What is Microsoft Fabric?
Integrating all data sources with analytics services into a unified AI-driven platform will revolutionize the way individuals access, manage, and utilize data along with the insights derived from it.
With all your data and teams consolidated in one location, collaboration becomes seamless.
Develop a centralized lake-centric hub that empowers data engineers to link various data sources and curate them effectively. This approach will reduce data sprawl while enabling the creation of tailored views for diverse user needs.
By fostering the advancement of AI models without the need to transfer data, analysis can be accelerated, significantly cutting down the time required for data scientists to produce valuable insights.
Tools like Microsoft Teams, Microsoft Excel, and other Microsoft applications can significantly enhance your team's ability to innovate rapidly.
Facilitate responsible connections between people and data with a flexible, scalable solution that enhances the control of data stewards, bolstered by its inherent security, compliance, and governance features.
This innovative framework encourages collaboration and promotes a culture of data-driven decision-making across the organization.
Pricing
Price Starts At:
$156.334/month/2CU
Price Overview:
Prices vary depending on the geographic region and capacity units.
There are two ways to get started: pay-as-you-go or by reservation.
There are two ways to get started: pay-as-you-go or by reservation.
Free Trial Offered?:
Yes
Integrations
Similar Software to Microsoft Fabric
Google Cloud BigQuery
BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses.
Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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AnalyticsCreator
Enhance your data initiatives with AnalyticsCreator, which simplifies the design, development, and implementation of contemporary data architectures, such as dimensional models, data marts, and data vaults, or blends of various modeling strategies.
Easily connect with top-tier platforms including Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse, among others.
Enjoy a more efficient development process through features like automated documentation, lineage tracking, and adaptive schema evolution, all powered by our advanced metadata engine that facilitates quick prototyping and deployment of analytics and data solutions.
By minimizing tedious manual processes, you can concentrate on deriving insights and achieving business objectives. AnalyticsCreator is designed to accommodate agile methodologies and modern data engineering practices, including continuous integration and continuous delivery (CI/CD).
Allow AnalyticsCreator to manage the intricacies of data modeling and transformation, thus empowering you to fully leverage the capabilities of your data while also enjoying the benefits of increased collaboration and innovation within your team.
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DataBuck
Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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Domo
Domo empowers all users to leverage data effectively, enhancing their contributions to the organization. Built on a robust and secure data infrastructure, our cloud-based platform transforms data into visible and actionable insights through intuitive dashboards and applications. By facilitating the optimization of essential business processes swiftly and efficiently, Domo inspires innovative thinking that drives remarkable business outcomes. With the ability to harness data across various departments, organizations can foster a culture of data-driven decision-making that leads to sustained growth and success.
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Screenshots and Video
Company Facts
Company Name:
Microsoft
Date Founded:
1975
Company Location:
United States
Company Website:
www.microsoft.com/en-us/microsoft-fabric
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
Video Library
Support
24 Hour Support
Web-Based Support
Product Details
Target Company Sizes
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Enterprise
Government
Startup
Supported Languages
Arabic
Bulgarian
Chinese (Mandarin)
Chinese (Simplified)
Croatian
Czech
Danish
Dutch
English
Estonian
Finnish
French
German
Greek
Hebrew
Hungarian
Indonesian
Italian
Japanese
Korean
Latvian
Lithuanian
Norwegian
Polish
Portuguese
Romanian
Russian
Slovak
Slovenian
Spanish
Swedish
Thai
Turkish
Ukrainian
Vietnamese
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