Best DevOps Software for Google Cloud BigQuery

Find and compare the best DevOps software for Google Cloud BigQuery in 2026

Use the comparison tool below to compare the top DevOps software for Google Cloud BigQuery on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
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    New Relic enhances the efficiency of developers, allowing for quicker and more secure deployment of features and updates through sophisticated DevOps solutions designed for enterprises operating on a large scale. By integrating seamlessly with tools like Microsoft GitHub Copilot, New Relic provides comprehensive observability insights, automated processes, and timely alerts right in the platforms your teams are accustomed to. Increase productivity while reducing downtime through more automated and dependable deployments, and utilize closed-loop auto-remediation to address bugs swiftly. Quickly identify and resolve problems, optimize system performance, and maintain software reliability. Boost operational effectiveness and speed up deployment cycles to offer outstanding user experiences with this dependable solution for contemporary DevOps practices.
  • 2
    Stonebranch Reviews
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    Stonebranch’s Universal Automation Center (UAC) is a Hybrid IT automation platform, offering real-time management of tasks and processes within hybrid IT settings, encompassing both on-premises and cloud environments. As a versatile software platform, UAC streamlines and coordinates your IT and business operations, while ensuring the secure administration of file transfers and centralizing IT job scheduling and automation solutions. Powered by event-driven automation technology, UAC empowers you to achieve instantaneous automation throughout your entire hybrid IT landscape. Enjoy real-time hybrid IT automation for diverse environments, including cloud, mainframe, distributed, and hybrid setups. Experience the convenience of Managed File Transfers (MFT) automation, effortlessly managing and orchestrating file transfers between mainframes and systems, seamlessly connecting with AWS or Azure cloud services.
  • 3
    JFrog ML Reviews
    JFrog ML (formerly Qwak) is a comprehensive MLOps platform that provides end-to-end management for building, training, and deploying AI models. The platform supports large-scale AI applications, including LLMs, and offers capabilities like automatic model retraining, real-time performance monitoring, and scalable deployment options. It also provides a centralized feature store for managing the entire feature lifecycle, as well as tools for ingesting, processing, and transforming data from multiple sources. JFrog ML is built to enable fast experimentation, collaboration, and deployment across various AI and ML use cases, making it an ideal platform for organizations looking to streamline their AI workflows.
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    Mindflow Reviews
    Harness the power of hyper-automation on a large scale with user-friendly no-code solutions and AI-crafted workflows. Gain access to an unparalleled integration library that provides every tool you could possibly need. Simply select your desired service from the Integrations library and start automating your processes. You can onboard and establish your initial workflows in just a matter of minutes. If you require assistance, utilize pre-built templates, engage with the AI assistant, or take advantage of the resources available at the Mindflow excellence center. By entering your requirements in straightforward text, you allow Mindflow to handle everything else seamlessly. Generate workflows tailored to fit your technological environment from any given input. With Mindflow, you can create AI-generated workflows designed to tackle any scenario, significantly minimizing the time required for development. This platform revolutionizes enterprise automation by offering an extensive array of integrations. You can effortlessly incorporate any new tool into our system in mere minutes, effectively overcoming the limitations imposed by conventional integration methods. Furthermore, seamlessly connect and orchestrate your entire tech stack, regardless of the tools you choose to utilize, ensuring a more efficient operational flow.
  • 5
    DataKitchen Reviews
    You can regain control over your data pipelines and instantly deliver value without any errors. DataKitchenâ„¢, DataOps platforms automate and coordinate all people, tools and environments within your entire data analytics organization. This includes everything from orchestration, testing and monitoring, development, and deployment. You already have the tools you need. Our platform automates your multi-tool, multienvironment pipelines from data access to value delivery. Add automated tests to every node of your production and development pipelines to catch costly and embarrassing errors before they reach the end user. In minutes, you can create repeatable work environments that allow teams to make changes or experiment without interrupting production. With a click, you can instantly deploy new features to production. Your teams can be freed from the tedious, manual work that hinders innovation.
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