Best IT Management Software for dbt

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.

Universal Automation Center (UAC) is a real-time IT automation platform designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud. Universal Automation Center (UAC) is a software platform designed to automate and orchestrate your IT and business processes, securely manage file transfers, and centralize the management of disparate IT job scheduling and workload automation solutions. With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. Real-time hybrid IT automation and managed file transfers (MFT) for any type of cloud, mainframe, distributed or hybrid environment. Start automating, managing and orchestrating file transfers from mainframe or disparate systems to the AWS or Azure cloud and vice versa with no ramp-up time or cost-intensive hardware investments.

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

Capture metadata from your data warehouse and tools that connect to it. Track the workloads you care about, and retroactively understand user engagement, cost, and performance of data products. Complete visibility into your data platform, who is touching your data, and how it’s being used. In these interviews, we’re sharing how data teams build and deliver data products at their company. We also cover tech stacks, best practices and other lessons learned. intermix.io gives you end-to-end visibility with an easy-to-use SaaS dashboard. Collaborate with your entire team, create custom reports, and get everything you need to understand what’s going on in your data platform, across your cloud data warehouse and the tools that connect to it. intermix.io is a SaaS product that collects metadata from your data warehouse with absolutely zero coding required. We never need access to data you've copied into your data warehouse.

Paradime is an AI-powered analytics platform designed to enhance data operations by accelerating dbt pipelines, reducing data warehouse costs by over 20%, and boosting analytics ROI. Its smart IDE streamlines dbt development, potentially saving up to 83% of coding time, while the CI/CD features expedite pipeline delivery, reducing the need for additional platform engineers. The Radar component optimizes data operations, providing automatic cost savings and efficiency improvements. Paradime integrates seamlessly with various applications, offering over 50 integrations to support comprehensive analytics workflows. It is enterprise-ready, providing secure, flexible, and scalable solutions for large-scale data operations. GDPR and CCPA compliant, with appropriate technical and organizational measures in place to protect your information. Weekly vulnerability testing and yearly penetration testing to ensure infrastructure systems are always up to date.