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Confluent VS Lenses.io

Compare Confluent VS Lenses.io and see what are their differences

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Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.

Lenses.io logo Lenses.io

Lenses delivers DataOps for any Apache Kafka. With Lenses, engineers are more productive when building streaming applications on Kafka.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Lenses.io Landing page
    Landing page //
    2023-09-01

Lenses.io delivers DataOps for any self-managed or Cloud Apache Kafka including AWS MSK, Azure HDInsight and Confluent Cloud. Lenses provides self-service platform administration, security, governance and monitoring for Kafka.

Lenses makes engineering teams working with Apache Kafka successful by improving productivity and reducing complexity leading up to 95% faster time to market and reduced operational cost. This means faster and more predictable delivery of strategic real-time projects.

Confluent videos

+ Add

1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Lenses.io videos

+ Add

Lenses.io Overview

More videos:

  • Demo - Querying data in Kafka with SQL

Category Popularity

0-100% (relative to Confluent and Lenses.io)

Confluent

Lenses.io

Stream Processing
80 80%
Stream Processing
20% 20
Big Data
79 79%
Big Data
21% 21
Data Management
100 100%
Data Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using Confluent and Lenses.io. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Lenses.io should be more popular than Confluent. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago

Lenses.io mentions (6)

  • Kafka visualization tool
    I liked https://lenses.io/ Lots of capabilities but it's not free as I know. Source: about 1 year ago
  • Couldn't connect to Kafka broker with Kafka UI tools: Lenses and kafka-ui
    Currently I'm using Lenses:https://lenses.io/ as UI tool, but while turning on kafka-start-server server.properties and launch the UI on localhost, it failed to connect:. Source: almost 2 years ago
  • Free tools to connect to multi-broker/SSL-enabled clusters & manage topics?
    Oh thats sad to hear ... lenses.io is so powerful I am not sure how I would have gotten by to this point without it! Source: about 2 years ago
  • Kafka as message broker for new platform?
    In Addition to the more critical replys from others, why Kafka still makes sense imo: - you could organist everything with custom pipeline/services at your scale. The cost of maintaining those and keep the technology up to date is growing exponentially with every new Service. Kafka offers ansinge Plattform with a couple components which need to be kept up to date. - deploying, managing and monitoring those service... Source: over 2 years ago
  • Show HN: UI for Apache Kafka
    Https://lenses.io/ Kafka UI is pretty solid. Nice to see an open source alternative here. - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

When comparing Confluent and Lenses.io, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Calisti - Calisti easily manages multiple clusters with a single service mesh manager, each cluster with a synchronized, separate control pane.

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

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