Dataiku vs Neptune.ai

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

The short answer

Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 2.6 for Neptune.ai, and ranks ahead in 100% of the answers that name both.

Choose Dataiku if…

You want the brand AI engines rank higher (8.5 vs 2.6)
AI answers describe it more positively (48% vs 25% positive)
You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP or GDPR coverage
You prefer a larger, established vendor (1,001–5,000 employees)

Choose Neptune.ai if…

You need a self-hosted or on-premises option
Collaboration-first dashboard for tracking experiments
Lightweight metadata store built for experiment tracking
Discounts on annual plans

AI visibility side by side

Latest weekly run · Nov 2

Metric	Dataiku	Neptune.ai
Visibility score	8.5%	2.6%
Change vs last week	New	New
Rank in MLOps Platforms	#12	#24
Share of voice	2.9%	0.6%
Mentions this run	20	4
Positive in AI answers	48%	25%

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

Visibility score trend

Weekly runs over the last 60 days

Dataiku 0pp · Neptune.ai 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT

12.2%

0.9%

AI Mode

9.3%

6.8%

Perplexity

3.9%

DataikuNeptune.ai

Head to head in AI answers

1 engine answers name both brands

1Dataiku ranked higher

0Neptune.ai ranked higher

Prompt	Engine	Dataiku	Neptune.ai
Official website of the top MLOps platform vendors	ChatGPT	#7	#16

Features, pricing & fit

Dimension	Dataiku	Neptune.ai
Deployment	Runs on the clouds, data platforms and models a customer already has	Hosted service by default, with a self-hosted option on-premises or on AWS, Google Cloud or Azure as a Kubernetes cluster, deployed as microservices via a Helm chart.
Integrations	—	25+
Compliance	ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR	—
Founded	2013	2017
Headquarters	New York City, NY	Palo Alto, California, United States
Employees	1,001–5,000	51–200
Funding	Series E · $600M raised	Series A · $18M raised
Best for	Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance	Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs.