Watch the webinar: Ingesting varied and distributed configuration metadata
More details
Blog index
Example H2
Example H3
Example H4
Example H5
Example H6
Related content:
Process sensor data at scale with Quix and Google BigQuery
Google BigQuery sink
Company
Apr 7, 2025

Quix Achieves Google Cloud Ready - BigQuery Designation

Quix has proven that we have met a core set of functional and interoperability requirements when integrating with BigQuery.

Steve Rosam
Steve Rosam
Head of Content
Google Cloud Ready - BigQuery and Quix logos
Back
Example H2
Example H3
Example H4
Example H5
Example H6
Related content:
Process sensor data at scale with Quix and Google BigQuery
Google BigQuery sink

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Data integration, simplified

Ingest, pre-process and load high volumes of data into any database, lake or warehouse, without overloading your systems or budgets.

Explore the platformBook a demo

The 4 Pillars of a Successful AI Strategy

Foundational strategies that leading companies use to overcome common obstacles and achieve sustained AI success.
Get the guide

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects.
Get the guide
Quix is a performant, general-purpose processing framework for streaming data. Build real-time AI applications and analytics systems in fewer lines of code using DataFrames with stateful operators and run it anywhere Python is installed.
Book a demo with one of our experts

Google Cloud Ready - BigQuery Designation  

The Google Cloud Ready - BigQuery designation recognizes partner solutions that meet requirements designed to ensure the optimum integration between the partner product and BigQuery, Google Cloud’s united data platform.  As part of this initiative, Google Cloud engineering teams validate partner integrations into BigQuery in a three-phase process, run a series of data integration tests, compare results against benchmarks and work closely with partners to fill any gaps and refine documentation for mutual customers.  

By earning this designation, Quix has proven that we have met a core set of functional and interoperability requirements when integrating with BigQuery. This designation enables customers to discover and have confidence that Quix will work well with BigQuery or will save time on evaluating Quix, if not already using it. By being part of the program, Quix will get more opportunities to collaborate closely with Google Cloud partner engineering and BigQuery teams to develop roadmaps.

Quix provides a unified platform for real-time data processing and industrial data integration. Our solution enables businesses to collect, process, and analyze high-frequency data from various sources, including industrial sensors, legacy systems, and modern cloud infrastructure. 

With a focus on manufacturing and energy sectors, we help companies make data-driven decisions in real-time.

Our platform is designed for the modern industrial landscape, where real-time insights can mean the difference between optimal performance and costly downtime. We combine the power of BigQuery with our industrial expertise to deliver solutions that drive measurable business outcomes.

Learn more about Quix and our Google Cloud integration.

Learn more about Google Cloud Ready - BigQuery and its benefits.

Share this article:
Steve Rosam
Words by
Steve Rosam
Head of Content

Steve Rosam is the Head of Content at Quix, where he oversees the creation and maintenance of content for publication both in-house and externally. With a background in software development spanning two decades, Steve has experience in a variety of industries including automotive, finance, media, and security. His technical expertise now fuels his leadership in content strategy and development at Quix.

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects
Get the guide

Check out the repo

Our Python client library is open source, and brings DataFrames and the Python ecosystem to stream processing.

Star us on GitHub

Interested in Quix Cloud?

Take a look around and explore the features of our platform.

Explore platform

Interested in Quix Cloud?

Take a look around and explore the features of our platform.

See product features

Data integration, simplified

Ingest, pre-process and load high volumes of data into any database, lake or warehouse, without overloading your systems or budgets.

Explore the platformBook a demo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

The 4 Pillars of a Successful AI Strategy

Foundational strategies that leading companies use to overcome common obstacles and achieve sustained AI success.
Get the guide

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects.
Get the guide

Related articles

View all
A woman a computer analyzing data
Company
Jul 11, 2025

Deep vs wide data: choosing the right schema for R&D engineering workflows

Building data pipelines for R&D requires making important architectural decisions before committing engineering resources. What factors affect those decisions?
Steve Rosam
Steve Rosam
Head of Content
Google Cloud Ready - BigQuery and Quix logos
Company
Apr 7, 2025

Quix Achieves Google Cloud Ready - BigQuery Designation

Quix has proven that we have met a core set of functional and interoperability requirements when integrating with BigQuery.
Steve Rosam
Steve Rosam
Head of Content
Graphic showing Quix Streams windowing code
Company
Apr 9, 2024

Introducing Streaming DataFrames

Learn how Streaming DataFrames can simplify real-time data processing in Python with a familiar DataFrame approach.
Tomáš Neubauer
Tomáš Neubauer
CTO & Co-Founder
View all