Massive data processing is no more big deal with Apache Spark.
July 14, 2021
Massive data processing is no more big deal with Apache Spark.
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Apache Spark Streaming
Apache Spark Streaming is a great tool and is being utilized in our company to do batch processing which is its specialization. It is user-friendly. Using it we can even process our massive data at a very fast speed and it uses complicated algorithms. It has enabled us in saving time.
- It is amazing in solving complicated transformative logic.
- It is straightforward to program.
- It is a very quick tool.
- It processes large data within a fraction of seconds.
- There must be more documentation.
- It is a profoundly complex tool.
- Its in-memory processing consumes massive memory.
- Cost and time-effective tool for our business.
- We can integrate with Jupyter with many conveniences.
- Its high-speed data processing has proved beneficial for us.
Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .
Do you think Apache Spark Streaming delivers good value for the price?
Yes
Are you happy with Apache Spark Streaming's feature set?
Yes
Did Apache Spark Streaming live up to sales and marketing promises?
Yes
Did implementation of Apache Spark Streaming go as expected?
Yes
Would you buy Apache Spark Streaming again?
Yes