Best Data Engineering Tools for Microsoft Excel

Domo has become a part of Progress Software, integrating its AI and data platform into Progress' suite of offerings. This cloud-native AI data readiness platform not only enhances but also expands Progress' existing data solutions, fostering significant synergies that facilitate the development of innovative, secure, and scalable AI data readiness solutions on a global scale. These combined strengths will assist clients in transforming fragmented enterprise data and insights into governed, AI-ready intelligence, thus elevating the security, governance, and cost-effectiveness of AI-driven projects. Positioned as the agentic platform for the intelligent enterprise, Domo empowers organizations to connect, govern, activate, and disseminate both data and AI effectively. Collaborating with cloud data platforms such as Snowflake, BigQuery, and Databricks, Domo enables the conversion of governed data into various AI agents, applications, workflows, dashboards, and analytics. Additionally, its robust data foundation, activation, and distribution layers empower teams to create and implement intelligence precisely where their work occurs, all while ensuring governance, security, and access controls are firmly in place across both data and AI initiatives. This comprehensive approach not only streamlines operations but also enhances the overall effectiveness of data-driven decision-making within organizations.

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.