Sold by: The Globalsolutions
Deployed on AWS
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Get a jump-start on your AI development with a production-ready MariaDB Vector Database deployment. This package features native high dimensional vector search seamlessly integrated directly into the core, high-performance MariaDB engine, eliminating the need for a separate vector database stack
Overview
This package features native high dimensional vector search seamlessly integrated directly into the core, high-performance MariaDB engine, eliminating the need for a separate vector database stack. To help you build and test immediately, GlobalSolutions has pre-installed functional sample datasets directly into the database. You can instantly run semantic search scripts, test vector indexing speeds, and connect your RAG or LLM pipelines right out of the box without wasting time building infrastructure.
Highlights
- Start building your RAG pipeline in MariaDB
- Subscribe to a fully built Vector DB
- Vectorize in data along with the data
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26
Deployed on AWS
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Pricing
Free trial
Try this product free for 10 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.small Recommended | $0.06 |
m6a.xlarge | $0.06 |
t3a.small | $0.06 |
m7a.2xlarge | $0.06 |
m6a.2xlarge | $0.06 |
t3.large | $0.06 |
m7a.medium | $0.06 |
t3a.large | $0.06 |
m7a.4xlarge | $0.06 |
m6a.4xlarge | $0.06 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. Pricing is not tiered by features. Instead, each dimension maps to a specific instance type, so your cost scales with the compute capacity you choose. The t3 and t3a options cover smaller sizes: small, medium, and large. The m6a and m7a options cover larger sizes, from medium and large up through 2xlarge, 4xlarge, and 8xlarge. Larger instances carry higher hourly rates. You are billed hourly for as long as the instance runs, alongside standard AWS infrastructure charges.
Top-of-mind questions for buyers
Each dimension maps to one EC2 instance running the Maria Vector DB software with sample data. The instance type sets the compute and memory you get. For example, t3.small provides a small footprint, while m7a.8xlarge provides much more compute. You run one instance per hour billed.
The software charge meters running time by the hour. A fully stopped instance does not accrue software charges. However, stopped instances may still incur standard AWS storage fees for attached volumes. The hourly software rate applies only while the instance runs.
You pay two charges on the same AWS bill. The first is the hourly software rate tied to your chosen instance type. The second is standard AWS infrastructure cost, such as compute and storage. Both accrue while the instance runs and appear as line items on your monthly invoice.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Support
Vendor support
Please contact support@theglobalsolutions.net for any questions.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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