# Top big data analytics solutions for e-commerce

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi everyone! I’m exploring <a class="a a--md" elv="true" href="https://www.g2.com/categories/big-data-analytics"><strong>big data analytics platforms</strong></a> that are particularly effective for e-commerce businesses. We need tools that can handle customer behavior data, transaction volumes, and marketing insights, all while supporting predictive analytics for personalization and demand forecasting. Bonus points if the platform integrates well with e-commerce platforms like Shopify, Magento, or Salesforce Commerce Cloud.</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 a few options I’m looking at based on G2 reviews in the Big Data Analytics category:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/databricks-data-intelligence-platform/reviews"><strong>Databricks Lakehouse Platform</strong></a>: Combines data engineering, machine learning, and analytics in one place. For those using it in e-commerce, how effective has it been at unifying customer and sales data for predictive insights?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-cloud-bigquery/reviews"><strong>Google BigQuery</strong></a>: A serverless cloud data warehouse designed for massive datasets. Curious if anyone has used BigQuery to handle real-time e-commerce transaction data and feed it into personalization engines.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/azure-synapse-analytics/reviews"><strong>Microsoft Azure Synapse Analytics</strong></a>: Integrates data warehousing and big data analytics with strong AI/ML support. For teams on Azure, does it deliver fast enough insights for campaigns and customer segmentation in e-commerce?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/qlik-sense/reviews"><strong>Qlik Sense</strong></a>: Provides self-service data visualization and associative exploration. Has anyone here used Qlik for analyzing shopping behavior and converting those insights into marketing or merchandising strategies?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sas-visual-analytics/reviews"><strong>SAS Visual Analytics</strong></a>: Offers advanced predictive modeling and machine learning. For e-commerce teams, does SAS provide enough agility for rapidly changing customer data and seasonal demand spikes?</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">If your company has worked with any of these, or switched between them. I’d love to hear what influenced your decision. Which features proved most valuable for e-commerce analytics, and would you pick the same tool again today?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Thanks in advance for your insights!</p>

##### Post Metadata
- Posted at: 8 months ago
- Author title: Industry Analyst
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Looking for more enterprise platforms to use? https://www.g2.com/categories/big-data-analytics/enterprise&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 months ago
- Author title: Industry Analyst





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