Software Alternatives, Accelerators & Startups

Arroyo VS Confluent

Compare Arroyo VS Confluent and see what are their differences

Arroyo logo Arroyo

Arroyo is the easiest way to run SQL queries against your real-time data in Kafka.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Arroyo Landing page
    Landing page //
    2023-10-07
  • Confluent Landing page
    Landing page //
    2023-10-22

Arroyo features and specs

No features have been listed yet.

Confluent features and specs

  • Scalability
    Confluent is built on Apache Kafka, which allows for smooth scalability to handle growing data needs without significant performance degradation.
  • Real-Time Data Processing
    Confluent enables real-time streaming data processing, which is beneficial for applications requiring immediate data insights and actions.
  • Comprehensive Ecosystem
    Confluent provides a rich set of tools and connectors that integrate seamlessly with various data sources and sinks, making it easier to build and manage data pipelines.
  • Ease of Use
    Confluent offers an intuitive user interface and comprehensive documentation, which simplifies the setup and management of Kafka clusters.
  • Managed Service Option
    Confluent Cloud provides a fully managed Kafka service, reducing the operational burden on the engineering team and allowing businesses to focus on developing applications.
  • Advanced Security Features
    Confluent offers robust security features including encryption, SSL, ACLs, and more, ensuring that data streams are protected.
  • Strong Customer Support
    Confluent offers professional support and consultancy services which can be very helpful for enterprises requiring 24/7 support and expertise.

Possible disadvantages of Confluent

  • Cost
    Confluent can be expensive, especially for small to medium-sized businesses. The costs can grow significantly with scale and additional enterprise features.
  • Complexity
    Despite its ease of use, the underlying systemโ€™s complexity can pose a challenge, particularly for teams who are new to Kafka or streaming data technologies.
  • Resource Intensive
    Running Confluent on-premises can be resource-intensive, requiring significant computational and storage resources to maintain optimal performance.
  • Learning Curve
    For those unfamiliar with Kafka and streaming technologies, there is a steep learning curve which can lead to longer implementation times.
  • Vendor Lock-In
    Utilizing Confluentโ€™s proprietary tools and connectors can result in vendor lock-in, making it difficult to switch to alternative solutions without considerable effort and reconfiguration.
  • Dependency on Cloud Provider
    If using Confluent Cloud, dependency on the cloud providerโ€™s infrastructure may introduce compliance and control limitations, particularly for businesses with strict data sovereignty requirements.

Arroyo 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 Kafkaยฎ Meetup
  • Review - CLEARER SKIN AFTER 1 USEโ€ผ๏ธ| Ancient Cosmetics Updateโœจ| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?๐Ÿ˜ฉ

Category Popularity

0-100% (relative to Arroyo and Confluent)
Stream Processing
16 16%
84% 84
Analytics
100 100%
0% 0
Big Data
0 0%
100% 100
Application And Data
100 100%
0% 0

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.

Arroyo mentions (0)

We have not tracked any mentions of Arroyo yet. Tracking of Arroyo recommendations started around Apr 2023.

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    Weโ€™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. Weโ€™re going to update our helm chart so that the updates are seamless to Kubernetes and weโ€™re going to leverage our observability stack to propagate the traces in the published messages. Source: over 3 years ago

What are some alternatives?

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

KSQL - Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafkaยฎ.

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

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

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

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

Kafka Streams - Apache Kafka: A Distributed Streaming Platform.