# What are the best platforms for managing large-scale relational databases?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I want to start a discussion focused on platforms for managing large-scale relational databases that teams are actually using and finding value in. While some tools lean enterprise, several offer capabilities and integrations that make sense for teams operating at high volume, high concurrency, and rapid growth.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">These are some of the top-rated options on G2’s <a class="a a--md" elv="true" href="https://www.g2.com/categories/database-management-systems-dbms">Database Management Systems (DBMS)</a> category: </p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/microsoft-sql-server/reviews"><strong>Microsoft SQL Server</strong></a>: Mature engine with proven large-scale features like Always On Availability Groups and broad tooling/driver support. For petabyte-class datasets, how have you balanced performance vs. licensing as cores and replicas grow? </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/snowflake/reviews"><strong>Snowflake</strong></a>: Cloud data platform with near-instant elasticity and strong ecosystem connectivity; often paired with apps that need massive relational storage and analytics. For operational workloads adjacent to warehousing, where has Snowflake shined—or struggled—at scale?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews"><strong>SAP HANA Cloud</strong></a>: In-memory, columnar database built for real-time processing and deep integration across SAP landscapes—strong fit when you need speed over very large relational datasets. For hybrid (SAP + non-SAP) stacks, how smooth is integration and ops at scale? </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 implemented any of these (or comparable platforms), I’d love to hear what worked well, what didn’t, and which approaches were surprisingly effective for managing very large relational databases.</p>

##### Post Metadata
- Posted at: 9 months ago
- Author title: Content Marketing Specialist
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Some other tools being mentioned in the space and listed on G2 are &lt;a href=&quot;https://www.g2.com/products/google-cloud-sql/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;Google Cloud SQL&lt;/a&gt; and &lt;a href=&quot;https://www.g2.com/products/sql-developer/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;SQL Developer&lt;/a&gt;. &lt;/p&gt;

##### Comment Metadata
- Posted at: 9 months ago
- Author title: Content Marketing Specialist





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: about 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: about 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: about 13 years ago
  - Comments: 4