The platform’s most valuable feature for processing real-time data is its ability to handle continuous data streams.
Enterprise Data Architect at a pharma/biotech company with 11-50 employees
Provides real-time data processing capabilities with efficient reliability
Pros and Cons
- "The platform’s most valuable feature for processing real-time data is its ability to handle continuous data streams."
- "Integrating event-level streaming capabilities could be beneficial."
What is most valuable?
What needs improvement?
The product's event handling capabilities, particularly compared to Kaspersky, need improvement. Integrating event-level streaming capabilities could be beneficial. This aligns with the idea of expanding Spark's functionality to cover unaddressed areas, potentially enhancing its competitiveness.
For how long have I used the solution?
We have been using Apache Spark Streaming for five years.
What's my experience with pricing, setup cost, and licensing?
Spark is an affordable solution, especially considering its open-source nature. However, it could use support from experienced companies to resolve any issues effectively.
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What other advice do I have?
Spark does not encounter integration issues, particularly due to its utilization of JDBC connectors. These connectors facilitate seamless integration with third-party solutions. Furthermore, successful integration with tools like SAP HANA indicates its versatility in handling various data sources. Additionally, its performance surpasses Informatica in certain scenarios, especially when real-time streaming capabilities are crucial. It remains a preferred choice for businesses requiring efficient real-time data processing.
I rate it an eight.
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Last updated: May 26, 2024
Flag as inappropriateChief Innovation & Technology Leader at a mining and metals company with 1,001-5,000 employees
Efficient, better then average, but overly developer-focused
Pros and Cons
- "The solution is better than average and some of the valuable features include efficiency and stability."
- "There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
What is our primary use case?
The primary use of the solution is to implement predictive maintenance qualities.
What is most valuable?
The solution is better than average and some of the valuable features include efficiency and stability.
What needs improvement?
There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused. For example, it is still not plug and play and use as some of the cloud offerings that come ready to use. It is not up there in the reading leading edge.
For how long have I used the solution?
I have been using this solution for approximately one and a half year.
What do I think about the stability of the solution?
The solution is very stable.
How was the initial setup?
The initial setup is developer-focused but it is not very complex. I can set up a stream in less than an hour. It will stream but It will not be a production-ready stream.
What other advice do I have?
I rate Apache Spark Streaming a six out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: October 2024
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