Leverage the best of both worlds, with Vertica and Qwak integration!
Vertica’s high-performance analytics and in-database machine learning combined with Qwak’s MLOps capabilities provide a comprehensive solution for organizations seeking to operationalize their machine learning models at scale.
VerticaPy is a Python library that leverages Vertica’s machine learning capabilities.
Qwak, a powerful machine learning engineering platform, enables you to effortlessly manage, deploy, monitor, and optimize the entire machine learning lifecycle in production. Qwak’s automation features handle various recurring actions in the MLOps lifecycle, such as model versioning, continuous integration and deployment, model performance monitoring, and automatic retraining.
Seamlessly connect with Vertica’s scalable architecture to analyze vast datasets and extract valuable insights, while Qwak ensures that your models are continuously monitored and optimized, and deliver maximum value.
Explore the solution guide and watch the video tutorial here:
With over a decade of technical writing experience, I currently author and maintain the Knowledge Base for Big Data Partner Engineering. I have experience authoring software documentation both offline and online including knowledge of various aspects of information development such as web content, blog posts, UI design, and work processes. My main focus is user-centered documentation and I strongly believe in 'right information at the right place'.
Co-authored with Oussama Chakri. Update - The upgraded dbt-vertica adapter is now available! It supports dbt-core version 1.5.0 with Vertica 23.3. We added new features, and the adapter works well with the latest Vertica version. Check it out! Discover the all-new open-source dbt-Vertica adapter, offering cutting-edge features that will transform your data analytics journey. By...
Co-authored with Oussama Chakri. Update - The upgraded DataHub-Vertica Plugin is now available! It is updated with Datahub 0.10.5.4V. You’ll see improved performance while getting metadata into DataHub. Check out the updated plugin! Smoothen your data discovery and metadata management by integrating Vertica with DataHub using the new, certified DataHub-Vertica Plugin. This powerful combination will...
Accelerate your data project pipelines with Saagie using Vertica’s in-database machine learning capabilities. Another ML platform that you can now use with Vertica. A win-win situation! Saagie is a Dataops platform that offers various ready-to-use technologies and advanced pipelines that enable you to manage all your data projects through a single interface. Select the technology...
Announcing an end-to-end solution to monitor your Vertica metrics! This solution provides a detailed overview of the open-source Grafana Data Source Plugin and Vertica Prometheus Exporter. It explains how you can use these plugins individually to track your metrics in Grafana or use them together based on your requirement. This solution covers • Grafana Data...
You may not use more than 1TB (including Parquet and ORC External Tables) and 3 nodes.
You may not use software to provide services to third parties.
You may not distribute, resell, share or sublicense software to third parties.
You may not download and use patches, enhancements, bug fixes, or similar updates unless you have a license to the underlying software. Community Edition license does not give you a right to receive such updates.
You may not copy the Software or make it available on a public or external distributed network.
You may copy the Software for archival purposes or when it is an essential step in authorized use so long as You retain any product identification, trademark, copyright or other notices in the Software.
You may not modify, reverse engineer, disassemble, decrypt, decompile or make derivative works of the Software. If you have a right to do so under law, you must first inform Microfocus in writing about such modifications.
You may not disclose to any third-party performance information or analysis (including, without limitation, benchmarks and performance tests) from any source relating to the Software.
Support is not included. Additional information regarding the software may be available from the Vertica Community at https://forum.vertica.com. Vertica has no obligation to provide You with any bug fixes, upgrades, patches, new versions, new releases, or support.
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What are we collecting? We collect anonymized data including the date and timestamp, number of nodes, data size, storage size, version #, OS and other data. We’re collecting this information to learn how we can make the product better for you in the future.
How is this information stored and processed? We store and process all information on our secure servers. No third-party has access to any of this data.
What about my personal information? We do not track or store any personal data. All data collected is anonymized, including your IP address.