Software Alternatives & Startups
Register | Login

Google Cloud Dataflow VS RisingWave

Compare Google Cloud Dataflow VS RisingWave and see what are their differences

Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
RisingWave

RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.

Rating
0 reviews
Pricing
Open source
Promote on VibeVoted
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

RisingWave might be a bit more popular than Google Cloud Dataflow. We know about 18 links to it since March 2021 and only 14 links to Google Cloud Dataflow.

social mentions
14 vs 18
Big Data popularity
93% vs 7%
alternatives listed
147 vs 21

Base details

Website, pricing, platforms and company facts side by side.

Google Cloud Dataflow
RisingWave
Website cloud.google.com risingwave.com
Pricing —
Open source Official pricing
Listed in
Big Data Data Dashboard Data Warehousing Data Management +1
Databases Stream Processing SQL PostgreSQL As A Service +1

Features and specs

What each product offers, as listed by its team.

Google Cloud Dataflow 8 features
RisingWave 0 features
  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Google Cloud Dataflow
RisingWave

Overall verdict

  • Google Cloud Dataflow is a strong choice for users who need a flexible and scalable data processing solution. It is particularly well-suited for real-time and large-scale data processing tasks. However, the best choice ultimately depends on your specific requirements, including cost considerations, existing infrastructure, and technical skills.

Why this product is good

  • Google Cloud Dataflow is a fully managed service for stream and batch data processing. It is based on the Apache Beam model, allowing for a unified data processing approach. It is highly scalable, offers robust integration with other Google Cloud services, and provides powerful data processing capabilities. Its serverless nature means that users do not have to worry about infrastructure management, and it dynamically allocates resources based on the data processing needs.

Recommended for

  • Organizations that require real-time data processing.
  • Projects involving complex data transformations.
  • Users who already utilize Google Cloud Platform and need seamless integration with other Google services.
  • Developers and data engineers familiar with Apache Beam or those willing to learn.

No analysis of RisingWave yet.

Videos

Walkthroughs and reviews on video.

Google Cloud Dataflow 3 videos + Add
RisingWave 3 videos + Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos

  • - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • - Apache Beam and Google Cloud Dataflow

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

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Google Cloud Dataflow
RisingWave
93% 93%
Big Data
7% 7%
0% 0%
Databases
100% 100%
100% 100%
Data Dashboard
0% 0%
0% 0%
Stream Processing
100% 100%

User comments

Share your experience with using Google Cloud Dataflow and RisingWave. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Google Cloud Dataflow no reviews yet
RisingWave no reviews yet
  • Top 8 Apache Airflow Alternatives in 2024
    blog.skyvia.com · Jul 2023

    Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify...

We have no reviews of RisingWave yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Google Cloud Dataflow 14 mentions
RisingWave 18 mentions
  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if... Source: almost 4 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: about 4 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: about 4 years ago

View more

  • Build a Real-Time Gaming Analytics Pipeline with Just SQL
    Player data is ingested into a Kafka topic, and RisingWave consumes this stream to create materialized views for real-time analysis. Using BI tools like Superset or Grafana, we’ll build dashboards to monitor player performance and power... - Source: dev.to / about 1 year ago
  • The Equality Delete Problem in Apache Iceberg
    RisingWave is the only system today that supports complete, end-to-end architecture for streaming CDC into Apache Iceberg, making it the state-of-the-art solution in this space. - Source: dev.to / about 1 year ago
  • Towards Sub-100ms Latency Stream Processing with an S3-Based Architecture
    RisingWave is a high-performance streaming database built in Rust. It’s PostgreSQL-compatible and lets users write sophisticated stream processing logic using standard SQL - no need to learn a new DSL or framework. - Source: dev.to / over 1 year ago

View more

Alternatives to Google Cloud Dataflow and RisingWave

When comparing Google Cloud Dataflow and RisingWave, you can also consider the following products.

Loading...