Traditional Data Catalogs Are Incomplete and Insufficient

Traditional Data Catalogs Are Incomplete and Insufficient

Most traditional data catalogs are architecturally unable to support real-time, in-production use cases, govern AI and data in a unified way, or leverage automation to improve efficiency.

Why Seven89 Cloud Is Different

Feature Traditional Data Catalog Seven89 Cloud
Compliance & Audits Basic, check-the-box compliance Continuous monitoring and audit-ready reporting
Discovery Reference source for a few users searching occasionally Real-time discovery for entire teams, with enterprise-wide adoption
Production Readiness Often cannot meet scale, latency, and reliability requirements Built to meet production workloads, high availability, and low latency
Unified Governance Fragmented tools for data only Single platform for discovery, observability, and governance of both data & AI
AI & Data Asset Management No support for AI asset tracking Manage data pipelines, AI models, and metadata in one place
Automation & Intelligence Mostly manual workflows Uses automation & AI to improve reliability, reduce toil, and accelerate delivery
Human + Machine Friendly Designed only for human users Built for use by both people and programmatic agents (APIs, pipelines)

🔑 Key Benefits

  • Faster Delivery – Ship production-ready pipelines & AI models in less time

  • Lower Risk – Reduce compliance headaches with continuous monitoring

  • Smarter Teams – Empower data, AI, and engineering teams with a single source of truth

💡 Conclusion

The future of data and AI management requires more than a catalog — it requires a platform.
With Seven89 Cloud, your organization can finally bring order to data chaos, scale governance, and accelerate AI innovation.

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