# Which low-code ML platforms are actually worth using for a startup that wants to build predictive models without hiring a full data science team?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm putting together notes on which low-code ML tools make sense for small and early-stage teams, the kind that want predictive models but can't justify a full data science hire yet. So I filtered the reviews down to people at very small companies and solo users to see what held up. Within G2's<a class="a a--md" elv="true" href="https://www.g2.com/categories/low-code-machine-learning-platforms"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/low-code-machine-learning-platforms">low-code machine learning platforms</a> category, the tools that came up most from small-team reviewers were Altair AI Studio, KNIME, and Alteryx, with a couple more worth weighing. Here's the rundown:</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/rapidminer-studio"><strong>Altair AI Studio</strong></a> - Small-company reviewers, including a two-person automotive shop, say you can try machine learning without coding, and several mention a free edition for learning, which lowers the barrier for a team just getting started.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/knime-analytics-platform"><strong>KNIME</strong></a> - A solo analytics trainer praised its no-code, drag-and-drop approach that covers everything from basic analytics to advanced modeling in one free tool, which is appealing when there's no budget for licenses.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/alteryx"><strong>Alteryx</strong></a> - Reviewers at small firms and solo users describe building complex analytical workflows without a heavy programming background, though some at smaller companies flagged the pricing as hard to justify.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/gemini-enterprise-agent-platform"><strong>Gemini Enterprise Agent Platform</strong></a> - A few small-team reviewers like that it auto-trains a model after you upload data and offers no-code building, useful when nobody on the team writes ML code.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dataiku"><strong>Dataiku</strong></a> - A founder and a small-team manager both said the interface got people with little experience up and running quickly while keeping deeper capabilities available.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For the founders and small teams here, which of these got you to a working predictive model fastest without a data scientist on payroll? And did any of them get expensive faster than you expected as you grew?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 19 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;One thing to watch as a startup: the fastest path to a first model is not always the cheapest to keep. Also, price the scale-up before you commit.&lt;/p&gt;

##### Comment Metadata
- Posted at: 5 days ago
- Author title: Marketer





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