Apache NiFi
Apache NiFi is a dataflow management system designed to automate the flow of data between systems. It provides a web-based user interface for designing, controlling, and monitoring data flows with real-time operational control, data provenance tracking, and support for hundreds of processors. NiFi Version 2 is the current major version with enhanced security and performance.
Apache NiFi publishes 4 APIs on the APIs.io network, including Access API, Connections API, Controller Services API, and 1 more. Tagged areas include Data Integration, Dataflow, ETL, IoT, and Streaming.
Apache NiFi’s developer surface includes authentication, developer portal, engineering blog, and 13 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache NiFi Registry
NiFi Registry provides a central location for storage and management of shared NiFi flow resources, enabling versioned flows across NiFi environments. It provides its own REST A...
Apache MiNiFi
MiNiFi is a lightweight agent for edge data collection that is a subproject of NiFi. MiNiFi C++ (nifi-minifi-cpp) provides a small-footprint agent for IoT edge data collection w...
Apache NiFi Access API
Authentication and access token management
Apache NiFi Connections API
Manage connections between processors
Apache NiFi Controller Services API
Manage shared controller services
Apache NiFi Flow API
Read overall flow status and process group hierarchy
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apache NiFi REST API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Nifi Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Nifi Finops
FINOPSFeatures 10
Notable capabilities this provider offers.
Visual Dataflow Designer
Browser-based drag-and-drop interface for designing, controlling, and monitoring data flows without coding.
Data Provenance Tracking
Complete lineage tracking of every piece of data that flows through the system from ingestion to destination.
Hundreds of Built-in Processors
Extensive library of processors for data ingestion, transformation, routing, and delivery to diverse systems and cloud platforms.
Guaranteed Delivery
Loss-tolerant and guaranteed delivery options with configurable prioritization and backpressure control.
REST API
Comprehensive JWT-authenticated REST API for programmatic management of all NiFi resources and operations.
Flow Versioning
Version control for data flows via NiFi Registry, enabling flow promotion across development, test, and production environments.
Multi-Tenant Security
Fine-grained multi-tenant authorization with HTTPS, TLS, and SSH support for secure deployments.
Clustering
Zero-master cluster architecture for high-availability and load-balanced dataflow execution.
Parameter Contexts
Externalize configuration using parameter contexts that can be applied across multiple processors and process groups.
MiNiFi Edge Agents
Lightweight MiNiFi agents for edge data collection at IoT endpoints, managed centrally from NiFi.
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Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers build with this provider.
Data Ingestion Pipelines
Build pipelines ingesting data from files, databases, message queues, cloud storage, and APIs into data lakes and warehouses.
Cybersecurity Data Collection
Collect and route security telemetry, logs, and threat intelligence feeds for SIEM and analytics platforms.
IoT Edge Data Collection
Deploy MiNiFi agents at IoT edge locations to collect, filter, and forward sensor data to central NiFi clusters.
Real-Time Event Streaming
Build event streaming pipelines consuming from Kafka, Kinesis, and other message brokers for real-time data processing.
Generative AI Data Pipelines
Build data preparation and vector database ingestion pipelines for generative AI and RAG applications.
Cloud Data Integration
Move and transform data between AWS, Azure, and GCP services with built-in cloud processor libraries.
Integrations 8
Pre-built integrations with other platforms and tools.
Apache Kafka
Native ConsumeKafka and PublishKafka processors for streaming data between NiFi and Kafka topics.
Amazon S3
PutS3Object and FetchS3Object processors for reading and writing data to AWS S3 buckets.
Azure Blob Storage
PutAzureBlobStorage and FetchAzureBlobStorage processors for Azure cloud storage integration.
Google Cloud Storage
Native GCS processors for reading and writing Google Cloud Storage objects.
MongoDB
PutMongo and GetMongo processors for reading and writing documents to MongoDB collections.
Elasticsearch
PutElasticsearchRecord and FetchElasticsearch processors for indexing and querying Elasticsearch.
Salesforce
Native Salesforce processors for querying and publishing data to Salesforce CRM.
Apache MQTT
ConsumeMQTT and PublishMQTT processors for IoT messaging protocol support.
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Resources
Get Started 1
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type