IBM Confluent vs. Mozart Data
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
IBM Confluent | Score8.6 out of 10 | N/A | IBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments. | $385 per month |
Mozart Data | N/A | N/A | Mozart Data headquartered in San Francisco helps users get the data stack needed to consolidate, organize, and clean data so it’s ready for analysis. With it, users can go from unstructured, siloed, and messy data to analysis-ready with button clicks, SQL, and a few hours. | N/A |
| IBM Confluent | Mozart Data | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Editions & Modules |
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| Offerings |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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). | — | ||||||||||||||
| More Pricing Information | ||||||||||||||||
| IBM Confluent | Mozart Data | |
|---|---|---|
| Considered Both Products | No answer on this topic | No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
94% Would buy again 17 Answers | No answers on this topic | |
| Delivers good value for the price | ||
100% Delivers good value for the price 14 Answers | No answers on this topic | |
| Happy with the feature set | ||
94% Happy with the feature set 17 Answers | No answers on this topic | |
| Lived up to sales and marketing promises | ||
86% Lived up to sales and marketing promises 12 Answers | No answers on this topic | |
| Implementation went as expected | ||
88% Implementation went as expected 15 Answers | No answers on this topic | |
| IBM Confluent | Mozart Data | |
|---|---|---|
| Small Businesses | Amazon SNS Score8.8 out of 10 | No answers on this topic |
| Medium-sized Companies | Amazon SNS Score8.8 out of 10 | Apache Spark Score8.8 out of 10 |
| Enterprises | Google Cloud Pub/Sub Score8.8 out of 10 | Apache Spark Score8.8 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| IBM Confluent | Mozart Data | |
|---|---|---|
| Likelihood to Recommend | 7.6 | - |
| Usability | 7.4 | - |
| Support Rating | 10.0 | - |
| IBM Confluent | Mozart Data | |
|---|---|---|
| Likelihood to Recommend |
| No answers on this topic |
| Pros |
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| Cons |
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| Usability |
| No answers on this topic |
| Support Rating |
| No answers on this topic |
| Alternatives Considered |
| No answers on this topic |
| Return on Investment |
| No answers on this topic |
| ScreenShots |