DataStax

AI Implementations & Use Cases

Use Cases

Industries

Countries

AI Agents

Hyperscaler mix

Filter DataStax's implementations by Microsoft, AWS, or GCP provider evidence.

How DataStax builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this partner's documented cases

100%

BuildBuyComposeMixed

2 of 2 cases classified (100%) · Compare all use-case types

Reported outcomes

1 case reports measurable results

+55%

Customer experience

median · 2 metrics

+80%

Adoption & scale

median · 1 metric

Medians of results published in DataStax cases, normalized for comparability. See all benchmarks →

All Use Cases (2)

SupPlant deploys IBM watsonx Orchestrate AI agents for smart irrigation insights (Plant ;)

SupPlant built Plant ;) to help small and medium-sized farmers access smart irrigation insights without installing hardware.The solution uses satellite images, unstructured sensor data, and AI agents to generate personalized weather and irrigation recommendations and to support agricultural sellers with lead identification.

AgricultureIsraelFeb 2026

Agent

GCP

Macquarie Bank: Enhanced Customer Spending Insights with DataStax Astra DB on Google Cloud

Macquarie Bank enhanced customer spending insights by enriching payment transaction data using DataStax Astra DB on Google Cloud alongside Google Kubernetes Engine, Apigee, Pub/Sub, and Dataflow.The bank used Astra DB to manage unstructured NoSQL data and integrated microservices and APIs to offer personalized transaction details including recognizable seller names, categories, and custom tags.Migrating to Astra DB’s managed service improved scalability, reliability, and operational efficiency, freeing up engineering resources to develop new digital banking services.Customers benefit from enriched, easily searchable transaction data and personalized spending insights, improving budgeting and financial control.

FinanceAustralia