Azure Anomaly Detector vs. IBM Confluent

IBM Confluent

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Azure Anomaly Detector	Score 8.9 out of 10	N/A	Anomaly Detector on Microsoft's Azure is an AI service that helps foresee problems. Users can embed time-series anomaly detection capabilities into apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for the data to support high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. The service can be customized to detect any…	N/A
IBM Confluent	Score 9.1 out of 10	N/A	IBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments.	$385 per month

Pricing

Azure Anomaly Detector

IBM 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
Azure Anomaly Detector	IBM Confluent
Free Trial
Yes	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

Pricing Info

Community Pulse
	Azure Anomaly Detector	IBM Confluent

Best Alternatives
	Azure Anomaly Detector	IBM Confluent
Small Businesses	IBM Streams (discontinued) Score 9.0 out of 10	No answers on this topic
Medium-sized Companies	Tealium Customer Data Hub Score 8.5 out of 10	No answers on this topic
Enterprises	Spotfire Streaming Score 5.0 out of 10	Spotfire Streaming Score 5.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Azure Anomaly Detector	IBM Confluent
Likelihood to Recommend	- (0 ratings)	10.0 (2 ratings)
Support Rating	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	Azure Anomaly Detector	IBM Confluent
Likelihood to Recommend	Microsoft No answers on this topic	IBM If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement. Incentivized Verified User Anonymous Read full review
Pros	Microsoft No answers on this topic	IBM Products work great. Training is available. Customer support is good. Incentivized Verified User Anonymous Read full review
Cons	Microsoft No answers on this topic	IBM Cloud based Azure platform features for Confluent lacks behind AWS And GCP Incentivized Verified User Anonymous Read full review
Support Rating	Microsoft No answers on this topic	IBM 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	Microsoft No answers on this topic	IBM 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	Microsoft No answers on this topic	IBM It enables us to develop event driven application. It increases our ability to handle streaming data. It reduces latency of communication. Incentivized Verified User Anonymous Read full review
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