Overall Satisfaction with Hadoop
It's used organization-wide for older data that's not used as frequently. We use Teradata to warehouse our more recent data, but for data we don't access as often, it's migrated to Hadoop. It addresses the problem of securely storing data without paying the fortune that most warehouses charge for premium cloud storage.
- Accessible
- Inexpensive
- User friendly
- Much slower than more premium platforms
- Doesn't connect with other data warehouses
- Not mainstream -- somewhat more, "hacky" of a solution
- It's half the price of our more premium data storage, so we've saved 50% on costs there.
- Figure it's about half as fast, so it takes 2x as long for queries to execute.
- We utilize Hadoop cloud storage, so we've been able to reduce onsite maintenance costs.
- Teradata Data Warehouse Appliance, Teradata Database, Amazon Web Services and Google Cloud Datastore
Hadoop utilizes a SQL structure, which is great. You pay less for the services, but it's definitely less of an enterprise-level option and more just a good place to store your seldom-used data. Teradata and AWS are a lot faster in returning queries than Hadoop, but you pay more, of course.
Do you think Apache Hadoop delivers good value for the price?
Yes
Are you happy with Apache Hadoop's feature set?
Yes
Did Apache Hadoop live up to sales and marketing promises?
Yes
Did implementation of Apache Hadoop go as expected?
I wasn't involved with the implementation phase
Would you buy Apache Hadoop again?
Yes