Cribl Stream vs. IBM Confluent
| Product | Rating | Most Used By | Product Summary | Starting Price |
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Cribl Stream | Score9 out of 10 | N/A | Cribl Stream is a vendor-agnostic observability pipeline used to collect, reduce, enrich, normalize, and route data from any source to any destination within an existing data infrastructure. It is used to achieve full control of an organization's data stream. | N/A |
IBM Confluent | Score9.1 out of 10 | N/A | IBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments. | $385 per month |
| Cribl Stream | IBM Confluent | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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). | ||||||||||||||
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| Small Businesses | No answers on this topic | Amazon SNS Score8.7 out of 10 |
| Medium-sized Companies | Apache Spark Score8.8 out of 10 | Amazon SNS Score8.7 out of 10 |
| Enterprises | Apache Spark Score8.8 out of 10 | Google Cloud Pub/Sub Score8.8 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Cribl Stream | IBM Confluent | |
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| Likelihood to Recommend | 10.0 | 10.0 |
| Support Rating | - | 10.0 |
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