The only data catalog which crawls Relational (RDBMS) as well as NoSQL databases & files

Don’t want to move your data? You don’t have to. With OvalEdge, your data stays in its native databases (ERP, E-Commerce, HR, etc. ). Smart Catalog will crawl the data from relational as well as NoSQL databases and files, using metadata descriptions and statistics.

Smart Catalog can also index and crawl data stored in your data visualization tools.

OvalEdge crawls the various databases and repositories to catalog all data

data catalog

OvalEdge can also catalog a Hadoop data lake.  This tool uses its proprietary algorithms to profile all data and mark relationships across a data lake of thousands of tables and files.

Find data using everyday language

Using everyday keywords, a data consumer can find the data they want. This data catalog uses algorithms to read all the data from the company’s databases, summarizes it, and then catalogs it intuitively.  In fact, the algorithms are based on Google’s PageRank algorithm. These algorithms build relationships and prioritize relevant data sets, so analysts don’t have to know what they are looking for or where it’s located. 

Find & Explore

Find Data


See where your data is located

Get Guidance to Create Insights

Using best practices, the Smart Catalog will recommend filters and joins to help you build insights.

It will also remind you of who has access to the data, and what exactly they can do.

data relationships

Get recommendations for filters and joins

Set up Alarms to Notify SMEs About Data Changes

Alerts can be set up to notify users about any changes to the data sets. For example, admins can write a business rule that if the metadata changes for a specific accounting data set, notify the accounting SME, John. Or if there’s a sizable data increase from the e-commerce database, then notify Susan in e-commerce.

OvalEdge provides dozens of pre-built rules.

Smart Catalog will mark relationships amongst all data

The data catalog will intelligently mark relationships across the data, even if it’s housed in a data lake.  This will help analysts understand similar or related data.


The Smart Catalog marks the data by:

  •  learning relationships through analysts’ SQL queries
  • discovering native database relationships
  • incorporating analysts’ knowledge
  • leveraging advanced algorithms in a Hadoop data lake

data relationships

See relationship amongst the data

Smart Catalog shows lineage and context and enables communication between teams about data

Using a visualization tool, data consumers can see the lineage of the data, where it comes from, what table it’s made from, what database hosts the table, as well any and all comments about the table.


Data consumers can chat directly in the catalog about the data. Or, they can send a link using Slack or email, and the link shows all the details about the data.


See Lineage of Data



Note crucial information about the table/file in the Wiki. Every file/table has its own Wiki.

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