Vertica Review

Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution.

What is most valuable?

Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution. Also, Vertica scales up quickly and maintains good performance.

How has it helped my organization?

Performance management of high-traffic sites - Vertica's ease of scaling has been invaluable for one of our main customers.

What needs improvement?

I'm concerned that HP Enterprise has sold their software business, and worry about future investment to enhance predictive/machine-learning capabilities.

For how long have I used the solution?

3 years.

What do I think about the stability of the solution?

Not really.... Vertica shines on stability.

What do I think about the scalability of the solution?

No, scalability is also a strength of the solution.

How are customer service and technical support?

9 out of 10. HPE has some excellent engineers who are eager to help us make Vertica work well.

Which solution did I use previously and why did I switch?

I've been a 'full stack' data expert for years, started on Oracle and SQL Server, moved to Hadoop, Mongo, etc, but Vertica was the right fit for large enterprises with high performance demands and ease of scalability.

How was the initial setup?

Initial setup is a bit clunky, like most complex, tunable products can be.

What's my experience with pricing, setup cost, and licensing?

Negotiate when their fiscal year is about to close :)

What other advice do I have?

It's a solid product that keeps its promises. I do worry about HP Enterprise's sale of Vertica to Micro-Focus

Rating: 8/10 - it works very well, but some customers worry about 'Vendor lock-in'.

**Disclosure: My company has a business relationship with this vendor other than being a customer: We are a Certified Vertica/IDOL (HAVEN) Big Data partner with HP Enterprise.
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