TrustRadius

Apache Spark Streaming

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Spark Streaming
Score 8.7 out of 10
N/A
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.N/A
Pricing
Apache Spark Streaming
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Apache Spark Streaming
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
Apache Spark Streaming
Considered Both Products
Apache Spark Streaming
CR
Christa Raine
Business Manager
Chose Apache Spark Streaming
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 …
Features
Apache Spark Streaming
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
1 Ratings
5% above category average
Real-Time Data Analysis8.01 Ratings
Visualization Dashboards9.01 Ratings
Data Ingestion from Multiple Data Sources9.01 Ratings
Low Latency8.01 Ratings
Integrated Development Tools8.01 Ratings
Data wrangling and preparation8.01 Ratings
Linear Scale-Out8.01 Ratings
Machine Learning Automation9.01 Ratings
Data Enrichment9.01 Ratings
Best Alternatives
Apache Spark Streaming
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.3 out of 10
All AlternativesView all alternatives
User Ratings
Apache Spark Streaming
Likelihood to Recommend
9.0
(1 ratings)
User Testimonials
Apache Spark Streaming
Likelihood to Recommend
Apache
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.
CR
Christa Raine
Business Manager
Read full review
Pros
Apache
  • 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.
CR
Christa Raine
Business Manager
Read full review
Cons
Apache
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
CR
Christa Raine
Business Manager
Read full review
Alternatives Considered
Apache
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 .
CR
Christa Raine
Business Manager
Read full review
Return on Investment
Apache
  • 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.
CR
Christa Raine
Business Manager
Read full review
ScreenShots