Compare Lumenore vs. Microsoft Fabric

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs. Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding. Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow. Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives. By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits. Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in. Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic. With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users. Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support. Discover the future of customer analytics at kubit.ai

LeanData’s no-code Go-to-Market Execution platform helps leading B2B companies drive smarter decisions and stronger revenue outcomes. By unifying data, tools, and teams, LeanData empowers organizations like Nvidia, Cisco, and Palo Alto Networks to streamline operations, accelerate pipeline, and improve customer engagement from first signal to closed-won.

Project Insight is a project and portfolio management software for growing companies. It centralizes project data from across expanding teams and multiplying software systems to streamline workflows, automate processes, and help you make confident, data-driven decisions about your business. Project Insight also empowers you to manage work at the project, program, and portfolio levels–simultaneously. Identify priorities and keep work aligned with strategic objectives. Track cross-level progress, resources, budgets, and risks & take immediate action from a centralized hub that automatically notifies teams of adjustments. Integrate & sync project data between the software tools you are already using like Azure DevOps, Jira, Microsoft Project, and ServiceNow. Optimize cross-team workflows, reduce double-entry, and get a clear picture of capacity, progress, budgets, and risks across your organization.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Triple Whale consolidates all metrics from all your tools and puts them in your pocket. We simplify, inform, and save you time. We integrate eCommerce and marketing data from all your favorite apps so you don't have to switch between tabs and apps. All your data can be tracked, tested, and interpreted. Data backing your decisions makes it easier to make informed decisions. AI is being developed to reduce errors and improve your operations across all your tools. You can quickly gain insight into what is working and what isn't, so that you can strategize, optimize, and maximize growth. Get to know all about your customers' spending habits. Forecast and track your most important D2C metrics. You can send daily, weekly, or monthly reports to everyone in the company. You can choose from a template or create your own metrics. Wondering how a 0.5% increase in your conversion rate could affect your profit? Our calculator uses your data for real insight. You can adjust your dashboard to make it work for you and your team.

Offer website live chat support from the collaboration tools you already use: Microsoft Teams, Google Workspace, Slack, and Zoom. Build ChatGPT powered AI Chatbots in 1-Click and enable your chatbots when your agents are unavailable. Create WhatsApp, SMS, and Messenger chatbots with the ability to escalate to humans when it makes sense. No need to learn additional software to support customers. Engage potential customers when they need your help, close more deals, and increase online revenue.

D&B Hoovers can help you create a more profitable relationship from prospect to client faster. Find key prospects and growth opportunities. D&B Hoovers, a sales acceleration solution, provides a faster path to prospect to profitable relationship through the use of data and analytics. B2B sales professionals can connect with customers faster to grow their businesses. Access detailed intelligence on over 120 million business records. Provide insight and intelligence into the tools that your marketers and sellers use every day. A user-friendly interface and automated workflow features, including triggers, alerts and smart lists, as well as intuitive search and conceptual search. D&B Hoovers combines Dun & Bradstreet's largest commercial database with sophisticated analytics to provide a rich sales intelligence solution. D&B Hoovers provides dynamic search and list-building capabilities as well as realtime trigger alerts, detailed company profiles and valuable research reports.