Palantir Foundry vs erwin Data Catalog by Quest comparison

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erwin by Quest  Logo
262 views|207 comparisons
100% willing to recommend
Palantir Logo
10,289 views|5,036 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between erwin Data Catalog by Quest and Palantir Foundry based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: April 2024).
768,886 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The data catalog feature is pretty good.""When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."

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"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case.""Encapsulates all the components without the requirement to integrate or check compatibility.""The data lineage is great.""The virtualization tool is useful.""Live video sessions enhance the available documentation and allow you to ask questions directly.""Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.""Great features available in one tool.""The solution offers very good end-to-end capabilities."

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Cons
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names.""There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."

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"If you want to create new models on specific data sets, computing that is quite costly.""The frontend capabilities of Palantir Foundry could be improved.""It requires a lot of manual work and is very time-consuming to get to a functional point.""Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive.""Some error messages can be very cryptic.""There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers.""Cost of this solution is quite high.""Difficult to receive data from external sources."

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Pricing and Cost Advice
  • "I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
  • "Erwin Data Catalog is very expensive."
  • More erwin Data Catalog by Quest Pricing and Cost Advice →

  • "Palantir Foundry has different pricing models that can be negotiated."
  • "It's expensive."
  • "The solution’s pricing is high."
  • More Palantir Foundry Pricing and Cost Advice →

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    768,886 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes… more »
    Top Answer:The data catalog feature is pretty good.
    Top Answer:Erwin Data Catalog is very expensive. I would rate it a two out of five for affordability.
    Top Answer:Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.
    Top Answer:The solution's pricing is high. Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive. There could possibly be a little bit of overhead concerning the maintainability… more »
    Top Answer:Palantir Foundry is being used for multiple hybrid cloud integrations in one of the services we provide for an existing US-based customer. It's all about getting together data from Azure and Amazon… more »
    Ranking
    12th
    out of 27 in Metadata Management
    Views
    262
    Comparisons
    207
    Reviews
    1
    Average Words per Review
    564
    Rating
    7.0
    11th
    out of 100 in Data Integration
    Views
    10,289
    Comparisons
    5,036
    Reviews
    12
    Average Words per Review
    595
    Rating
    7.6
    Comparisons
    Learn More
    Overview

    erwin Data Catalog (DC), part of the erwin Data Intelligence Suite, automates enterprise metadata management, including data mapping, code generation, data profiling, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in accordance with business requirements by scheduling ongoing scans of metadata from the widest array of data sources, keeping metadata current with full versioning and change management, and easily mapping data elements from source to target, including data at rest and in motion, and harmonize data integration across platforms.

    Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.

    Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.

    Palantir Foundry includes tools to integrate data of any scale, format, or structure, and also has granular, flexible access controls for individual datasets. In addition, it has an open, modular architecture with multiple RESTful APIs, it has native applications for developing machine learning and artificial intelligence, it provides sophisticated data science applications for users of all technical abilities, and much more.

    Palantir Foundry Features

    The most valuable Palantir Foundry features include:

    Security, flexibility, interoperability, easy deployment, built-in role classification, purpose-based access controls, interoperable architecture, model integration, AI modeling tools, ontology, custom workflows, team-specific applications, self-serve analytics, lineage system, operational application building, 200+ data connectors, data versioning, change management framework, sand decision orchestration, and custom dashboard and report building tools.

    With Palantir Foundry You Can:

    • Accelerate development & operations
    • Collaborate globally
    • Save time on security
    • Reduce costs

    Palantir Foundry Benefits

    Some of the many Palantir Foundry benefits include:

    • Modular: Because Palantir Foundry is modular, it can integrate with existing infrastructure.

    • Granular governance: Robust data governance controls help ensure seamless compliance, auditability, and security.

    • Secure data sharing: The security infrastructure allows you to share data securely, within organizations and with chosen partners.

    • Rapid integration: Palantir Foundry can rapidly integrate models and data from data platforms into an operational ontology, and can also fuel existing data platforms.

    • Stand-alone deployment: Palantir Foundry can be deployed standalone and can provide all necessary capabilities for data connection, data integration, and model building.

    • Prevent lock-in: The data and model integration suites are designed to prevent lock-in, and assume that tools will be interoperating with Palantir Foundry as an organization grows.

    • No SQL necessary: Users do not have to use SQL queries or employ engineers to write strings in order to search petabytes of data. With Palantir Foundry, natural language is used to query data and results are returned in real-time.

    • Excellent data integration: Palantir Foundry provides secure, scalable, and resilient integration of all data sources.

    • Availability: The Palantir platform uses DNS routing, gateways and elastic load balancing to ensure availability. Dedicated accounts and virtual resources are used on a per customer basis.

    • Multiple metrics types: The Palantir platform provides hundreds of metrics. Some include average session length, drop-off rate, number of logins per user, number of accounts, and search speed.

    Reviews from Real Users

    PeerSpot users like Palantir Foundry because it has many advantages:

    “It is user-friendly, good automation, and allows you to do a better job of data governance.” - Associate, Inhouse Consulting at a pharma/biotech company

    “Works seamlessly with good end-to-end capabilities and the capability to scale.- Wallace H., Sr. Director at a tech services company




    Sample Customers
    Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
    Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company13%
    Government11%
    Manufacturing Company7%
    REVIEWERS
    Computer Software Company33%
    Pharma/Biotech Company11%
    Healthcare Company11%
    Non Tech Company11%
    VISITORS READING REVIEWS
    Manufacturing Company12%
    Financial Services Firm11%
    Computer Software Company10%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise16%
    Large Enterprise71%
    REVIEWERS
    Small Business17%
    Midsize Enterprise42%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Metadata Management
    April 2024
    Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management. Updated: April 2024.
    768,886 professionals have used our research since 2012.

    erwin Data Catalog by Quest is ranked 12th in Metadata Management with 2 reviews while Palantir Foundry is ranked 11th in Data Integration with 13 reviews. erwin Data Catalog by Quest is rated 7.6, while Palantir Foundry is rated 7.6. The top reviewer of erwin Data Catalog by Quest writes "Helps with metadata management, saves time, and allows us to do impact analysis on any changes". On the other hand, the top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". erwin Data Catalog by Quest is most compared with Informatica Enterprise Data Catalog, Talend Open Studio, Oracle Data Integrator (ODI), Alation Data Catalog and WhereScape RED, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer.

    We monitor all Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.