# Which wide column databases have the best price-to-performance ratio for large-scale OLTP?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi G2! I've been comparing wide column databases on price-to-performance for large-scale OLTP, and one honest caveat first: reviews don't contain benchmark ratios, so instead of claiming a single winner, I'll go by the cost-efficiency themes reviewers actually describe: fewer nodes, open-source economics, and pay-for-what-you-use. These all sit in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/wide-column-database">Wide Column Database category</a> on G2.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/scylladb/reviews"><strong>ScyllaDB</strong></a><strong>:</strong> The strongest price-performance story in the reviews, its shard-per-core C++ architecture lets teams handle the same throughput on fewer nodes, which reviewers repeatedly tie to lower infrastructure cost while keeping low latency. The offset is a real learning curve on data modeling and tuning.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/cassandra/reviews"><strong>Cassandra</strong></a><strong>:</strong> Open source with no license cost and very high write throughput, which can be cost-effective for write-heavy OLTP if you have the ops skills. Reviewers note it needs a large node count and high per-node RAM, so self-managed running costs add up.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/amazon-keyspaces/reviews"><strong>Amazon Keyspaces</strong></a><strong>:</strong> Serverless and pay-for-what-you-use with auto-scaling, which suits variable OLTP load, though multiple reviewers call it pricier than other AWS options, so cost depends on tuning capacity mode.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/microsoft-azure-cosmos-db/reviews"><strong>Microsoft Azure Cosmos DB</strong></a><strong>:</strong> Predictable performance backed by SLAs, but reviewers are candid that the RU/s cost model can climb fast without careful throughput planning, so price-performance hinges on getting partitioning and capacity right.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For large-scale OLTP specifically, has "fewer nodes" actually beaten open-source-but-self-run on total cost for you, and where did the managed services' pricing surprise you? Real cost breakdowns welcome.</p>

##### Post Metadata
- Posted at: 5 days ago
- Author title: Marketing
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;The &quot;fewer nodes = lower cost&quot; argument for ScyllaDB makes sense on paper, but it really depends on whether your team has the expertise to tune it properly. If you&#39;re coming from Cassandra and don&#39;t invest time in data modeling, you won&#39;t get that efficiency. Open-source with a big node count can still win on total cost if you&#39;ve already got the DevOps knowledge in-house.&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 days ago
- Author title: SEO Content Specialist





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