Data Ingestion Integrations
Monitoring Integrations
Slack
OpsGenie
PagerDuty
Microsoft Teams
Airflow Retrain
Amazon EventBridge Retrain
MLOps Partner Integrations
Arize integrates with platforms across the MLOps toolchain. Don’t see a platform you use? Reach out to add yours or ask our team to help!| ML Platform | Description | Example Integration | Blog |
|---|---|---|---|
| Algorithmia | MLOps platform with APIs to serve, host and manage models | Colab Link | Blog |
| Anyscale | Integration tutorial for Anyscale’s LLM Endpoints offering | Colab Link | Blog |
| Azure ML & Databricks | Using Arize AX in an Azure ML Databricks workflow | Colab Link | — |
| Bento ML | Use Bento’s ML service platform to turn ML models into production-worthy prediction services | — | Tutorial Blog |
| CML | Integrate Arize into the CI/CD workflow - Run checks on every new model version | Example here | — |
| Deepnote | Deepnote is a Data Science Collaboration Platform | Deepnote Link | — |
| Feast | Monitor & Troubleshoot any data inconsistency issue with feature stores Arize AX | Colab Link | Blog |
| Google Cloud ML (Vertex AI) | Integrate Arize AX with Vertex AI | Available on Request | Blog |
| Hugging Face | Use Arize AX to monitor embeddings generated from Hugging Face NLP or Transformer models | Overview NLP Classification NLP NER Image Classification | Blog |
| Kafka | Use Arize Pandas SDK to consume micro-batches of predictions | Example here | Blog |
| MLFlow | Integrating Arize AX and MLflow to track the model across experimentation and deployment | Colab Link | Blog |
| Neptune | Integrate Arize AX on models built using Neptune | Colab Link | Blog |
| OpenAI | Build unstructured models with OpenAI | Colab Link (NLP) | Blog |
| Paperspace | Integrate Arize AX on models built using Paperspace | — | Blog |
| PySpark | To log Spark DataFrames using mapInPandas | Colab Link | — |
| Ray Serve (Anyscale) | Integrate Arize AX with Ray Serve at a single entry point during ray.serve.deployment | Overview | Blog |
| Sagemaker | Integration for both batch and real-time modes | Batch Real-Time | — |
| Spell | Combine Spell model servers with Arize AX model observability | Overview Colab Link | — |
| UbiOps | Integrate Arize AX with UbiOps for model observability and monitoring | Colab Link | Blog |
| Weights & Biases | Integrating Arize AX and W&B to track models across experimentation and deployment | Colab Link | — |