Software Alternatives, Accelerators & Startups
Register | Login

Airbyte VS Google Cloud Dataproc

Compare Airbyte VS Google Cloud Dataproc and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Airbyte logo Airbyte

Replicate data in minutes with prebuilt & custom connectors

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Airbyte Landing page
    Landing page //
    2023-08-23
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Airbyte videos

+ Add

February 2021 - Airbyte Feature Review: Normalization & Nested Tables

More videos:

  • Review - Open Source Airbyte Can Disrupt Fivetran & Stitch Data
  • Review - How Airbyte Raised 26 Million Dollars For Their Data Engineering Start-Up /W The Co-Founders

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

0-100% (relative to Airbyte and Google Cloud Dataproc)

Airbyte

Google Cloud Dataproc

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Airbyte and Google Cloud Dataproc. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Airbyte and Google Cloud Dataproc

Airbyte Reviews

Top 10 Fivetran Alternatives - Listing the best ETL tools
An open-source data integration platform, Airbyte is a popular choice for those building a modern data stack. Airbyte boasts its collection of ELT connectors as well as the ability to build custom ones in the platform, a differentiator from other no-code ELT tools. Because building custom pipelines requires coding knowledge, this special feature will only benefit data...
Source: weld.app
11 Best FREE Open-Source ETL Tools in 2024
Airbyte is one of the Open-Source ETL Tools that was launched in July 2020. It differs from other ETL tools as it provides connectors that are usable out of the box through a UI and API that allows community developers to monitor and maintain the tool.
Source: hevodata.com
Airbyte vs Fivetran vs Estuary
Airbyte also provides a no-code Connector Development Kit which lets users develop custom connectors. This process typically takes two days on most platforms but the kit lets them get started within 30 minutes. Plus, the Airbyte team and community are always available and can help with their maintenance.
Source: estuary.dev
Top 10 Popular Open-Source ETL Tools for 2021
Airbyte is one of the newest Open-Source ETL Tools that was launched in July 2020. It differs from other ETL tools as it provides connectors that are usable out of the box through a UI and API that allows community developers to monitor and maintain the tool.
Source: hevodata.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
As with Fivetran, Airbyte integrates with dbt for transformations, making it an ELT tool. However, contrary to Singer, Airbyte uses one single open-source repo to standardize and consolidate all developments from the community, leading to higher quality connectors. They built a compatibility layer with Singer so that Singer taps can run within Airbyte.
Source: blog.panoply.io

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Airbyte seems to be a lot more popular than Google Cloud Dataproc. While we know about 45 links to Airbyte, we've tracked only 3 mentions of Google Cloud Dataproc. 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.

Airbyte mentions (45)

  • How to Build a Chat App with Your Postgres Data using Agent Cloud
    AgentCloud uses Airbyte to build data pipelines, which allow us to split, chunk, and embed data from over 300 data sources, including Postgres. - Source: dev.to / 30 days ago
  • Launch HN: Bracket (YC W22) – Two-Way Sync Between Salesforce and Postgres
    I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us. It's an immature tool, so I don't yet know that I can claim we've spent _less_ than... - Source: Hacker News / 6 months ago
  • Need help moving 16gb of mongodb data to tableau
    As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script. Source: 11 months ago
  • Connecting data sources to Xata with Airbyte and Zapier integrations
    Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database. - Source: dev.to / 11 months ago
  • Driving Business Success: Unleashing the Power of Data Integration
    In conclusion, data integration is not just a luxury for companies but a necessity for striving toward success in today’s data-driven world. In today’s competitive business environment, those who can effectively integrate and leverage data from different sources will have a strategic advantage over others who don’t. So, as technology continues to advance and data continues to grow exponentially, businesses that... - Source: dev.to / about 1 year ago
View more

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Airbyte and Google Cloud Dataproc, you can also consider the following products

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Meltano - Open source data dashboarding

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Loading...