G2 Vendor Directory

Spark Streaming vs. Lenses

A side-by-side comparison based on G2 review data.

MetricSpark Streaming

by The Apache Software Foundation

Lenses

by Lenses.io Ltd

Overall rating4.24.2
Review count4017
Ease of use8.49.5
Ease of setup7.97.9
Quality of support8.87.8
Meets requirements9.18.5
NPS39.47368447.058824
Small Business30.8%12.5%
Mid-Market43.6%37.5%
Enterprise25.6%50.0%
Total page views74194
Total LLM citations66361

Spark Streaming

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

Pros

    Lenses

    Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka

    Pros

    • Ease of Use
    • User Interface
    • Features
    • Intuitive
    • Simple
    • UX Design