Apache Spark Streaming vs. Confluent

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
Confluent
Score 9.9 out of 10
N/A
Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.
$0
Pricing
Apache Spark StreamingConfluent
Editions & Modules
No answers on this topic
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
Offerings
Pricing Offerings
Apache Spark StreamingConfluent
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).
More Pricing Information
Community Pulse
Apache Spark StreamingConfluent
Features
Apache Spark StreamingConfluent
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
Ratings
5% above category average
Confluent
9.1
Ratings
13% above category average
Real-Time Data Analysis8.00 Ratings10.00 Ratings
Visualization Dashboards9.00 Ratings8.00 Ratings
Data Ingestion from Multiple Data Sources9.00 Ratings10.00 Ratings
Low Latency8.00 Ratings9.00 Ratings
Integrated Development Tools8.00 Ratings8.00 Ratings
Data wrangling and preparation8.00 Ratings00 Ratings
Linear Scale-Out8.00 Ratings9.00 Ratings
Machine Learning Automation9.00 Ratings00 Ratings
Data Enrichment9.00 Ratings10.00 Ratings
Best Alternatives
Apache Spark StreamingConfluent
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.9 out of 10
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Spark StreamingConfluent
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Apache Spark StreamingConfluent
Likelihood to Recommend
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.
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If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
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Pros
  • 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.
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  • Products work great.
  • Training is available.
  • Customer support is good.
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Cons
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
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  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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Support Rating
No answers on this topic
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
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Alternatives Considered
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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For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
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Return on Investment
  • 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.
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  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
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ScreenShots