Spark is an affordable solution, especially considering its open-source nature. However, it could use support from experienced companies to resolve any issues effectively.
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
Spark is an affordable solution, especially considering its open-source nature. However, it could use support from experienced companies to resolve any issues effectively.
Apache Spark Streaming is affordable.
On a scale from one to ten, where one is expensive, or not cost-effective, and ten is cheap, I rate the price a seven.
I was using the open-source community version, which was self-hosted. I'm not familiar with the pricing of the commercial version.
I'm using the open-source version of Spark, so there are no licensing costs.
People pay for Apache Spark Streaming as a service.
The solution is open-source. That's pretty reasonable. It's basically free.
It's less expensive to use the cloud. Using on-premises is more costly. Spark is open-source and doesn't actually cost us anything.