Software Alternatives & Reviews

Streamdata.io VS Confluent

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

Streamdata.io logo Streamdata.io

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Streamdata.io Landing page
    Landing page //
    2023-04-02
  • Confluent Landing page
    Landing page //
    2023-10-22

Streamdata.io 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 Streamdata.io and Confluent)
Stream Processing
12 12%
88% 88
Big Data
13 13%
87% 87
Databases
100 100%
0% 0
Data Management
0 0%
100% 100

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.

Streamdata.io mentions (0)

We have not tracked any mentions of Streamdata.io yet. Tracking of Streamdata.io 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 Streamdata.io and Confluent, you can also consider the following products

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

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.

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

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