Software Alternatives, Accelerators & Startups

Gearpump VS Confluent

Compare Gearpump VS Confluent and see what are their differences

Gearpump logo Gearpump

Apache Gearpump is a real-time big data streaming engine.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Gearpump Landing page
    Landing page //
    2021-09-30
  • Confluent Landing page
    Landing page //
    2023-10-22

Gearpump 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 Gearpump and Confluent)
Big Data
14 14%
86% 86
Stream Processing
8 8%
92% 92
Databases
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

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

Confluent might be a bit more popular than Gearpump. We know about 1 link to it since March 2021 and only 1 link to Gearpump. 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.

Gearpump mentions (1)

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 Gearpump and Confluent, you can also consider the following products

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

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Spark Mail - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

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

Upsolver - Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).