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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Databricks Data Intelligence Platform
Score 8.8 out of 10
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Databricks offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service provides a platform for data pipelines, data lakes, and data platforms.
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
Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
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.
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
Mostly because the search feature is case sensitive. This causes issues when users are searching for an industry standard acronym. These acronyms exist as attributes in thousands of places across our data ecosystem. Alation allows stewards to endorse attributes so that these endorsed items rise to the top of search results. The problem is no one types acronyms in caps in a search field. Alation returns results matching the case (lower-case) and in several instances the endorsed attributes don't even appear on the first page of results
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.
in terms of graph generation and interaction it could improve their UI and UX
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.
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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.
The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
Provides a place where people can go to find things
When we first implemented, someone was concerned that people would now see what a mess our data environment was. I consider that a feature. We can't clean up if we can't see what we have.
