Apache Spark Streaming

Apache Spark Streaming

Score 8.3 out of 10
Apache Spark Streaming

Overview

What is Apache Spark Streaming?

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.
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Pricing

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What is Apache Spark Streaming?

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.

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  • No setup fee

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  • Free/Freemium Version
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Product Details

What is Apache Spark Streaming?

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.

Apache Spark Streaming Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Reviews and Ratings

 (7)

Reviews

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Score 9 out of 10
Vetted Review
Verified User
Apache Spark Streaming is a great tool and is being utilized in our company to do batch processing which is its specialization. It is user-friendly. Using it we can even process our massive data at a very fast speed and it uses complicated algorithms. It has enabled us in saving time.
  • It is amazing in solving complicated transformative logic.
  • It is straightforward to program.
  • It is a very quick tool.
  • It processes large data within a fraction of seconds.
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.
Streaming Analytics (9)
84.44444444444444%
8.4
Real-Time Data Analysis
80%
8.0
Visualization Dashboards
90%
9.0
Data Ingestion from Multiple Data Sources
90%
9.0
Low Latency
80%
8.0
Integrated Development Tools
80%
8.0
Data wrangling and preparation
80%
8.0
Linear Scale-Out
80%
8.0
Machine Learning Automation
90%
9.0
Data Enrichment
90%
9.0
  • Cost and time-effective tool for our business.
  • We can integrate with Jupyter with many conveniences.
  • Its high-speed data processing has proved beneficial for us.
Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .
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