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Redpanda VS Amazon Kinesis

Compare Redpanda VS Amazon Kinesis and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Redpanda logo Redpanda

Redpanda is a powerful, yet simple, and cost-efficient streaming data platform that is compatible with Kafka® APIs while eliminating Kafka complexity.

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

Redpanda videos

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Amazon Kinesis videos

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AWS Big Data - Amazon Kinesis Analytics Introduction and Demonstration

More videos:

  • Review - Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion

Category Popularity

0-100% (relative to Redpanda and Amazon Kinesis)

Redpanda

Amazon Kinesis

Developer Tools
100 100%
Developer Tools
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Queueing, Messaging And Background Processing
100 100%
Queueing, Messaging And Background Processing
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Redpanda and Amazon Kinesis

Redpanda Reviews

Best message queue for cloud-native apps
Redpanda message queue allows multiple producers to write messages to a single topic, and multiple consumers to read messages from that topic in parallel. Messages can be buffered in memory for fast delivery and persist to disk for durability. Redpanda also provides a number of features, such as replication, partitioning, and compression, to help manage large amounts of data.
Source: docs.vanus.ai

Amazon Kinesis Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Amazon Kinesis was built to handle massive amounts of data, allowing it to be uploaded to a Redshift cluster. After the event stream is read and the data is transformed, it is placed into a table in Amazon SCTS in an Amazon ES domain. Thus, there is no need to use a server (instead, you need to integrate AWS ETL and AWS Lambda).
Source: visual-flow.com
6 Best Kafka Alternatives: 2022’s Must-know List
Kinesis enables streaming applications to be managed without additional infrastructure management. This highly scalable platform can process data from various sources with low latency. Known for its speed, ease of use, reliability, and capability of cross-platform replication, Amazon Kinesis is one of the most popular Kafka Alternatives. It is used for many purposes,...
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon Kinesis, also known as Kinesis Streams, is a popular alternative to Kafka, for collecting, processing, and analyzing video and data streams in real-time. It offers timely and insightful information, streaming data in a cost-effective manner with complete flexibility and scalability. It is easy to ingest data encompassing audios, videos, app logs, etc. It offers an...
Source: www.spec-india.com
16 Top Big Data Analytics Tools You Should Know About
Amazon Kinesis is a massively scalable, cloud-based analytics service which is designed for real-time applications.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Amazon Kinesis seems to be a lot more popular than Redpanda. While we know about 23 links to Amazon Kinesis, we've tracked only 1 mention of Redpanda. 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.

Redpanda mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago

Amazon Kinesis mentions (23)

  • Event-Driven Architecture on AWS
    Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 2 months ago
  • AWS DEV OPS Professional Exam short notes
    When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / 3 months ago
  • Querying microservices in real-time with materialized views
    RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
  • How Streaming database differs from a Traditional database?
    For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
  • Query Real Time Data in Kafka Using SQL
    RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Redpanda and Amazon Kinesis, you can also consider the following products

Apache Pulsar - Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.

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

NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Memphis - Highly scalable, and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming applications fast.

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