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SlateIndex
MLRunOpen Source MLOps Orchestration
vs
TectonReal-time enterprise feature store
Comparison · MLOps Platforms · weekly run Nov 2

MLRun vs Tecton

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

MLRun is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.9 versus 1.2 for Tecton.

Choose MLRun if…

  • You want the brand AI engines rank higher (1.9 vs 1.2)

Choose Tecton if…

  • You need SOC 2 Type II or ISO 27001 or GDPR (DPA available) coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric MLRun Tecton
Visibility score1.9%1.2%
Change vs last weekNewNew
Rank in MLOps Platforms#31#38
Share of voice0.3%0.3%
Mentions this run22
Positive in AI answers—0%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2MLRun 2%

MLRun 0pp · Tecton 0pp over 0 weekly runs.

Engine by engine

MLRun leads on 2 of 3 engines

ChatGPT
2.6%
0.9%
AI Mode
0%
2.6%
Perplexity
3.1%
0%
MLRunTecton

Head to head in AI answers

0 engine answers name both brands

0MLRun ranked higher
0Tecton ranked higher

Features, pricing & fit

DimensionMLRunTecton
DeploymentKubernetes, AWS cluster, or local Docker for demo and test; multi-cloud, hybrid or on-premHybrid SaaS, with features stored in the customer's cloud account; also offers a Virtual Private Tecton model with a shared-responsibility split
Compliance—SOC 2 Type II, ISO 27001, GDPR (DPA available)
HeadquartersHerzliya, IsraelSan Francisco, California (Databricks, parent company)
Funding—Seed and Series A · $160M raised
Best for—Larger teams running production ML and AI systems that need real-time features

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “MLRun vs Tecton”, https://slateindex.ai/compare/mlrun-vs-tecton, data of Nov 2, 2026. Licence: CC BY 4.0.