Spark SQL Alternatives and Competitors

Get our free report covering Apache, Amazon, Informatica, and other competitors of Spark SQL. Updated: December 2020.
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Read reviews of Spark SQL alternatives and competitors

DulalMali
Big Data Analytics Practice head at BSE
Real User
Top 5Leaderboard
Feb 11, 2020
An excellent solution that continues to mature but needs graphing capabilities

What is our primary use case?

We primarily use the solution as our data warehouse. We use it for data science.

Pros and Cons

  • "Overall the solution is excellent."
  • "The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."

What other advice do I have?

We use both the on-premises and cloud deployment models. We have a relationship with Cloudera and use their distribution channels. We don't have a relationship with Apache. Spark SQL is a good product. However, users need to have the capability of implementing the correct tools and efficiencies. I'd rate the solution seven out of ten.
Srinivasan Sugumar
Analytics and Reporting Manager at a financial services firm with 1,001-5,000 employees
Real User
Top 10
Mar 23, 2020
GUI could be improved. Useful for speedily processing big data.

What is our primary use case?

We do have some use cases, like analysis and risk-based use cases, that we've provided and prepared for companies in order to evaluate, but not many. The business units have so many things that we don't know how to help formulate into another tool and utilize as a use case. They also have so many requirements and costs. I work for a financial institution, so every solution that they need to consider has to be on-premise. I'm actually just evaluating and up scaling my skill sets with this solution right now.

Pros and Cons

  • "The speed of getting data."
  • "Anything to improve the GUI would be helpful."

What other advice do I have?

We will have a lot of big data, which is why we need it. Otherwise, the solution is not needed. The solution really depends on the size of your data, its complexity, and the analysis that you are doing. Spark is good, but it is not mandatory. Since I don't have experience in production with the solution, the best I can rate it now is a five (out of 10).
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