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Redpanda VS RisingWave

Compare Redpanda VS RisingWave and see what are their differences

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.

RisingWave logo RisingWave

RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
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  • RisingWave Landing page
    Landing page //
    2023-08-29

Redpanda videos

No Redpanda videos yet. You could help us improve this page by suggesting one.

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RisingWave videos

RisingWave: Reinventing(?!) Stream Processing in the Cloud Era (Yingjun Wu)

More videos:

  • Review - Building Cost Effective Stream Processing Applications with RisingWave and Pulsar
  • Review - RISINGWAVE REBOOT

Category Popularity

0-100% (relative to Redpanda and RisingWave)
Developer Tools
100 100%
0% 0
Databases
0 0%
100% 100
Queueing, Messaging And Background Processing
Stream Processing
0 0%
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 RisingWave

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

RisingWave Reviews

We have no reviews of RisingWave yet.
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Social recommendations and mentions

Based on our record, RisingWave should be more popular than Redpanda. It has been mentiond 2 times 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.

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 / 3 months ago

RisingWave mentions (2)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 3 months ago
  • Real-Time Data Enrichment and Analytics With RisingWave and ClickHouse
    RisingWave is an open-source distributed SQL database for stream processing. It is designed to reduce the complexity and cost of building real-time applications. RisingWave offers users a PostgreSQL-like experience specifically tailored for distributed stream processing. - Source: dev.to / 5 months ago

What are some alternatives?

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

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

Materialize - A Streaming Database for Real-Time Applications

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

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

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.