Best Big Data Software for Microsoft Power Query

Strategy ONE is a cutting-edge AI and business intelligence platform that helps businesses unlock the full potential of their data. By leveraging AI-powered workflows and advanced BI tools, Strategy ONE (formerly known as MicroStrategy) simplifies data analysis, enabling faster and more accurate decision-making. The platform integrates with various data sources and offers real-time insights, enhancing both the efficiency and reliability of analytics. Designed to be cloud-native, Strategy ONE allows businesses to scale their operations easily while providing powerful security features. With its conversational AI interface, users can quickly access insights, create dashboards, and automate complex tasks, all with minimal effort.

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

You can query billions upon billions of rows with an in-memory columnar database and MPP architecture. Queries are distributed across all cluster nodes, allowing for linear scaling and advanced analytics. The fastest database for data analytics is made up of MPP, columnar storage, and in-memory. You can analyze data anywhere it is stored, whether you are using SaaS, cloud, hybrid, or on-premises deployments. Automatic query tuning reduces overhead and maintenance. You get more power for a fraction of the normal infrastructure costs with seamless integrations and performance efficiency. This social networking company was able to increase its performance by using smart, in-memory query processing. They processed 10B data sets per year. A single data repository and speed-engine to accelerate critical analytics, improving patient outcomes and the bottom line.

AtScale accelerates and simplifies business intelligence. This results in better business decisions and a faster time to insight. Reduce repetitive data engineering tasks such as maintaining, curating, and delivering data for analysis. To ensure consistent KPI reporting across BI tools, you can define business definitions in one place. You can speed up the time it takes to gain insight from data and also manage cloud compute costs efficiently. No matter where your data is located, you can leverage existing data security policies to perform data analytics. AtScale's Insights models and workbooks allow you to perform Cloud OLAP multidimensional analysis using data sets from multiple providers - without any data prep or engineering. To help you quickly gain insights that you can use to make business decisions, we provide easy-to-use dimensions and measures.

Kyligence Zen can collect, organize, and analyze your metrics, so you can spend more time taking action. Kyligence Zen, the low-code metrics platform, is the best way to define, collect and analyze your business metrics. It allows users to connect their data sources quickly, define their business metrics in minutes, uncover hidden insights, and share these across their organization. Kyligence Enterprise offers a variety of solutions based on public cloud, on-premises, and private cloud. This allows enterprises of all sizes to simplify multidimensional analyses based on massive data sets according to their needs. Kyligence Enterprise based on Apache Kylin provides sub-second standard SQL queries based upon PB-scale datasets. This simplifies multidimensional data analysis for enterprises, allowing them to quickly discover the business value of massive amounts data and make better business decisions.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

Paxata, a visually-dynamic and intuitive solution, allows business analysts to quickly ingest, profile, curate, and curate multiple raw data sets into consumable information in an easy-to-use manner. This greatly accelerates the development of actionable business insight. Paxata empowers business analysts and SMEs. It also offers a rich set automation capabilities and embeddable data preparation capabilities that allow data preparation to be operationalized and delivered as a service in other applications. Paxata's Adaptive Information Platform, (AIP), unifies data integration and data quality. It also offers comprehensive data governance and audit capabilities, as well as self-documenting data lineage. The Paxata Adaptive Information Platform (AIP) uses a native multi-tenant elastic clouds architecture and is currently deployed as an integrated multi-cloud hybrid information fabric.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.