Microsoft Fabric Description
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.
Microsoft Fabric Alternatives
DataBuck
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.
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AnalyticsCreator
Accelerate your data journey with AnalyticsCreator. Automate the design, development, and deployment of modern data architectures, including dimensional models, data marts, and data vaults or a combination of modeling techniques.
Seamlessly integrate with leading platforms like Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse and more.
Experience streamlined development with automated documentation, lineage tracking, and schema evolution. Our intelligent metadata engine empowers rapid prototyping and deployment of analytics and data solutions.
Reduce time-consuming manual tasks, allowing you to focus on data-driven insights and business outcomes. AnalyticsCreator supports agile methodologies and modern data engineering workflows, including CI/CD.
Let AnalyticsCreator handle the complexities of data modeling and transformation, enabling you to unlock the full potential of your data
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Google Cloud BigQuery
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.
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Qrvey
Qrvey is the only solution for embedded analytics with a built-in data lake.
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house.
Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience.
Qrvey's solution offers:
- Built-in data lake powered by Elasticsearch
- A unified data pipeline to ingest and analyze any type of data
- The most embedded components - all JS, no iFrames
- Fully personalizable to offer personalized experiences to users
With Qrvey, you can build less software and deliver more value.
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Pricing
Pricing Starts At:
$156.334/month/2CU
Pricing Information:
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:
Yes
Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
www.microsoft.com/en-us/microsoft-fabric
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Live Rep (24/7)
Online Support
Microsoft Fabric Features and Options
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