • Fraud Detection – Meet the real-time scale requirements for financial service organizations with fraud detection and risk analytics in reducing profit loss, minimizing financial exposure, and complying with regulations.

Couchbase and HP Haven scale to handle massive quantities of big data for virtually limitless scale and any source.

Evaluate Couchbase Server today:

Test drive HP Vertica Community Edition, an unlimited, freely available version of HP Vertica for up to 1 TB across 3 nodes:

Check out HP IDOL’s core APIs for developing next-generation applications on-demand:

I Love DIY Projects

I love DIY projects. I love watching the YouTube videos, scouring the web for advice from others, and learning new skills. The innovation and creativity that’s out there is amazing! Plus, DIY projects save money, sometimes a lot of money! This past month, we decided to build our own stone patio in the backyard … how hard could that be? Turns out, lifting 5000+ pounds of rock and stone combined with the challenges of grade and water management is a lot harder than it looks!

patch of dirt

Somehow, this experience led me to think about Open Source Software. Quite a leap, isn’t it? But think about it … the innovation and Read More »

New Release of “DbVisualizer Free for Vertica” Now Available via the HP Haven Marketplace

Version of DbVisualizer Free for Vertica is now available!

Expanding on features normally reserved for the Pro version, DbVis has added the “Connection Keep Alive” feature to DbVisualizer Free for Vertica. The Connection Keep Alive feature issues a simple database “ping” to the database server at a specified interval preventing time-outs and lost connections as a result of being idle in DbVisualizer.

In addition to supporting Vertica Flex Tables, UDFs, and projections, other new features available in version include “Editor Templates” that can be used to easily insert text that you often use in SQL statements, and ”Master Password” that improve the encryption of all your saved passwords.

Version also includes some bug fixes.

To experience Read More »

Whose Side Are You On? Using HP Vertica Pulse with College Basketball

Want to know what people across the nation are saying about your college basketball team? Want to know when and where those opinions change? You can do this and more with HP Vertica Pulse.

Visit our new blog to see how HP data scientist Manolo Garcia-Solaco used HP Vertica Pulse to analyze the sentiment of tweets when the Wisconsin Badgers faced the Duke Blue Devils in the finals of the NCAA basketball championship.

The HP Vertica Community has Moved!

Visit our new community site:

The HP Vertica online community now has a new home. We’ve joined the Big Data and Analytics Community, part of the HP Developer Community, located at

Why are we doing this?

We’ve joined the new community so that you’ll have a centralized place to go for all your big data questions and answers. Using the Big Data and Analytics Community, you can:

Connect with customers across all our Big Data offerings, including HP Vertica Enterprise and Community Editions, HP Vertica OnDemand, HP IDOL , and HP IDOL OnDemand. Learn more about HP Haven, the HP Big Data Platform that allows you to harness 100% of your data, including business, machine, and Read More »

The Top Five Reasons SQL-on-Hadoop Keeps CIOs Awake at Night

The Elephant and the engineer

Being a part of HP is really an amazing thing – it gives us access to amazing technologies and very bright, hard-working people. But the best part is talking with our customers.

One topic on the mind of many technology leaders today is the “elephant in the room” – Hadoop. From its humble beginnings as a low-cost implementation of mass storage and the Map/Reduce programming framework, it’s become something of a movement. Businesses from Manhattan to Mumbai are quickly discovering that it provides favorable economics for one very specific use case – it provides a very low cost way to store data of uncertain value. This use Read More »

Better Together

Assembling puzzles

Just like peanut butter and chocolate, the mix of several flavors of data is much more interesting and useful than just one. At HP we classify types of data into three categories:

Human Data

Human data is stuff created by people as opposed to machines, like social media posts, videos, audio, emails, spreadsheets, blogs, and Wikipedia. This data is hard to analyze, as it is written in natural language and does not conform to a particular structure, and lives in places that are not particularly easy to access Because human data lacks traditional structure, we can’t just pull it straight into an data warehouse (nor should we Read More »

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