Apache Spark in Telco
Updated July 22, 2021

Apache Spark in Telco

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Apache Spark

Apache Spark is being widely used within the company. In Advanced Analytics department data engineers and data scientists work closely in machine learning projects to generate value. Spark provides unified big data analytics engine which helps us easily process huge amount of data. We are using Spark in projects like churn prediction, network analytics.
  • Machine learning on big data
  • Stream processing
  • Lakehouse with Delta
  • Indexing
  • Mllib
  • Streaming
  • Mllib
  • Large data processing
  • Performance
  • Time to market
  • Churn reduction
  • Customer satisfaction
Apache Spark has much more better performance and features if we compare with Hive or map/reduce kind of solutions. Spark has many other features for machine learning, streaming.

Do you think Apache Spark delivers good value for the price?

Yes

Are you happy with Apache Spark's feature set?

Yes

Did Apache Spark live up to sales and marketing promises?

Yes

Did implementation of Apache Spark go as expected?

Yes

Would you buy Apache Spark again?

Yes

Amazon EMR (Elastic MapReduce), Apache Kafka, Amazon Elastic Container Service (Amazon ECS)
Apache Spark is very good for prosessing large amount of data but not that good if you need many joins or low latency. With combination of delta engine performance improved alot. Especially having ACID support, time travel features and consistent view for simultaneous read and writes it’s now ready for next level.