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Comparison · Analytics

ManageEngine ADManager Plus vs Deepnote

Side-by-side trajectory, velocity, and editorial themes.

M0.0

ADManager Plus keeps a steady maintenance cadence while layering Zia AI and marketplace extensibility on top.

◆ Current state

ADManager Plus is in a mature, build-by-build maintenance rhythm: most releases pair a handful of fixed issues with the occasional security patch and a targeted enhancement. Underneath that steady stream, two more strategic threads have appeared — a Zia AI assistant for natural-language AD management and a Marketplace that lets admins install third-party extensions and manage those identities from within the product.

◆ Where it's heading

The product is broadening from pure Active Directory / Microsoft 365 management toward an extensible identity-operations hub, with AI (Zia, Zia Insights) as the emerging query layer and the Marketplace as the extensibility layer. But the dominant signal remains hardening — JRE upgrades, Kerberos AES support, CVE fixes — suggesting the roadmap is being executed conservatively for an enterprise, on-prem-heavy install base.

◆ Prediction

Expect continued security-and-stability builds punctuated by incremental Zia capabilities and more Marketplace extensions as ManageEngine builds out the third-party ecosystem.

D
Deepnote
ANALYTICS
6.3

Deepnote reshapes the data notebook into agent-operable infrastructure.

◆ Current state

Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.

◆ Where it's heading

Two tracks are converging: reproducibility and engineering rigor (immutable run snapshots, Git sync, notebook interoperability) and agent-operability (MCP tools, Codex context). Deepnote is positioning the workspace as the trusted context layer that AI agents act through, not just a place humans write notebooks.

◆ Prediction

Expect more MCP tooling that lets agents operate Deepnote projects autonomously, plus deeper native hooks for external coding agents — the workspace-as-agent-context bet will likely expand beyond Codex.

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