Alation offers enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation operates in thethe data catalog market. With its Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight with the goal of tackle the most demanding challenges in data and metadata management.
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AWS Glue
Score 8.6 out of 10
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AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
$0.44
billed per second, 1 minute minimum
Informatica Data Catalog
Score 7.8 out of 10
N/A
A solution to speed up analytics and data science projects with an automated, simplified data preparation tool.
1.Alation is cheaper. 2.Manta meets the needs only in discovering lineage. 3.AWS Glue is more technical data catalog and it doesn`t allow to describe source or table in detailed way.
AWS Glue is easier to use and has more and better features compared to it. And more documentation and tutorials and labs are widely available on the internet about AWS Glue which in turn helps in easier implementation of the spark jobs. Auto scaling is an added advantage. It's …
Alation is well suited to helping a user find a column or even a query using a business term search. In this regard Alation is excellent because it's easy to not only associate these items with each other, but there are also many ways to link the column and/or query to that business term/concept
One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
I am working in a medical device company and we require a large amount of data to analyze. Handling large amounts of data using this tool is very easy and the user interface is easy and simple to navigate. Earlier we used to use excel and text files to extract the data but now using this tool we have improved in transforming the data.
Ability to link objects using the @ symbol. It allows us to easily provide a way to get more information or context. So if the business concept is part of a hierarchy, we can link to the other terms in that hierarchy.
The customization is really helpful. Most object types have robust customization options. Others are less so, but it is improving. We've created multiple custom fields to support our data governance framework.
The search feature with filtering is helpful in narrowing down what you're looking for.
It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
The lineage UI is not ready for primetime. I would not recommend this feature for my users at this time because it's too complex to understand and is visually difficult to track down specific paths.
The underlying infrastructure of the on-premise version of the software is fragile and unnecessarily complicated, using too many modules and technologies.
The license model of the on-premise version contains too many add-ons. I would like to pay one price and get all of the features.
Overall, we are happy with the functionality of the platform. While there are are areas that we would like to see further improvement in, the tooling is highly configurable and aligns well with our use case. A mature API layer makes it straightforward to integrate with other data tooling. Alation stands out for its pro-active engagement with their customers, both to resolve issues and in communicating their feature roadmap
Alation Data Catalog is generally easy to use for finding datasets, reviewing documentation, and understanding ownership. The platform makes data discovery more efficient and improves trust in shared assets. I rated it 7 because the navigation can be complex at times, and the search results could be more precise and easier to refine.
While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
The account management and technical support teams are both excellent. There is regular account manager engagement, and technical issues are generally resolved very quickly. The vendor engages us in product development through regular updates on the product strategy & feature roadmap.
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
Key insight from implementing Alation is that, as a cloud-based SaaS product, the majority of effort is not infrastructure-related but instead focused on security configuration and integration with existing platforms, including identity management, access controls, and metadata connectivity to core data systems. Because of its data profiling functionality, careful consideration had to be given to data security and data sovereignty.
Alation provided the right balance of connection with systems in use, trusted reputation and affordability. The product integrates with current ways of working and does not require reorganisation within other lines of business.
AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
To improve the business process outcomes we have purchased this tool. By using this tool data preparation is easy and much [more] flexible and I would suggest [it as] a good option to try. As it is built with powerful AI and supports as large datasets as we can get without any reduction in performance.
We've had limited but very positive impact for 3 data subject matter experts. In the past they were fielding very similar questions from users stumbling on their data. Now, rather than responding to each email or chat message, they not only direct users to the catalog but they also reach out to me to do a walk-through of Alation's other features.
Another positive impact is having the data dictionary live in one location. This has been tremendous in making the dictionaries accessible and consistent.
We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
