The Forrester Wave™: Enterprise Data Catalog for DataOps, Q2 2022

Forrester Wave: Evaluation overview

Each of the 14 enterprise data catalog providers under evaluation was ranked, positioned, and scored based on:

1. Current offering
2. Strategy
3. Market presence

Current offering

The Y-axis represents the strength — weaker to stronger — of the current product offering of each solution provider. The evaluation parameters include criteria such as cataloging; data intelligence; data governance, DataOps, and engineering; connectivity, interoperability & portability; and data as a service.

Strategy

The X-axis represents the strength of their strategies. This includes product vision, market approach, performance, planned enhancements, innovation roadmap, and partner ecosystem.

Market presence

The size of the circle represents market presence. This includes revenue, number of customers, and average deal size. A gray bubble or open dot represents a non-participating solution provider.

Forrester Wave Enterprise Data Catalogs: Key evaluation criteria

Current offering

Forrester assigns 50% of the ranking weightage to important product capabilities that are a must-have in an enterprise data cataloging solution. These capabilities include:

1. Data and metadata management
2. Types of data products supported — sources, tables, pipelines, policies, data models, etc
3. Data discovery, profiling, and data lineage — impact and root cause analysis, and anomaly detection
4. Monitoring, alerts, and compliance
5. User experience — personalization and collaboration
6. Ease of development and deployment
7. Advanced support — testing, anomaly detection, and machine learning support
8. Risk management — enabling data protection, privacy, and regulatory policies
9. DevOps — customizability, and extensibility via APIs
10. Cloud and data fabric connectors
11. Integrations with BI, analytics, and data science tools
12. Data orchestration
13. Data quality and data lifecycle management

Strategy

Forrester assigns another 50% of the ranking weightage to evaluate the enterprise data catalog product strategy. This includes:

1. Product vision — vision alignment with the current and future needs of customers
2. Market approach — proven go-to-market strategy with support for new verticals and geographies
3. Performance — vital business metrics like revenue growth and profitability
4. Planned enhancements — to support changing customer needs
5. Innovation roadmap — a proven commitment to future innovation

Market presence

Unlike the “current offering” and “strategy”, Forrester does not assign any ranking weightage to evaluate marketing presence. The key evaluation criteria include:

1. Revenue growth
2. Number of active customers
3. Average deal size

This report serves as a guide for data leaders and practitioners to consider, evaluate and choose the right data catalog for their DataOps environment.

Atlan, a Leader in Enterprise Data Catalogs

Atlan is recognized as a Leader in The Forrester Wave: Enterprise Data Catalogs for DataOps, Q2 2022 report.

Top analysts at Forrester Wave evaluated 14 of the most significant Enterprise Data Catalogs for DataOps | Source: Forrester Wave

Atlan received the highest score possible in 17 criteria, including Product Vision, Market Approach, Innovation Roadmap, Performance, Connectivity, Interoperability, and Portability.

Atlan received top scores in 17 criteria, including Product Vision, Market Approach, Innovation Roadmap, Performance, Connectivity, Interoperability, and Portability. | Source: Forrester Wave

According to the Forrester report, “Atlan is the tool of choice for DataOps and data product deployment.” Forrester also goes on to state that Atlan’s, “extensive integration makes data sharing easy, flexible, and scalable within hybrid distributed ecosystems for analytics and operational use cases.”

If you are evaluating an enterprise data catalog for your organization, take Atlan for a spin. Atlan is a third-generation data catalog and metadata management tool built on the premise of embedded collaboration that is key in today’s modern workplace, borrowing principles from GitHub, Figma, Slack, Notion, Superhuman, and other modern tools that are commonplace today.

Atlan Demo: Enterprise data catalog for DataOps

The Forrester Wave™: Enterprise Data Catalog for DataOps, Q2 2022: Related reads

• DataOps explained from scratch: Principles, emergence, and importance
• What Is a Data Catalog? & Do You Need One?
• Data Catalog for DataOps: 7 Key Capabilities to Consider
• Data Catalog for Data Fabric: 5 Essential Features to Consider
• DataOps vs. DevOps: Differences and similarities
• The Forrester Wave™: Enterprise Data Catalog for DataOps, Q2 2022
• Top data catalog use cases intrinsic to data-led enterprises
• Best Alation Alternative: 5 Reasons Why Customers Choose Atlan