Here’s the difference between AWS Kinesis and Nexla. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Nexla is the leader in unified data operations and a 2021 Gartner Cool Vendor. This platform makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, provision, and monitor data for any use case. Data users with varying skill levels work collaboratively to create ready-to-use data products. As a result, organizations get zero-friction, governed, and agile data operations.
Overview | ||
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Categories | Data Streaming | Data Mesh, Reverse ETL Tools |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Contact Sales |
Location | US | San Mateo, California |
Companies using it | ||
Contact info |