# What are the top machine learning platforms for mobile app developers?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Mobile app developers are increasingly integrating machine learning into their apps for features like personalization, image recognition, recommendation systems, and natural language processing. The right platform needs to offer reliable APIs, mobile-friendly deployment options, and support for real-time inference.</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 <a class="a a--md" elv="true" href="https://www.g2.com/categories/data-science-and-machine-learning-platforms">machine learning platforms</a> that mobile teams are using to bring ML into their apps. Curious to hear which tools worked best for your use cases.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-vertex-ai/reviews">Vertex AI</a>: Fully managed ML platform on Google Cloud. Supports model deployment via APIs and integrates well with Firebase and Android toolchains.</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>: Cloud-native environment for ML development and model serving. Works well for teams building backends that power real-time app experiences.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/deepnote/reviews">Deepnote</a>: Collaborative notebook platform for experimentation and analysis. Useful for early prototyping and testing before deploying models into mobile environments.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dataiku/reviews">Dataiku</a>: Offers deployment and scoring options that can be connected to mobile apps via REST APIs. Supports a mix of code and no-code development for ML pipelines.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews">Saturn Cloud</a>: Scalable compute environment for building and testing ML models in Python. Often used for training models before deploying to cloud endpoints used by mobile apps.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Which of these platforms—or others—has made it easier to bring machine learning into your mobile applications? Looking for feedback on performance, ease of integration, and real-time response capabilities.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Let me know if you want a variant aimed at iOS developers, real-time ML features, or smaller teams.</p>

##### Post Metadata
- Posted at: 11 months ago
- Author title: BBCOR Tester
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’ve heard Vertex AI and Databricks Data Intelligence Platform are strong options for mobile app developers using machine learning. Curious which one works better for real-time inference and scaling across devices. You can explore more ML platforms here: https://www.g2.com/categories/machine-learning.&lt;/p&gt;

##### Comment Metadata
- Posted at: 11 months ago
- Author title: BBCOR Tester





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