Apache Spark Review

It's enabled interactive self-service access to data​.

What is most valuable?

There are several valuable features.

  • Interactive data access (low latency)
  • Batch ETL-style processing
  • Schema-free data models
  • Algorithms

How has it helped my organization?

We have 1000x improvement in performance over other techniques. It's enabled interactive self-service access to data.

What needs improvement?

Better integration of BI tools wold be a much appreciated improvement.

For how long have I used the solution?

I've used it for about 14 months.

What was my experience with deployment of the solution?

I haven't had any issues with deployment.

What do I think about the stability of the solution?

It's been stable for us.

What do I think about the scalability of the solution?

It's scaled without issue.

How are customer service and technical support?

Customer Service:

Customer service is excellent.

Technical Support:

Technical support is excellent.

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

Yes, we previously used Oracle, from which we ported our data.

How was the initial setup?

The initial setup was simple.

What about the implementation team?

We implemented it with our in-house team.

What other advice do I have?

Be sure to Uuse the Apache versions and avoid vendor-specific extensions.

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
More Apache Spark reviews from users
...who work at a Financial Services Firm
...who compared it with Amazon EMR
Learn what your peers think about Apache Spark. Get advice and tips from experienced pros sharing their opinions. Updated: January 2021.
454,950 professionals have used our research since 2012.
Add a Comment