Chief Data-strategist and Director at Theworkshop.es
Real User
Top 10
2024-01-25T11:39:24Z
Jan 25, 2024
Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.
Chief Technology Officer at Teslon Technologies Pvt Ltd
Real User
Top 20
2023-06-08T10:44:00Z
Jun 8, 2023
Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple.
Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services.
Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.
Apache Spark Streaming has features like checkpointing and Streaming API that are useful.
Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple.
It's the fastest solution on the market with low latency data on data transformations.
Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services.
As an open-source solution, using it is basically free.
The solution is very stable and reliable.
The solution is better than average and some of the valuable features include efficiency and stability.