Data Engineer III at a tech consulting company with 10,001+ employees
Real User
Top 5
Aug 18, 2025
Apache Spark Streaming is completely open source, and you don't need any fees. Running on the managed clusters using DataProc, we leverage Google's best practices for cluster management, scaling, and autoscaling. Cost depends on Google's feature set, although, on-premises, monitoring would be necessary for optimizing resource use.
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 completely open source, and you don't need any fees. Running on the managed clusters using DataProc, we leverage Google's best practices for cluster management, scaling, and autoscaling. Cost depends on Google's feature set, although, on-premises, monitoring would be necessary for optimizing resource use.
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.