Software Alternatives, Accelerators & Startups

Materialize VS RisingWave

Compare Materialize VS RisingWave and see what are their differences

Materialize logo Materialize

A Streaming Database for Real-Time Applications

RisingWave logo RisingWave

RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
  • Materialize Landing page
    Landing page //
    2023-08-27
  • RisingWave Landing page
    Landing page //
    2023-08-29

Materialize videos

Bootstrap Vs. Materialize - Which One Should You Choose?

More videos:

  • Review - Materialize Review | Does it compete with Substance Painter?
  • Review - Why We Don't Need Bootstrap, Tailwind or Materialize

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 Materialize and RisingWave)
Databases
82 82%
18% 18
Database Tools
100 100%
0% 0
Stream Processing
60 60%
40% 40
Big Data
100 100%
0% 0

User comments

Share your experience with using Materialize and RisingWave. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Materialize seems to be a lot more popular than RisingWave. While we know about 65 links to Materialize, we've tracked only 2 mentions of RisingWave. 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.

Materialize mentions (65)

  • 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 / 4 months ago
  • We Built a Streaming SQL Engine
    Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 8 months ago
  • Ask HN: Who is hiring? (October 2023)
    Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 9 months ago
  • Ask HN: Who is hiring? (June 2023)
    Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (April 2023)
    Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago
View more

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 / 4 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 / 6 months ago

What are some alternatives?

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

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

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

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

Slicing Pie - Perfect equity splits for Bootstrapped Startups

ShaderMap - Create Rendering and PBR Maps in Seconds!

DuckDB - DuckDB is an in-process SQL OLAP database management system