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Microsoft Azure Purview VS Upsolver

Compare Microsoft Azure Purview VS Upsolver and see what are their differences

Microsoft Azure Purview logo Microsoft Azure Purview

Microsoft Azure Purview is a unified data governance solution that provides capabilities that cover the entire lifecycle from ingestion to cleansing, transformation, and security.

Upsolver logo Upsolver

Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).
  • Microsoft Azure Purview Landing page
    Landing page //
    2023-03-12
  • Upsolver Landing page
    Landing page //
    2023-08-06

Microsoft Azure Purview features and specs

  • Comprehensive Data Governance
    Azure Purview provides a unified data governance solution that allows organizations to catalog, manage, and govern their data across various platforms and services.
  • Automation and Scanning
    It offers automated data discovery and classification features, helping organizations continuously scan and categorize their data assets without manual intervention.
  • Integration with Azure Ecosystem
    Azure Purview seamlessly integrates with other Azure services, enabling organizations to extend their data governance across Azure Data Lake, SQL databases, and other Azure resources.
  • Data Lineage Tracking
    The platform provides data lineage capabilities, allowing users to track the flow of data across various processes, which enhances transparency and accountability.
  • Security and Compliance
    Azure Purview helps organizations maintain compliance with industry standards by providing tools for data privacy and security management.

Possible disadvantages of Microsoft Azure Purview

  • Complexity and Learning Curve
    Due to the comprehensive nature of the tool, there can be a significant learning curve and complexity in setting up and utilizing all of its features effectively.
  • Cost Considerations
    As a premium service within the Azure ecosystem, costs can add up quickly, especially for large enterprises with extensive data assets to manage and govern.
  • Limited to Azure-First Approach
    While Azure Purview integrates well with other Azure services, it may not offer the same level of integration and support for multi-cloud environments as seen with some competitor solutions.
  • Dependency on Azure Platform
    Organizations heavily invested in non-Azure ecosystems may find it less beneficial due to its deep dependency on the Azure platform.
  • Customization Limitations
    Users may encounter limitations in customizing certain aspects of the tool to their specific needs, which can impact its utility in specialized use cases.

Upsolver features and specs

  • Ease of Use
    Upsolver provides a user-friendly interface, making it accessible for users with varying levels of technical expertise. It simplifies complex data processing tasks, reducing the need for extensive coding knowledge.
  • Real-time Data Processing
    Upsolver is specifically designed for real-time data ingestion and processing. This capability allows businesses to react quickly to new data and gain timely insights.
  • Integration Capabilities
    Upsolver supports integration with a wide range of data sources and destinations, including AWS services, databases, and data lakes, enhancing its flexibility and utility across various data ecosystems.
  • Scalability
    The platform can scale to handle large volumes of data without significant performance degradation, making it suitable for enterprise-grade applications.
  • Serverless Architecture
    Being serverless, Upsolver eliminates the need for infrastructure management, allowing users to focus more on data processing and analytics rather than on maintenance.

Possible disadvantages of Upsolver

  • Cost
    While Upsolver offers powerful features, they come at a premium price, which might be a concern for small to medium-sized businesses with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there can still be a learning curve for users unfamiliar with data processing principles or the specific paradigms Upsolver employs.
  • Dependency on Cloud Providers
    Upsolver is heavily integrated with cloud services, particularly AWS, which might not be ideal for organizations looking for multi-cloud or on-premises solutions.
  • Limited Customizability
    For very specific or advanced use cases, Upsolver might not offer the level of customizability that a fully hand-coded solution would provide.
  • Support and Documentation
    While Upsolver provides customer support and documentation, some users have reported that the documentation can be insufficient for complex implementations, potentially requiring additional support.

Category Popularity

0-100% (relative to Microsoft Azure Purview and Upsolver)
Business & Commerce
39 39%
61% 61
Office & Productivity
46 46%
54% 54
Online Services
41 41%
59% 59
Security & Privacy
27 27%
73% 73

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft Azure Purview and Upsolver

Microsoft Azure Purview Reviews

We have no reviews of Microsoft Azure Purview yet.
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Upsolver Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.
Source: visual-flow.com

Social recommendations and mentions

Based on our record, Microsoft Azure Purview should be more popular than Upsolver. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Azure Purview mentions (2)

Upsolver mentions (1)

  • Anyone Used Dremio?
    Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: over 3 years ago

What are some alternatives?

When comparing Microsoft Azure Purview and Upsolver, you can also consider the following products

Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

Mozart Data - The easiest way for teams to build a Modern Data Stack

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.