Managed data integration service built on Apache NiFi for batch and streaming movement of structured and unstructured data into Snowflake, deployable inside Snowflake (all clouds) or in the customer VPC (BYOC, AWS only).
Jurisdictional exposure
Sub-services (3)
Openflow Snowflake Deployments
Runtimes hosted on Snowpark Container Services compute pools
Openflow BYOC
Data plane in the customer's cloud with a Snowflake-managed control plane
Openflow Connectors
Prebuilt connectors for databases, SaaS apps, Kafka and Kinesis
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Where this runs
Sovereign regions (5)
- US East (Commercial Gov - N. Virginia) · AshburnSnowflake on AWS FedRAMP Moderate / DoD IL4 (US)
- US Gov West 1 (FedRAMP High Plus) · San Francisco Bay AreaSnowflake SnowGov (AWS GovCloud: FedRAMP High Plus / DoW)
- US Gov East 1 (FedRAMP High Plus) · ColumbusSnowflake SnowGov (AWS GovCloud: FedRAMP High Plus)
- US Gov Virginia (FedRAMP High Plus) · VirginiaSnowflake SnowGov (Azure Government: FedRAMP High Plus)
- US West (Commercial Gov - Oregon) · BoardmanSnowflake Commercial Gov (US)
Commercial regions (48)
Europe (14)
- EU (Paris)
- EU (Frankfurt)
- Europe West 3 (Frankfurt)
- EU (Ireland)
- North Europe (Ireland)
- West Europe (Netherlands)
- Europe West 4 (Netherlands)
- Sweden Central (Gävle)
- EU (Stockholm)
- EU (Zurich)
- Switzerland North (Zurich)
- Europe (London)
- UK South (London)
- Europe West 2 (London)
North America (13)
- Canada (Central)
- Canada Central
- Mexico Central (Querétaro)
- US East (N. Virginia)
- US East 4 (Virginia)
- East US 2 (Virginia)
- East US (Virginia)
- US East (Ohio)
- US Central 1 (Iowa)
- Central US (Iowa)
- US West (Oregon)
- West US 2 (Washington)
- South Central US (Texas)
South America (1)
- South America (São Paulo)
Asia (12)
- Asia Pacific (Mumbai)
- Central India (Pune)
- Asia Pacific (Jakarta)
- Asia Pacific (Osaka)
- Asia Pacific (Tokyo)
- Japan East (Tokyo)
- Asia Pacific (Malaysia)
- Asia Pacific (Singapore)
- Southeast Asia (Singapore)
- Asia Pacific (Seoul)
- Korea Central (Seoul)
- Asia Pacific (Thailand)
Oceania (4)
- Australia Southeast 2 (Melbourne)
- Asia Pacific (Sydney)
- Australia East (Sydney)
- Asia Pacific (New Zealand)
Middle East (3)
- Middle East Central 2 (Dammam)
- Middle East (UAE)
- UAE North (Dubai)
Africa (1)
- Africa (Cape Town)
Tags
Equivalent services on other platforms
End-to-end data development platform over MaxCompute, EMR, and Hologres with visual and SQL-based task authoring, scheduled pipelines, data quality rules, data lineage, and a built-in business-glossary catalog
Serverless data integration platform with visual ETL authoring via Glue Studio, a Hive-compatible Data Catalog, automatic crawlers, DataBrew visual prep, and Glue Data Quality for declarative rule-based validation across Spark and Python jobs
Managed streaming ETL that captures data from Kinesis / Kafka / DirectPUT clients, buffers + optionally transforms it via Lambda, and writes to S3 / Redshift / OpenSearch / third-party sinks — no operators to manage. Formerly branded Amazon Kinesis Data Firehose
Managed SaaS-to-AWS data-integration — pre-built connectors for Salesforce, ServiceNow, Slack, Google Analytics, Jira, and 50+ others sync data on schedules or events into S3 / Redshift / Snowflake without custom pipelines
Managed ETL and ELT service for data integration at scale with 100+ connectors, visual pipeline designer, mapping data flows, and triggers for event-driven orchestration
Big data streaming platform and event ingestion service capable of millions of events per second with Kafka compatibility, Capture to Blob or Data Lake, and partition-based scaling
Ingest streaming events over HTTP or Worker bindings, validate and transform them with SQL, and write the results to Basin Catalog as Apache Iceberg tables or to R2 as Parquet/JSON files. Formerly Cloudflare Pipelines; generally available since October 2026.
Declarative ETL framework (formerly Delta Live Tables) for streaming and batch pipelines, built on Apache Spark Declarative Pipelines — define tables in SQL or Python and Databricks manages dependencies, retries, data-quality expectations and observability.
Managed ingestion connectors that load data from databases (CDC), SaaS applications (e.g. Salesforce, ServiceNow, Google Analytics), files and streams into Unity Catalog tables, with incremental change tracking after the initial load.
Unified stream and batch data processing service running Apache Beam pipelines with autoscaling, exactly-once semantics, and native sinks to BigQuery and Cloud Storage
Fully managed enterprise data integration service built on open-source CDAP, with a visual drag-and-drop pipeline builder, 150+ pre-built connectors and transformations, and GitOps-friendly pipeline export for hybrid ETL across Google Cloud and third-party data sources
Bidirectional sync between a Salesforce org and Heroku Postgres — schema mapping UI, real-time triggers, and back-pressure handling for million-row syncs
Managed ETL / ELT service for building visual pipelines that move and transform data between OCI Object Storage, Autonomous Database, ADW, and external sources — with Spark-based execution, incremental loads, and DataOps CI/CD via version-controlled workspaces
Moves data between OCI services, e.g. logs, metrics and stream messages to Object Storage, Streaming, Functions, Monitoring or third-party SIEMs, with optional filtering and function tasks.
Cloud data management platform (now 'Informatica from Salesforce') — data and application integration, data quality and observability, enterprise catalogue and lineage, and master data management, with CLAIRE AI automation