Top 8 Data Governance Tools
Collibra GovernanceInformatica AxonMicrosoft Azure PurviewAlation Data CatalogSAS Data Managementerwin Data Intelligence (DI) for Data GovernanceSAP Data HubCollibra Lineage
Provides a good view of the data and how it's being utilized, as well as calibration quality.
We have folks in the field doing our clinical research operations, and they have the opportunity to refer to Collibra when they are examining a particular report. When they have a question about how something in that report is derived, they can pull a metric that is defined fully in Collibra. They have the opportunity to drill back into Collibra to see that.
Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie.
Has a good interface and is reasonably priced.
Given the relatively low level of maturity, Alation's most relevant feature at the moment is a user interface that's easy to navigate, which helps us find and understand the data. So while Alation has a lot more functionality, our pain point right now is being able to easily find, understand, and trust the information to use it.
Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools.
The metadata manager and the mapping manager are valuable. We use the metadata manager to document our tables and columns within our data stores, and we use the mapping manager for ETL specifications. These features are helpful because our major focus is on just documenting the movement of data. We don't focus on the other modules within the product, so we just never decided to use them.
The most valuable feature is the S/4HANA 1909 On-Premise
Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitt
It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful.
The solution has very good online assistance.