Software Alternatives & Reviews

Leo Platform VS Confluent

Compare Leo Platform VS Confluent and see what are their differences

Leo Platform logo Leo Platform

Leo enables teams to innovate faster by providing visibility and control for data streams.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Leo Platform Landing page
    Landing page //
    2021-10-19
  • Confluent Landing page
    Landing page //
    2023-10-22

Leo Platform videos

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Confluent videos

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?😩

Category Popularity

0-100% (relative to Leo Platform and Confluent)
Stream Processing
26 26%
74% 74
Data Management
28 28%
72% 72
Big Data
21 21%
79% 79
Analytics
35 35%
65% 65

User comments

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Social recommendations and mentions

Based on our record, Confluent seems to be more popular. It has been mentiond 1 time 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.

Leo Platform mentions (0)

We have not tracked any mentions of Leo Platform yet. Tracking of Leo Platform recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Leo Platform and Confluent, you can also consider the following products

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

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

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

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