Compare - AWS Kinesis VS Firebolt
Here’s the difference between AWS Kinesis and Firebolt. The comparison is based on pricing, deployment, business model, and other important factors.
About AWS Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
About Firebolt
Firebolt is the world’s fastest cloud data warehouse, purpose-built for delivering a new grade of analytic experiences over big data. It provides tech companies with a modern data stack, an order of magnitude faster query performance at a fraction of the cost of the alternatives by combining the simplicity, elasticity and low cost of the cloud with the latest innovations in analytics. Engineering teams that adopted Firebolt have been able to deploy data applications and interactive analytics over big data in weeks while delivering sub-second performance at terabyte to petabyte scale.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Warehouses |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Contact Sales |
| Location | US | Delaware, US |
| Companies using it | ||
| Contact info |
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