Apache Spark Competitors and Alternatives

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Read reviews of Apache Spark competitors and alternatives

Bruno_Silva
Senior Principal at Timestamp, SA
Real User
Open source solution that allows you to collect data with ease

What is our primary use case?

The primary use case is to collect data from different source systems. This includes different soft types of files, such as text files, bin files, and CSV files, to name a few. It is also used for API training. It works for a large amount of data. It is oriented for endpoint solutions and high and low frequency in small packets of data, for example, files. It can also work well when integrated with Spark, they are complementary in some use cases. At times we work only with Nifi, at times only with Spark and other times when they are integrated.

Pros and Cons

  • "The most valuable features of this solution are ease of use and implementation."
  • "There should be a better way to integrate a development environment with local tools."

What other advice do I have?

The architect needs to evaluate the entire architecture with this platform so eventually, we are left with our architects and we need to get approval from them to do that. I would rate this solution an eight out of ten.
DulalMali
Big Data Analytics Practice head at BSE
Real User
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.
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