
Amazon Kinesis
PieSync
Azure Databricks
Spark Streaming
Apache Kudu
MyAnalytics
Apache Flink
Confluent offers a real-time data platform built around Apache Kafka.

GitWrapped
JANDI
GitHub Contributions
GitHub Metrics
Superpowered
GitHub Personal Website Generator
GitHub
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Which is more popular?
Based on our record, Confluent seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | confluent.io | github.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
1. Intro | Monitoring Kafka in Confluent Control Center
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Confluent and Contributions for GitHub. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Data-platform backbone, EOS pipelines, ecosystem gravity: Apache Kafka — 4.5/5. 4× JetStream's throughput ceiling, the only native exactly-once story, and Connect/ksqlDB/Flink integration nobody matches. Pay the partition tax... - Source: dev.to / 9 days ago
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... Source: over 4 years ago
Tracking Contributions for GitHub since Mar 2021.
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Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
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All your GitHub contributions in one image
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