Confluent vs. Dagster

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Dagster
Score 0.0 out of 10
N/A
Dagster is an open source orchestration platform for the development, production, and observation of data assets, supported by Elementl. Dagster Cloud is an enterprise orchestration platform that puts developer experience first, with fully serverless or hybrid deployments, native branching, and out-of-the-box CI/CD.N/A
Pricing
ConfluentDagster
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
No answers on this topic
Offerings
Pricing Offerings
ConfluentDagster
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
ConfluentDagster
Considered Both Products
Confluent
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 …
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 …
Dagster

No answer on this topic

Features
ConfluentDagster
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Confluent
9.1
Ratings
13% above category average
Dagster
-
Ratings
Real-Time Data Analysis10.00 Ratings00 Ratings
Visualization Dashboards8.00 Ratings00 Ratings
Data Ingestion from Multiple Data Sources10.00 Ratings00 Ratings
Low Latency9.00 Ratings00 Ratings
Integrated Development Tools8.00 Ratings00 Ratings
Linear Scale-Out9.00 Ratings00 Ratings
Data Enrichment10.00 Ratings00 Ratings
Best Alternatives
ConfluentDagster
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.2 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ConfluentDagster
Likelihood to Recommend
10.0
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
ConfluentDagster
Likelihood to Recommend
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.
Read full review
No answers on this topic
Pros
  • Products work great.
  • Training is available.
  • Customer support is good.
Read full review
No answers on this topic
Cons
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
Read full review
No answers on this topic
Support Rating
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.
Read full review
No answers on this topic
Alternatives Considered
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.
Read full review
No answers on this topic
Return on Investment
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
Read full review
No answers on this topic
ScreenShots

Dagster Screenshots

Screenshot of an illustration of Dagster's asset-centric approach. Dagster builds data lineage directly into the orchestration process so that users can automatically track and understand complex data flows.Screenshot of The Dagster+ data catalog, which provides a system of record that captures and curates the output metadata of data assets as they are managed by data pipelines, delivering a real-time, actionable view of the data ecosystem.Screenshot of Dagster+ Insights, used to gain visibility into historical usage and cost metrics such as Dagster+ run duration, credit usage, and failures.Screenshot of the interface for monitoring runs across all jobs, in the run timeline view.Screenshot of details of a run.