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Many potential data catalog customers find themselves confused over how pricing works.
What should you expect to pay? The answer to that depends on a number of variables, including the number of users supported, data connectors, the volume of data processed, and support & integration needs.
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In this article, we look at the factors that enter into data catalog pricing so that you can evaluate costs across service providers. We also discuss how to prepare for a data catalog pricing discussion.
Looking for a data catalog with an ROI you can present to your CDO? Atlan is designed for adoption and embedded with automation. It helps you save time, cut cloud costs, and make faster, better decisions that lead to revenue.
Table of contents #
- How to think about data catalog pricing
- Data catalog pricing: core factors
- Base platform
- Users
- Enhancements
- Support
- Additional costs related to your data catalog
- How to prepare for a data catalog pricing discussion
- Let Atlan help
- Data catalog pricing: Related reads
How to think about data catalog pricing #
For some data catalogs - mainly, those offered as embedded services from cloud providers, like AWS Glue - pricing is more or less straightforward. These tools are offered as pay-as-you-go services with pricing publicly available.
However, these data catalogs aren’t as complete as dedicated data catalogs. And they often don’t integrate well with tools outside the cloud provider’s ecosystem.
Pricing is more complex for a dedicated data catalog - one you can use to service your entire enterprise across hundreds of data connectors and multiple clouds. Since this scale varies greatly between companies, so does the cost.
It’s important to contextualize the cost of a data catalog purchase. The key question to answer is: What business value will I get from my data catalog?
From a financial standpoint, you need to weigh the value a data catalog gives you against the initial and ongoing cost. Data catalogs can deliver revenue and savings by:
- Enabling employees to make confident decisions with trusted data
- Accelerating data & AI projects
- Safeguarding stakeholders with secure & compliant data operations
- Realizing ROI on your data stack
There are also non-financial considerations, such as increasing employee satisfaction and boosting corporate data literacy.
Data catalog pricing: core factors #
As a general rule, data catalog service providers break down their pricing based on the following factors:
- Base platform
- Users
- Enhancements
- Support
Let’s explore each in detail.
Base platform #
This is how much the provider will charge for the platform’s core functionality. This price also usually includes a set number of:
- Initial users
- Data connectors (connections to external data sources)
- Tables indexed by the data catalog
This price will typically include the cost of one production server and may also cover one or two non-production servers. This enables you to test changes and automations in a pre-prod environment before promoting them to work on production data.
Users #
Many data platform providers will also charge by the number of users. Typically, there are different costs for different levels of users. Common user types include:
| Type | Level of access |
|---|---|
| Viewer or guest | Read-only access without editing |
| Regular users | General read/write access to existing data |
| Stewards | Read/write, can add new entities and approve/reject changes to metadata |
| Admins | Full system control, including creating other users and adding data connectors |
A given provider may also provide bulk discounts for volume user license purchases.
Some providers may not charge by user. Instead, they allow unlimited users but charge based on a combination of the events, computing core processing units, data volume, and data processing used to maintain your data catalog. This is usually calculated as a specialized unit of measure that’s convenient for the data catalog provider but can be hard for users to understand.
Enhancements #
Enhancements fall into two categories.
Users, tables, and connectors #
The first is charges for users, tables, and connectors that go beyond the defaults provided as part of the base platform. It’s important to understand what volume of users, data sources, and tables you expect your data catalog to handle, as this is where costs can add up.
For example, your typical organization has around 400 disparate data sources. Enterprises can have over 1,000.
Other add-ons #
The second is any add-ons that aren’t considered “base” functionality. This can include, for example, a data quality package available as an add-on to the data catalog purchase.
Pricing for add-ons can differ wildly from provider to provider, as some will include a feature as part of their base platform that another provider considers an add-on.
Support #
Support also breaks down into two separate categories.
Implementation support #
First, there’s the initial support required to get your data catalog up and running. Again, the costs here can differ extremely across providers.
Some legacy data catalog service providers have extremely complicated setup procedures that more or less require assistance from their professional services teams. Others will have simpler setup procedures and a host of easy-to-use data connectors that enable DIY setup by your own IT or data engineering departments.
Ongoing support #
Second, there’s the cost of ongoing support. This will cover raising platform issues escalated by users as well as issues your IT or data engineering teams have with systems integration work. Ongoing support costs may be tiered, with higher levels of support receiving faster service and shorter time to resolution.
Additional costs related to your data catalog #
Keep in mind that these are the direct costs for licensing a data catalog. There are other factors you should keep in mind beyond data catalog pricing that impact the Total Cost of Ownership. These include:
Hosting costs #
Do you intend to host a data catalog in your own cloud provider instead of using a Software as a Service (SaaS) model?
If so, you’ll need to calculate the computing, storage, and data transfer costs associated with your cloud provider’s region.
Internal support burden #
As issues arise with your data catalog, you’ll need a team to take point on new requests.
This team will resolve simple issues and escalate harder issues to the service provider They will also take the lead on updating internal documentation in response to frequently asked questions.
Internal training & support #
Users, stewards, and admins will need training on the new data catalog. Some of this can come from your provider. But you’ll still need training on how this new addition to your modern data stack integrates with your day-to-day processes.
How to prepare for a data catalog pricing discussion #
With this knowledge, you can better prepare for a pricing discussion with a data catalog provider. Before entering the discussion, make sure you’ve assessed the following:
- Know your user cases and requirements. Use our data catalog purchasing guide to determine what use cases are top of mind for your organization. This will help you understand what features you need from a data catalog. That, in turn, which additional features outside of a provider’s base platform you need to license.
- Know your data estate. Have a sense of the size and maturity level of your data estate. This will include the number of data sources and tables that you plan to track.
- Estimate usage. How many users will need read access? Edit access? How many admins will you need to support?
- Estimate integration work required. Does your chosen data catalog provider support a large number of out-of-the-box connectors? Does it have a simple, DIY setup procedure? Do you have unsupported third-party systems or internal systems that will require custom programmatic work to integrate? The answers to these questions will impact how much you’ll need to spend in the integration phase.
Let Atlan help #
At Atlan, we’ve worked hard to make the hard stuff easy. Atlan is a state-of-the-art data catalog designed with a DIY setup procedure, dozens of out-of-the-box connectors, and an intuitive UI - all of which lead to lower TCO. Contact us today to discuss how Atlan can take your data management to the next level.
Data catalog pricing: Related reads #
- Data Catalog: What It Is & How It Drives Business Value
- What Is a Metadata Catalog? - Basics & Use Cases
- Modern Data Catalog: What They Are, How They’ve Changed, Where They’re Going
- Open Source Data Catalog - List of 6 Popular Tools to Consider in 2024
- 5 Main Benefits of Data Catalog & Why Do You Need It?
- Enterprise Data Catalogs: Attributes, Capabilities, Use Cases & Business Value
- The Top 11 Data Catalog Use Cases with Examples
- 15 Essential Features of Data Catalogs To Look For in 2024
- Data Catalog vs. Data Warehouse: Differences, and How They Work Together?
- Snowflake Data Catalog: Importance, Benefits, Native Capabilities & Evaluation Guide
- Data Catalog vs. Data Lineage: Differences, Use Cases, and Evolution of Available Solutions
- Data Catalogs in 2024: Features, Business Value, Use Cases
- AI Data Catalog: Exploring the Possibilities That Artificial Intelligence Brings to Your Metadata Applications & Data Interactions
- Amundsen Data Catalog: Understanding Architecture, Features, Ways to Install & More
- Machine Learning Data Catalog: Evolution, Benefits, Business Impacts and Use Cases in 2024
- 7 Data Catalog Capabilities That Can Unlock Business Value for Modern Enterprises
- Data Catalog Architecture: Insights into Key Components, Integrations, and Open Source Examples
- Data Catalog Market: Current State and Top Trends in 2024
- Build vs. Buy Data Catalog: What Should Factor Into Your Decision Making?
- How to Set Up a Data Catalog for Snowflake? (2024 Guide)
- Data Catalog Pricing: Understanding What You’re Paying For
- Data Catalog Comparison: 6 Fundamental Factors to Consider
- Alation Data Catalog: Is it Right for Your Modern Business Needs?
- Collibra Data Catalog: Is It a Viable Option for Businesses Navigating the Evolving Data Landscape?
- Informatica Data Catalog Pricing: Estimate the Total Cost of Ownership
- Informatica Data Catalog Alternatives? 6 Reasons Why Top Data Teams Prefer Atlan
- Data Catalog Implementation Plan: 10 Steps to Follow, Common Roadblocks & Solutions
- Data Catalog Demo 101: What to Expect, Questions to Ask, and More
- Data Mesh Catalog: Manage Federated Domains, Curate Data Products, and Unlock Your Data Mesh
- Best Data Catalog: How to Find a Tool That Grows With Your Business
- How to Build a Data Catalog: An 8-Step Guide to Get You Started
- The Forrester Wave™: Enterprise Data Catalogs, Q3 2024 | Available Now
- How to Pick the Best Enterprise Data Catalog? Experts Recommend These 11 Key Criteria for Your Evaluation Checklist
- Collibra Pricing: Will It Deliver a Return on Investment?
- Data Lineage Tools: Critical Features, Use Cases & Innovations
- OpenMetadata vs. DataHub: Compare Architecture, Capabilities, Integrations & More
- Automated Data Catalog: What Is It and How Does It Simplify Metadata Management, Data Lineage, Governance, and More
- Data Mesh Setup and Implementation - An Ultimate Guide
- What is Active Metadata? Your 101 Guide
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