# What's the best data science platform for small business?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">We're looking into data science and machine learning platforms that are well-suited for small businesses. Ideally, the right platform should balance power and usability, offer collaboration features, and not require a massive infrastructure investment to get started.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Here are some of the top <a class="a a--md" elv="true" href="https://www.g2.com/categories/data-science-and-machine-learning-platforms">data science platforms</a> I’ve found so far. If you’ve worked with any of them, I’d love to hear what the experience was like.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-vertex-ai/reviews">Vertex AI</a>: Google’s fully managed platform for building, training, and deploying ML models. Strong option if you’re already using the Google Cloud ecosystem.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/databricks-data-intelligence-platform/reviews">Databricks Data Intelligence Platform</a>: Combines data engineering and collaborative notebooks. Great for small teams scaling up analytics and AI workloads.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/deepnote/reviews">Deepnote</a>: Real-time collaborative notebooks with an intuitive interface. Designed for teams that want to share and iterate quickly on data projects.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dataiku/reviews">Dataiku</a>: End-to-end platform for data prep, ML modeling, and deployment. Useful if you’re looking for no-code options and collaboration between data and business teams.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews">Saturn Cloud</a>: Scalable cloud environment for Python and Jupyter users. Tailored for teams using large datasets and parallel compute, without DevOps overhead.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">If you’ve used any of these tools or something similar, I’d love to hear how they performed, what the learning curve was like, and which features made the biggest difference for your team.</p>

##### Post Metadata
- Posted at: about 1 year ago
- Author title: BBCOR Tester
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Vertex seems like a solid choice, obviously great if you&#39;re already in the Google ecosystem &lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 year ago
- Author title: G2 user since 2020





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