John O'Brien CTO, Samantha Stone Vice President of Marketing and Lis
Strenger Director of Product Marketing are here in Boulder meeting with
the
Brain Trust. We have met with
Dataupia in the past so its great to
get an update on direction and strategy for the coming year.
Growth is the theme of the year for Dataupia, employee count has risen significantly including strategic positions that include VP,Sales and VP, Client Delivery they have added IBM/Cognos and Tableau as partners and made solid progress on the OEM channel. Their customer base is evolving with implementation spanning the 4 TB to 150 TB range. They have just announced their first retail based client.
A value point of the
Dataupia Satori solution is its mixed workload offerings specific to the data warehousing area, they are doing parameterized reporting, business metrics interactive aggregations ad hoc queries and historical trend analysis. The great part of their approach is it isn't a rip and replace model they have the ability to augment or supercharge your existing infrastructure helping you cope with scalability needs as well as new business demands on your system.
It's interesting as the data warehouse appliance space evolves the value proposition from the vendors changes as well. So its important to point out that Dataupia also brings significant cost savings to the problem. Several years ago the price side was all the appliance vendors were showcasing often times based on dollar per terabyte cost. Now mixed workloads, green IT, flexibility and implementation cycle are features that companies like Dataupia bring to their clients. Its clear that you can no longer judge appliance based solutions just by how fast they can grind out a query. The upside of this approach is that more people within the enterprise will see benefit from an appliance based solution than just the folks who are hitting the box with queries.
Its great to see the space evolve this way and Dataupia sees the value in delivering greater depth of value to its clients than just cost per terabyte.
Tags:
Dataupia,
data warehouse appliance,