DataStax

Available Now

Best for Global enterprises building massive, high-throughput generative AI applications that require highly resilient, distributed vector database compute.

🏢 Santa Clara, CA📅 Since 2010★ 9.3/10🌐 Website ↗

DataStax (now part of IBM), originally famous for commercializing Apache Cassandra, has radically evolved into an enterprise cloud platform specifically engineered for generative AI. Their Astra DB cloud service provides a massive, globally distributed vector database, backed by highly optimized compute that can instantly index and query billions of vectors with millisecond latency. It is the critical infrastructure layer required by global enterprises building massive RAG (Retrieval-Augmented Generation) applications that demand real-time data ingestion without bottlenecks.

Pros & Cons

Pros
  • Industry-leading scalability built on Apache Cassandra
  • Incredibly fast real-time vector indexing and retrieval
  • Serverless deployment model across AWS, GCP, and Azure
Cons
  • Enterprise pricing model for massive throughput
  • Overkill for small, prototype RAG applications

Ideal Use Cases

Distributed DataEnterprise Vector DatabasesReal-time RAG
GPU ModelsDistributed Vector Compute, High-IOPS
GPU TypesDistributed Vector Compute, High-IOPS
HeadquartersSanta Clara, CA
Founded2010
AvailabilityAvailable Now
Websitedatastax.com ↗
$25.00/ hour (starting)$250.00/ hr (max)

💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →

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Global (Multi-Cloud)
Compute Power9.4
Network Speed9.6
Storage I/O9.8
Uptime SLA99
Support Quality9.5
Value for Money9.0
Starting from
$25.00/hr
Up to $250.00/hr
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Frequently Asked Questions

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