Best Big Data Platforms for Microsoft Power BI

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Gigasheet applies AI to healthcare price transparency data to deliver market intelligence for providers, payers, and consultants. The platform structures Transparency in Coverage datasets at scale and analyzes them to benchmark reimbursement rates, identify outliers, and surface opportunities for savings or growth. Organizations can integrate their own claims, contract, or network data within a high-scale spreadsheet-style interface to create a complete view of market dynamics. Gigasheet’s AI agent produces consultant-grade reports, dashboards, and executive summaries, allowing teams to improve contracting and strategy decisions without relying on complex technical workflows.

Inzata Analytics is an AI-powered, end to end data analytics software solution. Inzata transforms your raw data into actionable insights using a single platform. Inzata Analytics makes it easy to build your entire data warehouse in a matter of minutes. Inzata's over 700 data connectors make data integration easy and quick. Our patented aggregation engine guarantees pre-blended, blended, and organized data models within seconds. Inzata's latest tool, InFlow, allows you to create automated data pipeline workflows that allow for real-time data analysis updates. Finally, use 100% customizable interactive dashboards to display your business data. Inzata gives you the power of real-time analysis to boost your business' agility and responsiveness.

Utilize Azure Resource Manager to quickly establish and deploy an Azure Analysis Services instance, allowing for the swift transfer of your existing models to take full advantage of the cloud's scalability, flexibility, and management features. You can easily scale up, scale down, or temporarily suspend the service, ensuring you only pay for what you actually utilize. Integrate data from diverse sources into a cohesive and reliable BI semantic model that is user-friendly and straightforward. By simplifying the representation of data and its foundational structure, you empower business users with self-service capabilities and facilitate data exploration. This approach significantly accelerates the time-to-insight for large and intricate datasets, ensuring that your BI solutions are responsive and aligned with the demands of your organization. Additionally, leverage DirectQuery to connect with real-time operational data, enabling you to monitor your business dynamics closely. Finally, enhance your data visualization experience by employing your preferred data visualization tools, making insights more accessible and actionable. This comprehensive solution not only enhances data usability but also drives better decision-making within the organization.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

Trino is a remarkably fast query engine designed to operate at exceptional speeds. It serves as a high-performance, distributed SQL query engine tailored for big data analytics, enabling users to delve into their vast data environments. Constructed for optimal efficiency, Trino excels in low-latency analytics and is extensively utilized by some of the largest enterprises globally to perform queries on exabyte-scale data lakes and enormous data warehouses. It accommodates a variety of scenarios, including interactive ad-hoc analytics, extensive batch queries spanning several hours, and high-throughput applications that require rapid sub-second query responses. Trino adheres to ANSI SQL standards, making it compatible with popular business intelligence tools like R, Tableau, Power BI, and Superset. Moreover, it allows direct querying of data from various sources such as Hadoop, S3, Cassandra, and MySQL, eliminating the need for cumbersome, time-consuming, and error-prone data copying processes. This capability empowers users to access and analyze data from multiple systems seamlessly within a single query. Such versatility makes Trino a powerful asset in today's data-driven landscape.

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.

Tugger swiftly and securely pulls your data out of your business systems and into data analytics and visualisation tools such as Power BI and Tableau. This enables you to produce state of the art interactive reports. Once your data has been copied across, Tugger also gets you set up with key business reports for a complete end-to-end solution. This saves you masses of time. Tugger is a no code solution that makes your life easier by removing the need for any manual API integrations and reduces the risk of skewed data. No technical knowledge is required and all users get access to Tugger's excellent support team. Tugger provides data connectors for HubSpot, Harvest, Microsoft Teams, JIRA, GitHub, simPRO and more.

Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.

Adverity is the fully-integrated data platform for automating the connectivity, transformation, governance and utilization of data at scale. Adverity is the simplest way to get your data how you want it, where you want it, and when you need it. The platform enables businesses to blend disparate datasets such as sales, finance, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and powerful data governance features, Adverity is the easiest way to get your data how you want it, where you want it, and when you need it.

Embrace a groundbreaking age of analytics through the Alteryx AI Platform. Equip your organization with streamlined data preparation, analytics powered by artificial intelligence, and accessible machine learning, all while ensuring governance and security are built in. This marks the dawn of a new era for data-driven decision-making accessible to every user and team at all levels. Enhance your teams' capabilities with a straightforward, user-friendly interface that enables everyone to develop analytical solutions that boost productivity, efficiency, and profitability. Foster a robust analytics culture by utilizing a comprehensive cloud analytics platform that allows you to convert data into meaningful insights via self-service data preparation, machine learning, and AI-generated findings. Minimize risks and safeguard your data with cutting-edge security protocols and certifications. Additionally, seamlessly connect to your data and applications through open API standards, facilitating a more integrated and efficient analytical environment. By adopting these innovations, your organization can thrive in an increasingly data-centric world.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Vertica is a high-performance enterprise analytics and data warehousing platform that enables organizations to process large-scale data workloads, advanced analytics, and AI applications across cloud, on-premises, and hybrid infrastructures. Acquired by Rocket Software, Vertica expands Rocket’s modernization portfolio by adding enterprise-grade analytics and artificial intelligence capabilities to mission-critical systems modernization. The platform is designed to help enterprises unlock the value of their data through fast query performance, scalable analytics, and AI-driven insights that support modern business operations and digital transformation initiatives. Vertica supports flexible deployment models including private cloud, public cloud, managed services, and on-premises environments, allowing organizations to modernize data infrastructure without being restricted to a single deployment strategy. The platform enables businesses to run advanced analytics and generative AI directly against trusted enterprise data while maintaining stability, governance, and operational performance. Vertica also complements Rocket Software’s DataEdge and ContentEdge solutions by creating a unified ecosystem for enterprise data integration, modernization, governance, and analytics. Organizations use Vertica to accelerate reporting, improve operational intelligence, optimize enterprise workloads, and drive faster data-driven decision-making across large-scale business environments. The platform is designed for enterprises that require scalable analytics, hybrid cloud flexibility, and AI-ready infrastructure for mission-critical systems modernization.

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

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.