9 docs tagged with "integrations"

Build a Spring Boot RESTful service backed by Apache Ignite, using Spring Data repositories, DTOs, a service layer, and a REST controller over the World database.

Build a Micronaut microservice backed by an Apache Ignite in-memory database, then deploy the service and a two-node cluster in Docker.

Build a visual RAG application on Langflow, using GridGain 8 vector search with HNSW as the vector store and chat memory, no code required.

Use GridGain 8 as a low-latency Feast online store for real-time machine learning feature serving, illustrated with a CGM glucose-prediction demo.

Use GridGain 8 distributed vector search as the unified backend for a LangChain RAG application, with a working laptop-recommendation demo.

Serve BigQuery ML predictions with sub-millisecond latency by caching them in GridGain 8, using a Google Analytics product recommendation demo as the reference.

Batch-export GridGain 8 data to an Apache Iceberg table in AWS Glue and Amazon S3 with COPY FROM ... INTO, query it in Athena, then import it back.

Run Kafka on Amazon MSK with the GridGain Kafka Connector on EC2 to source and sink data between MSK and a GridGain cluster in AWS.

Build a serverless Azure Function that uses an Apache Ignite cluster on AKS as an in-memory database and compute engine, via the Java thin client and REST API.