Datazip vs. IBM Confluent
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Datazip | N/A | Mid-Size Companies (51-1,000 employees) | Datazip is a self-serve, no-code data engineering platform for analytics team in their own cloud. With Datazip, product/data analysts and managers can: No code Data Ingestion with 150+ sources Managed Data Warehouse with open APIs Visualisation by charts, dashboards, query capabilities It aims to help users achieve this without assistance from big data engineering teams. Datazip also offers multiple advanced features like embedded analytics, role based… | $0 per month |
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. | $385 per month |
| Datazip | IBM Confluent | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | Usage based pricing | Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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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| Datazip | IBM Confluent | |
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| Considered Both Products | No answer on this topic | No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
No answers on this topic | 94% Would buy again 17 Answers | |
| Delivers good value for the price | ||
No answers on this topic | 100% Delivers good value for the price 14 Answers | |
| Happy with the feature set | ||
No answers on this topic | 94% Happy with the feature set 17 Answers | |
| Lived up to sales and marketing promises | ||
No answers on this topic | 86% Lived up to sales and marketing promises 12 Answers | |
| Implementation went as expected | ||
No answers on this topic | 88% Implementation went as expected 15 Answers | |
| Datazip | IBM Confluent | |
|---|---|---|
| Small Businesses | No answers on this topic | Amazon SNS Score8.8 out of 10 |
| Medium-sized Companies | Apache Spark Score8.8 out of 10 | Amazon SNS Score8.8 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 |
| Datazip | IBM Confluent | |
|---|---|---|
| Likelihood to Recommend | - | 7.6 |
| Usability | - | 7.4 |
| Support Rating | - | 10.0 |
| Datazip | IBM Confluent | |
|---|---|---|
| Likelihood to Recommend | No answers on this topic |
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| Pros | No answers on this topic |
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| Cons | No answers on this topic |
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| Usability | No answers on this topic |
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| Support Rating | No answers on this topic |
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| Alternatives Considered | No answers on this topic |
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| Return on Investment | No answers on this topic |
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| ScreenShots | Datazip Screenshots |





