I’ve blogged separately that:
- Vertica has a bunch of customers, including seven with 1 or more petabytes of data each.
- Vertica has progressed down the analytic platform path, with Monday’s release of Vertica 5.0.
And of course you know:
- Vertica (the product) is columnar, MPP, and fast.*
- Vertica (the company) was recently acquired by HP.**
*Similar things seem true of ParAccel, but most of the other serious columnar analytic DBMS aren’t actually MPP (Massively Parallel Processing) yet. More precisely, they have shared-everything architectures, especially on the storage level.
** Vertica says it has a “staggering” pipeline now that it’s been with HP for a few months. I also gather that the post-merger HP/Vertica appliance product line formally rolled out last week.
As for product maturity:
- Vertica 4.0 cleaned up a lot of stuff.
- Vertica 5.0 goes further in a variety of areas, notably clustering administration and database tuning/design.
But here’s something I hadn’t fully realized — Vertica claims concurrent usage as a competitive strength. By this I mean:
- Vertica says that it has some customers with 1000s of users, in BI/dashboarding kinds of applications.
- Vertica asserts it can support 1000 users on a single appliance rack.
- Vertica tries to drive POCs (Proofs Of Concept) towards testing concurrency.
This is all consistent with a user example I blogged about last year.
That said, while Vertica introduced respectable workload management features in Vertica 4.0, its main claim to concurrency is simply speed — if each query ends quickly, you never have to execute all that many of them at once.
Anyhow, there will (or at least should be) articles written about Vertica 5.0, and I may not be that easy to find for comment, what with Enzee Universe and all. So here are a few Vertica soundbites:
- Having seven petabyte-level commercial users is an impressive testament to Vertica’s scalability. I think only Teradata could best that number among analytic DBMS, unless you want to count Hadoop/Hive.
- Vertica’s analytic platform capabilities are new, and initially not as rich as Aster Data’s or Netezza’s, especially in the area of language support. But they’re a good first step.
- Judging by the examples of EMC/Greenplum and IBM/Netezza, Vertica’s honeymoon period at HP is likely to last for a while. (Edit: That said, not all is peachy at EMC/Greenplum.)