DataStax Astra DB: $300 Free Trial
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Vector database with $300/year in free credits, built for AI apps that need fast semantic search.
DataStax Astra DB is a managed vector database purpose-built for generative AI workloads. You get $300 in annual credits plus 40GB of storage on the free tier—enough to prototype semantic search, RAG pipelines, and hybrid queries without hitting your wallet. The database handles vector indexing natively, integrates with LangChain and LlamaIndex out of the box, and connects to Bedrock and Vertex AI. It's built on Apache Cassandra, so it scales horizontally when you're ready. The main catch: credits expire annually, so you can't bank them, and the free tier caps throughput—fine for dev, tight for production testing. Best for founders building AI features who want a managed solution and don't want to self-host or wrangle embedding infrastructure.
Program details
Tier 1
Free
40 GB storage, $300/year credits, and basic support for startups and developers testing AI prototypes.
$300
click to collapse
Tier 1
Free
40 GB storage, $300/year credits, and basic support for startups and developers testing AI prototypes.
$300
click to collapseBenefits
- 40 GB storage
- $300/year in credits
- Basic support
- No credit card required
- Intuitive API access
Eligibility
- Startups
- Developers testing AI prototypes
How to apply
- 1
Pros
- ✓ $300 annual credits + 40GB storage, no credit card required to start
- ✓ Native vector search with LangChain/LlamaIndex integrations—plug-and-play for RAG
- ✓ Scales horizontally on Cassandra backbone; pay-as-you-go when you graduate the free tier
Cons
- ✗ Credits expire after 12 months—no rollover or banking
- ✗ Free tier throughput limits make production load testing difficult
- ✗ Requires learning Cassandra query patterns if you go beyond simple vector ops
Frequently asked questions
How does Astra DB improve RAG performance?
Can it handle real-time analytics?
What languages are supported?
Is data transfer between regions chargeable?
How does pricing compare to Pinecone?
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