Azure Data Catalog

Azure Data Catalog

Customer Verified
Score 8.6 out of 10
Azure Data Catalog

Overview

What is Azure Data Catalog?

Microsoft's Azure Data Catalog is an enterprise-wide metadata catalog designed to make data asset discovery straightforward, a fully-managed service that lets analysts. data scientists, and developers to register, enrich, discover, understand, and consume data sources.
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Product Details

What is Azure Data Catalog?

Microsoft's Azure Data Catalog is an enterprise-wide metadata catalog designed to make data asset discovery straightforward, a fully-managed service that lets analysts. data scientists, and developers to register, enrich, discover, understand, and consume data sources.

Azure Data Catalog Technical Details

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Reviews and Ratings

 (35)

Reviews

(1-13 of 13)
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Sumon K Chowdhury | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Azure Data Catalog simplifies data analysis and provides insights. We use it for data transformation, bulk uploads, ETL tasks, and normalization. It's a cloud service that works with cloud and on-premises data sources, providing a hybrid solution. It helps us improve our search and discovery services and move up in the rankings. Azure Data Catalog allows us to create secure data analytic stores, run machine learning on our data, and easily adapt to schema changes. The tool allows us to tag and add descriptions, which enriches the data set. It's a reliable data-security management system.
  • It's easy to use and implement.
  • Ownership of the data.
  • It's helpful for all businesses.
  • Policy on data preservation.
  • It can utilize various data sources.
  • Data management is secure and simple.
  • Cloud service has long upload times.
  • High-stability connections are needed.
  • Unable to export or import some formats.
Azure Data Catalog has helped our data governance and BI efforts. It's an enterprise-level data dictionary that grows with our data ecosystem. We build cloud-native apps with data management tools. And we get insights quickly and with less overhead, and the drag-and-drop interface is one of the best parts of it. Drag-and-drop is easy so that we can deliver quickly. Visual effects make it more flexible. One thing to note is that working on it requires some skill to maintain the integrity of all the components. Another improvement would be lowering the licensing cost.
Robbie Scott | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Azure data catalog is used by our teams to help with categorizing metadata whilst occupying less Azure storage space. It offers a cloud-based service where data is entered and indexed, making it easy to find each data source. We use it to quickly find the correct data that we need, whether it's for application testing or any task via search.
  • Discovering data is fast.
  • building cloud native solutions.
  • Automatic scanning of azure data sources.
  • Integration with the existing environment.
  • Maintenance and creation of documentation for data sources takes a lot of time
  • One cannot connect to data using a client's app unless they know the locus of the data source.
Azure Data Catalog has greatly improved our data searches. Less time is spent on finding assets, and we are able to get optimum value for our available data assets. Different teams are able to add tags to already registered data sources and even register new sources contributing to the discovery of data.
Score 9 out of 10
Vetted Review
Verified User
Our organisation is in the midst of digital transformation. There were data silos which were trying to connect together. Azure data catalogue was helpful in metadata management for data sources. It's our one-stop solution for data discovery. Earlier it was difficult for the business to investigate various data sources we have and the business was more reliant on IT and tech functions for any data discovery-related challenges. With Azure Data Catalogue, business is not only discovering data quickly but also has the proper context they need about the information. This has ultimately resulted in enhanced decision-making and overall efficiencies.
  • data discovery
  • Discovery controls/User controls
  • Integration with existing tools and systems
  • Connection procedures
  • Asset root size can be enhanced
  • Occasionally, data uploading/downloading takes more time
Well suited if your teams are spending more time on looking for data than analysing and finding insights. Azure data catalogue enables quick discovery of data and works with most of the existing systems and tools you have in place. People across the business can get more understanding and context of any data asset in the organisation. Possibilities to shine a light on dark data stuck in silos.
Score 9 out of 10
Vetted Review
Verified User
Azure Data Catalog helps us in finding data and organizing it for forecasting, research, and development. Data Catalog helps us to fine-tune the content.
  • It improves efficiency and context of data.
  • Improves data identification and analysis.
  • Though Azure Data Catalog helps in analyzing data, the tool or resources required to migrate the data are complicated.
Azure Data Catalog is best if your company takes its decision based on data as this tool helps you to improvise the search and organize the data for the research and development team.
Khairul Islam Tonmoy | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Azure Data Catalog combines flexibility, fine-tuning, automation, and sound monitoring. Our primary use case is for advanced analytics data migration. We put it to use in various ETL-related activities, including transforming and normalizing data, bulk uploading, populating data stores, and more. It enables the creation of secure analytic data stores, machine learning on our data, and rapid schema adaptation. One of the tool's most valuable features is its drag-and-drop interface, allowing us to quickly access any data source or table they require. It has changed how we think about storing and getting information. It has revolutionized how we conduct business and the people we can reach and collaborate with worldwide.
  • Drag-and-drop works.
  • Pipeline orchestration tool.
  • Quickly identify data sources.
  • Easy to build cloud-native solutions.
  • Scalable, quick to support, and secure.
  • Multiple choices confuse.
  • Complex implementation.
  • Time-consuming cloud service uploads.
Azure Data Catalog helps us solve data discovery problems brilliantly. Our organization created a single source of truth for our data, which allowed us to develop BI and data science solutions. We can drag tables or data sources to manage workflow. Some of the more complicated data normalization or standardization issues need to be simplified, and I'd like to see that happen.
Chris Guru | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
I'm currently working on a full-cycle Data Migration Project where we are migrating from Legacy to Cloud. Microsoft Azure Data Catalog service facilitates data analysis projects and models that can be used for research purposes. The service allows me and my team to access many datasets from various categories to integrate them into our data analytics workload on the cloud. It gives more insights into data and helps to achieve the project objective.
  • It provides best options to fetch real time data and easy to handle them.
  • Azure Data catalog saves our efforts and time as it's really easy to find the data sets we look for.
  • Our data is Secure and easy to access them as we need.
  • It's user friendly to use them, Esp. in Azure Platform.
  • Some of the files format's import and export is annoying that needs an improvement.
  • Maybe we need better documentation on the process that helps even the people not familiar with the Azure platform.
  • When we load large datasets, that's take quite a lot of time.
I'm currently working on a full-cycle Data Migration Project where we are migrating from Legacy to Cloud. Also, these data are going to be used by many business verticals also for research purposes. This is where Microsoft Azure Data Catalog service facilitates our team on data analysis projects and models that can be used for research and other purposes. Probably I would suggest this kind of application only for large Organizations where they use data as a platform for their objective.
Score 8 out of 10
Vetted Review
Verified User
We are producing home appliances with the Internet of Things (IOT) technologies. So, we can control and monitor our smart home appliances from anywhere. At this point, we use Azure Data Catalog to extract features from device metadata. At the same time, Azur Data Catalog provides us to easily understand the collected data.
  • Understand the metadata
  • Feature extraction from collected data
  • Easly search and find information assets
  • Can be slow while import large dataset
  • Open source API integration can be more easy
  • User interface
You can find assets from a large dataset. Also, it provides you to discover the potential information of your metadata.
Ramprasad Rangachary, PMP® | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
We have wealth of information around financial data aggregated from customers around the world. We shed out PII information and then mine this data and provide valuable intelligence to the customers themselves and other service providers who make meaningful decisions using this valuable data. We use Azure Data Catalog for data management, searching, data inventory, and data evaluation.
  • Data Source Registrations
  • Data Source Discovery
  • BI & Documentation
  • We have been it for a while now and I do not see any major concerns with the product interms of UX/UI, product support and periodic releases
We have a large set of data which our customers periodically look for for various in-depth analysis. Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.
Score 9 out of 10
Vetted Review
Verified User
Azure Data Catalog fantastic fully managed cloud service from Microsoft which can be used to get a good hold of a data sources. Azure Data Catalog makes data sources easily discoverable and understand, any user can annotate by providing tags and description. It's user friendly and reliable. It's allow me to easy to search for anything as it provides global search over the fetched data.
  • Azure Data Catalog is user friendly and reliable.
  • We can remotely access and work with people at different people in different places.
  • It's easy of implementation. Does not requires extended implementation or consulting hours to install or configure.
  • Sometimes they do not allow certain format of a document to be saved or exported/imported.
  • Sometimes, cloud service took more time to upload the data which needs to be improved.
Overall Azure Data Catalog is best product from Microsoft. Azure Data Catalog makes data sources easily discoverable and understand, any user can annotate by providing tags and description. Microsoft provides lot's of features in that. It's user friendly and reliable product.
The cloud upload/download can take a lengthy amount of time.
Mithil Patel | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
We use Azure Data Catalog in our organization to solve data collection and conduct thematic audits of data modules. We use the platform to quantify data first and then find structures or common themes to derive actionable reports for our quarter-end efforts. The scope is strictly internal for now but in the future, we want to roll out the solution for clients as well.
  • Quality of data collection
  • range of modules to choose from
  • wide recognition and industry visibility of the brand
  • UX and design in terms of usage and features.
  • Format of the platform can at times be complicated during on boarding.
  • Reporting templates at times dont fit our needs
It is great for teams to get started and get an established process onboarded across the organization. But I feel as teams and organizational practices evolve, a more robust tool like AWS is better suited. In my personal experience. I also feel there could have been a better knowledge library or community established (for example Salesforce community) to engage with current users and troubleshoot.
Frank Casso | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
We use Azure Data Catalog to facilitate and store significant amounts of data and tasks guided by our SCRUM calls and scrum masters. Tasks are updated by individuals or project leaders on a regular basis. Using this software requires a commitment to significant organization, but the features are there to successfully keep our team on track for the many ongoing tasks.
  • Catalogue tasks
  • Allow access to many
  • Track changes/needs
  • Interface seems slightly cluttered
  • More direct help desk for new users
This program works very well. Small tweaks or simplifications would improve user experience for new employees. We usually have to spend some time and have short training sessions with anyone who is new to the application, but they seem to catch on quickly. I think that can be attributed to the interface and help features. Overall, works well and allows a customizable organization.
Score 8 out of 10
Vetted Review
Verified User
Our company is generating and storing a massive amount of data every day or even every minute. The fast-growing data becomes hard to manage if there is not a centralized platform that we can take advantage of whether it is for virtualization or analytics. So this product addresses the problem.
  • User-friendly.
  • Great graphical user interface.
  • Easy to learn.
  • Performance.
  • Load speed.
  • Documentation.
One of the most useful features is the search engine of the service. It is like Google search but for the dataset that we own. Although it is not the only database-management-like system that provides such a feature; nevertheless, the filters that come along the way for each search do make a great job outstanding querying the data.
Gulam Gaus Warsi | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
We have created our business glossary and our data catalog to share with the entire company. The benefits of doing so are easy handling of the tool and easy administration to share with the company using the active directory. This brilliantly helps all of us to solve data problems regarding data discovery significantly.
  • Data source recognition.
  • Easy to understand.
  • Multiple sources.
  • No termination fee.
  • Slow loading with bigger volumes of data.
  • Certain document formats can not be imported.
Azure Data Catalog helps to manipulate data efficiently. It is a fantastic fully managed cloud service that can be used to get a good hold of data sources. Whatever role a person is in, it makes understand data very easily. Certain formats of a document cannot be imported or exported. But mostly it's a great product and you will love it for sure.
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