Apache Spark Streaming vs. Confluent

Confluent

Overview
Product	Rating	Most Used By	Product Summary	Starting 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 Streaming

Confluent

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 Streaming	Confluent
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

—

Confluent 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 Streaming	Confluent
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 … Incentivized Helpful?	Confluent Verified User Anonymous Chose Confluent 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 … Incentivized Helpful? Verified User Anonymous Chose Confluent We chose to use the Confluent Platform because they provide enterprise-grade customer service support. Whenever we have trouble setting up or using the service, we can create a ticket for them and it will be resolved pretty fast. Kafka is the open-source software that comes … Incentivized Helpful?

Features

Apache Spark Streaming

Confluent

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 Analysis	8.00 Ratings	10.00 Ratings
Visualization Dashboards	9.00 Ratings	8.00 Ratings
Data Ingestion from Multiple Data Sources	9.00 Ratings	10.00 Ratings
Low Latency	8.00 Ratings	9.00 Ratings
Integrated Development Tools	8.00 Ratings	8.00 Ratings
Data wrangling and preparation	8.00 Ratings	00 Ratings
Linear Scale-Out	8.00 Ratings	9.00 Ratings
Machine Learning Automation	9.00 Ratings	00 Ratings
Data Enrichment	9.00 Ratings	10.00 Ratings

Best Alternatives
	Apache Spark Streaming	Confluent
Small Businesses	IBM Streams (discontinued) Score 9.0 out of 10	IBM Streams (discontinued) Score 9.0 out of 10
Medium-sized Companies	Confluent Score 9.9 out of 10	Tealium Customer Data Hub Score 8.2 out of 10
Enterprises	Spotfire Streaming Score 6.6 out of 10	Spotfire Streaming Score 6.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Spark Streaming	Confluent
Likelihood to Recommend	9.0 (0 ratings)	10.0 (0 ratings)
Support Rating	- (0 ratings)	10.0 (0 ratings)

User Testimonials
	Apache Spark Streaming	Confluent
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. Incentivized CR Christa Raine Business Manager Read full review	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. Incentivized Verified User Anonymous Read full review
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. Incentivized CR Christa Raine Business Manager Read full review	Products work great. Training is available. Customer support is good. Incentivized Verified User Anonymous Read full review
Cons	There must be more documentation. It is a profoundly complex tool. Its in-memory processing consumes massive memory. Incentivized CR Christa Raine Business Manager Read full review	Cloud based Azure platform features for Confluent lacks behind AWS And GCP Incentivized Verified User Anonymous Read full review
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. Incentivized Verified User Anonymous Read full review
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 . Incentivized CR Christa Raine Business Manager Read full review	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. Incentivized Verified User Anonymous Read full review
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. Incentivized CR Christa Raine Business Manager Read full review	Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally. Incentivized Verified User Anonymous Read full review
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