Join the 1500 companies using G2 Track to manage SaaS spend, usage, contracts & compliance.

Oracle Enterprise Metadata Management

3.0
(2)

Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.

Work for Oracle Enterprise Metadata Management?

Learning about Oracle Enterprise Metadata Management?

We can help you find the solution that fits you best.

Oracle Enterprise Metadata Management Reviews

Chat with a G2 Advisor
Write a Review
Filter Reviews
Filter Reviews
  • Ratings
  • Company Size
  • User Role
  • Industry
Ratings
Company Size
User Role
Industry
Showing 2 Oracle Enterprise Metadata Management reviews
LinkedIn Connections
Oracle Enterprise Metadata Management review by Ann Forderer B.
Ann Forderer B.
Validated Reviewer
Review Source
content

"Steep Learning Curve"

What do you like best?

My office reviewed several platforms. We liked that OEM was an integrated product that eliminates the need to install additional products. We also liked the monitoring feature.

What do you dislike?

We chose not to use OEM because it was a bit to complicated to get started. There seemed to be a steep learning curve. We also did not find the graphic interface to be intuitive.

What business problems are you solving with the product? What benefits have you realized?

We chose not to use.

Sign in to G2 to see what your connections have to say about Oracle Enterprise Metadata Management
Oracle Enterprise Metadata Management review by Industry Analyst / Tech Writer in Information Technology and Services
Industry Analyst / Tech Writer in Information Technology and Services
Validated Reviewer
Review Source
content

"Oracle Enterprise Metadata Management Review"

What do you like best?

It is a comprehensive metadata management platform, allowing for interactive searches and browses along with analysis.

What do you dislike?

It can be a little too confusing to integrate with the current systems.

What business problems are you solving with the product? What benefits have you realized?

A streamlined platform for everyone to be on the same page, with business analytics and supply chain management.

What Machine Learning Data Catalog solution do you use?

Thanks for letting us know!

There are not enough reviews of Oracle Enterprise Metadata Management for G2 to provide buying insight. Below are some alternatives with more reviews:

1
IBM Watson Knowledge Catalog Logo
IBM Watson Knowledge Catalog
4.4
(14)
IBM Watson Knowledge Catalog powers intelligent, self-service discovery of data, models and more, activating them for artificial intelligence, machine learning and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside.
2
Alation Logo
Alation
3.7
(5)
Alation is a data catalog designed to empower analysts to search, query & collaborate on data to gain faster, more accurate insights.
3
Unifi Logo
Unifi
3.3
(2)
Unifi is a single data interface for the enterprise.
4
Collibra Logo
Collibra
4.0
(2)
Collibra is a cross-organizational platform designed to break down the traditional data silos, freeing the data so all users have access.
5
Hortonworks Data Steward Studio Logo
Hortonworks Data Steward Studio
4.5
(1)
Data Steward Studio (DSS) is a DataPlane Service that empowers users to understand, secure, and govern data across enterprise data lakes.
6
Informatica Enterprise Data Catalog Logo
Informatica Enterprise Data Catalog
(0)
A machine-learning-based data catalog that allows to classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across enterprise.
7
Anzo Smart Data Lake Logo
Anzo Smart Data Lake
(0)
A Semantic Layer for the Enterprise. Enabling Connected Data Access and Analytics on Demand. Anzo Smart Data Lake (ASDL) connects to both internal and external data sources, including cloud or on-premise Hadoop based data lakes to rapidly ingest and catalog large volumes of structured and unstructured data through horizontally scaled, automated Extract, Transform and Load (ETL) processes that can be mapped to establish a Semantic Layer of business meaning.
8
Immuta Logo
Immuta
(0)
Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.
9
Infogix Data3Sixty Logo
Infogix Data3Sixty
(0)
Infogix Data3Sixty enables users to source data from multiple data platforms and applications, including other Infogix products, as well as external databases, enabling collaboration, knowledge-sharing, and user.
10
Waterline Data Catalog Logo
Waterline Data Catalog
(0)
Waterline Data Fingerprinting works by analyzing the data values in each data set and profiling the data. Waterline Data then uses that information to create a fingerprint for each column of data—using machine learning to intelligently and automatically tag and match data fingerprints to glossary terms and populate the data catalog. Users can then refine matched terms, and remaining unmatched terms, through crowdsourcing.
Show more
Kate from G2

Learning about Oracle Enterprise Metadata Management?

I can help.
* We monitor all Oracle Enterprise Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.