[{"data":1,"prerenderedAt":1271},["ShallowReactive",2],{"blog-\u002Fblog\u002F2025\u002F12\u002Fkafka-vs-mqtt":3,"featureCatalog":341,"changelog-titles":736,"blog-all-for-related":1270},{"id":4,"title":5,"authors":6,"body":8,"cta":317,"date":318,"description":319,"extension":320,"features":317,"image":321,"lastUpdated":322,"meta":323,"navigation":329,"path":330,"release":317,"seo":331,"sitemap":332,"stem":333,"subtitle":334,"tags":335,"tldr":339,"video":317,"__hash__":340},"blog\u002Fblog\u002F2025\u002F12\u002Fkafka-vs-mqtt.md","MQTT vs Kafka: Complete Comparison Guide 2026",[7],"sumit-shinde",{"type":9,"value":10,"toc":299},"minimark",[11,15,20,23,26,33,61,64,71,77,83,86,90,93,96,102,105,108,111,115,120,123,126,130,133,136,140,143,146,150,153,165,168,172,175,178,186,190,193,198,220,225,245,248,252,255,258,271,274,289,293,296],[12,13,14],"p",{},"Building IoT systems means making hard choices about how messages flow through your infrastructure. Apache Kafka and MQTT couldn't be more different in their approaches. MQTT came from the world of sensors and resource-constrained devices. Kafka was designed to push massive data streams between backend systems. Getting this choice right early determines whether your architecture scales smoothly or hits a wall.",[16,17,19],"h2",{"id":18},"what-makes-mqtt-different","What Makes MQTT Different",[12,21,22],{},"MQTT (Message Queuing Telemetry Transport) showed up in 1999 when engineers needed to monitor oil pipelines with SCADA systems over unreliable satellite links. The whole point was squeezing messages through terrible networks without killing battery life.",[12,24,25],{},"The protocol uses binary encoding with headers as small as 2 bytes. That's it. This matters when you're running on an ESP32 with 520KB of RAM or sending data over a 2G connection that costs per kilobyte. MQTT runs over TCP\u002FIP and supports TLS when you need encryption.",[12,27,28],{},[29,30],"img",{"alt":31,"src":32},"Image: How MQTT Works","\u002Fblog\u002F2025\u002F12\u002Fimages\u002Fmqtt.png",[12,34,35,36,40,41,44,45,48,49,52,53,56,57,60],{},"Here's how it works: A central broker sits in the middle. Devices publish messages to topics like ",[37,38,39],"code",{},"factory\u002Fline-1\u002Ftemperature",". Other devices subscribe to those topics. The broker figures out who gets what. Topics use forward slashes to create hierarchies, so you can subscribe to ",[37,42,43],{},"factory\u002F#"," and catch everything happening in the factory. You can also use wildcards: ",[37,46,47],{},"#"," matches multiple levels (like ",[37,50,51],{},"factory\u002F# ","for everything under factory), while ",[37,54,55],{},"+"," matches exactly one level (like ",[37,58,59],{},"sensors\u002F+\u002Ftemperature"," for temperature readings from any single sensor).",[12,62,63],{},"MQTT has three Quality of Service levels:",[12,65,66,70],{},[67,68,69],"strong",{},"QoS 0"," - Fire and forget. Send the message once, hope it arrives. No acknowledgment, no retry. Fast but unreliable.",[12,72,73,76],{},[67,74,75],{},"QoS 1"," - At least once delivery. The broker acknowledges receipt and retries if needed. You might get duplicates.",[12,78,79,82],{},[67,80,81],{},"QoS 2"," - Exactly once through a four-way handshake. Slowest but guaranteed.",[12,84,85],{},"Pick based on what you're sending. Temperature readings every 10 seconds? QoS 0 is fine. Critical alarm messages? QoS 2.",[16,87,89],{"id":88},"how-kafka-works","How Kafka Works",[12,91,92],{},"LinkedIn built Kafka in 2011 because they were drowning in activity streams and operational metrics. Traditional message queues couldn't keep up. So they designed something that acts more like a distributed database than a message broker.",[12,94,95],{},"Kafka organizes everything into topics, and topics split into partitions. Each partition is just an ordered log of messages that never changes once written. Producers append messages to the end. Consumers track where they are in each partition using offsets. Multiple producers and consumers can hammer different partitions simultaneously, which is how Kafka gets ridiculous throughput.",[12,97,98],{},[29,99],{"alt":100,"src":101},"Image: How Kafka Works","\u002Fblog\u002F2025\u002F12\u002Fimages\u002Fkafka.png",[12,103,104],{},"The architecture spreads partitions across multiple broker servers. Each partition gets replicated to other brokers based on your replication factor. If a broker crashes, another one takes over for its partitions immediately. No data loss, no downtime.",[12,106,107],{},"Unlike MQTT, messages don't disappear after delivery. Everything writes to disk. You configure retention policies, keep messages for 7 days, 30 days, or forever. This means you can replay messages, let new consumers read historical data, or reprocess everything if your analytics code had a bug.",[12,109,110],{},"Early Kafka needed Apache Zookeeper for cluster coordination, which added complexity. Recent versions support KRaft mode that removes this dependency, though many production systems still run Zookeeper.",[16,112,114],{"id":113},"the-real-differences","The Real Differences",[116,117,119],"h3",{"id":118},"architecture-philosophy","Architecture Philosophy",[12,121,122],{},"MQTT keeps things simple with a central broker. Devices connect, the broker routes messages, everyone's happy. You can get started with a single Raspberry Pi running Mosquitto. The 2-byte headers and compact binary format mean your sensor data flows efficiently even on constrained networks.",[12,124,125],{},"Kafka is distributed by design. Topics partition across brokers. Consumers track offsets themselves. Everything replicates for fault tolerance. You need coordination infrastructure (Zookeeper or KRaft), multiple brokers for production, and someone who knows distributed systems. But this complexity buys you throughput that single-broker systems simply can't match.",[116,127,129],{"id":128},"performance-reality","Performance Reality",[12,131,132],{},"MQTT delivers messages in milliseconds. It runs on microcontrollers with kilobytes of RAM. A sensor reading might be 10-20 bytes including protocol overhead. A decent broker handles thousands to tens of thousands of messages per second, which works fine when you have hundreds of thousands of devices sending data every few seconds.",[12,134,135],{},"Kafka sacrifices latency for volume. Messages take tens to hundreds of milliseconds because of disk writes, replication, and consumer polling. But a single broker can handle hundreds of thousands of messages per second. Clusters process billions daily. You need real hardware, multiple cores, 32GB+ memory, fast SSDs, but you get data movement at enterprise scale.",[116,137,139],{"id":138},"how-messages-get-delivered","How Messages Get Delivered",[12,141,142],{},"MQTT's three QoS levels give you options. QoS 0 is fast but lossy. QoS 1 guarantees delivery but might duplicate. QoS 2 does exactly-once with a four-way handshake. Brokers can queue messages for offline subscribers, but they're not designed for long-term storage.",[12,144,145],{},"Kafka writes everything to disk based on your retention policy. Producers pick acknowledgment levels: wait for the leader broker (fast, less safe) or wait for all replicas (slower, fully durable). Consumers commit offsets after processing messages. Modern Kafka supports exactly-once semantics through transactions and idempotent producers. The persistence model enables message replay and handles consumer failures completely differently than MQTT.",[116,147,149],{"id":148},"running-this-stuff-in-production","Running This Stuff in Production",[12,151,152],{},"Setting up an MQTT broker is straightforward. You can start with something like Mosquitto for development, or choose from production-ready brokers that support clustering and high availability. Configure authentication, add redundancy as needed, and monitor connection counts, message rates, and queue depths, most brokers expose metrics via REST APIs or monitoring endpoints.",[154,155,156],"blockquote",{},[12,157,158,159,164],{},"FlowFuse includes a managed MQTT broker built right into the platform, no separate infrastructure to set up or maintain. It connects directly with your Node-RED flows, so you can publish and subscribe to topics without leaving the environment. Check out the ",[160,161,163],"a",{"href":162},"\u002Fblog\u002F2025\u002F10\u002Fplc-to-mqtt-using-flowfuse\u002F#step-3-set-up-mqtt-with-flowfuse","details"," to see how it works.",[12,166,167],{},"Kafka demands more. You need at least three brokers plus coordination services. Monitor partition distribution, replication lag, consumer group status, disk usage. Plan capacity for both storage and network bandwidth. Rolling upgrades require care. Partition reassignment needs coordination. The learning curve is real, but the system handles failures gracefully once you understand it.",[116,169,171],{"id":170},"where-to-use-each-one","Where to Use Each One",[12,173,174],{},"MQTT dominates in manufacturing plants with sensor networks, building automation, remote sites on cellular connections, and fleet tracking. It's the right call when devices have limited CPU and memory, networks constrain bandwidth, you're dealing with thousands of messages per second, and you don't need long-term storage.",[12,176,177],{},"Kafka powers financial transaction processing, e-commerce backends, infrastructure monitoring at scale, and data engineering pipelines. Use it when message volumes hit hundreds of thousands per second, multiple systems need independent access to the same data stream, you need replay capabilities, or you're feeding data into analytics platforms.",[12,179,180],{},[181,182,183],"em",{},[67,184,185],{},"Most real systems use both. MQTT handles the edge, Kafka moves data between central systems. You see this pattern everywhere, MQTT at factory sites, Kafka in the data center.",[16,187,189],{"id":188},"making-the-choice","Making the Choice",[12,191,192],{},"Here's how to think about it:",[12,194,195],{},[67,196,197],{},"Pick MQTT when:",[199,200,201,205,208,211,214,217],"ul",{},[202,203,204],"li",{},"Your devices are resource-constrained (microcontrollers, embedded systems)",[202,206,207],{},"Network bandwidth is limited or expensive",[202,209,210],{},"You're handling thousands of messages per second",[202,212,213],{},"Simple deployment matters",[202,215,216],{},"You need efficient edge device communication",[202,218,219],{},"Long-term message storage isn't a requirement",[12,221,222],{},[67,223,224],{},"Pick Kafka when:",[199,226,227,230,233,236,239,242],{},[202,228,229],{},"Message volumes hit hundreds of thousands per second or more",[202,231,232],{},"Multiple applications need independent access to message streams",[202,234,235],{},"You need message replay or event sourcing capabilities",[202,237,238],{},"Stream processing is part of the architecture",[202,240,241],{},"Integration with big data tools matters",[202,243,244],{},"Your ops team knows distributed systems",[12,246,247],{},"Neither is \"better.\" They solve different problems. Your requirements drive the decision.",[16,249,251],{"id":250},"integrating-mqtt-and-kafka","Integrating MQTT and Kafka",[12,253,254],{},"As mentioned, real production systems don’t choose between these, they use both. Devices and sensors typically publish data over MQTT, while analytics platforms, data lakes, and stream processors consume events from Kafka. The real challenge lies in bridging the two reliably and cleanly.",[12,256,257],{},"Most teams write custom bridge services or deploy Kafka Connect with MQTT source connectors. Custom bridges give you complete control but require development and maintenance. Kafka Connect reduces code but adds configuration complexity, especially when you need transformation logic beyond simple field mapping.",[12,259,260,261,265,266,270],{},"FlowFuse takes a different approach using Node-RED's visual programming model. ",[160,262,264],{"href":263},"\u002Fblog\u002F2024\u002F06\u002Fhow-to-use-mqtt-in-node-red\u002F","MQTT"," and ",[160,267,269],{"href":268},"\u002Fblog\u002F2024\u002F03\u002Fusing-kafka-with-node-red\u002F","Kafka"," nodes connect through flows that define routing and transformation logic. The platform manages protocol connections and flow execution without separate bridge infrastructure.",[12,272,273],{},"As mentioned before, FlowFuse includes a managed MQTT broker built directly into the platform. Beyond MQTT and Kafka, it supports industrial protocols like Modbus, OPC UA, and HTTP. Device connections, message processing, and Kafka integration all happen in one environment. You get built-in version control, deployment management, team collaboration, and much more.",[12,275,276,277,283,284,288],{},"FlowFuse offers a free trial for testing MQTT-Kafka workflows. ",[160,278,282],{"href":279,"rel":280},"https:\u002F\u002Fapp.flowfuse.com\u002F",[281],"nofollow","Start building"," or ",[160,285,287],{"href":286},"\u002Fcontact-us\u002F","schedule a consultation"," to discuss your specific needs.",[16,290,292],{"id":291},"conclusion","Conclusion",[12,294,295],{},"MQTT and Kafka solve different problems. MQTT gives you efficient device connectivity with minimal overhead. Kafka delivers high-throughput event streaming with persistence and replay.",[12,297,298],{},"Understanding these differences helps you pick the right tool for the job. Most production systems use both, leveraging each where it provides the most value. Base your decision on message volumes, device capabilities, operational requirements, and team expertise, not on whatever's trending on Hacker News.",{"title":300,"searchDepth":301,"depth":301,"links":302},"",4,[303,305,306,314,315,316],{"id":18,"depth":304,"text":19},2,{"id":88,"depth":304,"text":89},{"id":113,"depth":304,"text":114,"children":307},[308,310,311,312,313],{"id":118,"depth":309,"text":119},3,{"id":128,"depth":309,"text":129},{"id":138,"depth":309,"text":139},{"id":148,"depth":309,"text":149},{"id":170,"depth":309,"text":171},{"id":188,"depth":304,"text":189},{"id":250,"depth":304,"text":251},{"id":291,"depth":304,"text":292},null,"2025-12-17","MQTT vs Kafka comparison guide: Discover the key differences between Apache Kafka and MQTT messaging protocols. Learn which is best for IoT, industrial automation, and real-time data streaming with practical examples and use cases","md","\u002Fblog\u002F2025\u002F12\u002Fimages\u002Fkafka-vs-mqtt.png","2026-06-17",{"keywords":324,"excerpt":325},"Kafka vs MQTT, MQTT vs Kafka, Apache Kafka, MQTT protocol, IoT messaging, message broker comparison, pub-sub messaging, event streaming, industrial IoT, real-time messaging, IoT protocols, messaging protocol comparison, Kafka MQTT differences",{"type":9,"value":326},[327],[12,328,14],{},true,"\u002Fblog\u002F2025\u002F12\u002Fkafka-vs-mqtt",{"title":5,"description":319},{"loc":330},"blog\u002F2025\u002F12\u002Fkafka-vs-mqtt","Compare features, performance, and use cases to choose the right protocol",[336,337,338],"flowfuse","mqtt","kafka","MQTT is a lightweight pub\u002Fsub protocol built for resource-constrained IoT devices and unreliable networks, delivering low-latency messages with minimal overhead. Kafka is a distributed event streaming platform built for high-throughput, persistent data movement between backend systems, with message replay at the cost of higher latency and operational complexity. Neither is universally better: choose MQTT for edge device connectivity and Kafka for large-scale data processing. Most production systems use both, with MQTT at the edge and Kafka in the backend, bridged through tools like FlowFuse.","4U0DfeEcdx3WWrYWL4sS10m4E1iXpSaEpaYbG2L6V2Y",{"id":342,"extension":343,"meta":344,"sections":345,"stem":734,"__hash__":735},"featureCatalog\u002Ffeature-catalog.yml","yml",{},[346,397,498,560,637,716],{"id":347,"title":348,"features":349},"ai-automation","AI & Automation",[350,360,370,380,386,392],{"id":351,"title":352,"description":353,"docsLink":354,"changelog":355,"tiers":359},"flowfuse-expert-ai","FlowFuse Expert AI","Build industrial apps with agents, and query the state of the factory with an agent. Adapt your current hardware and machines so agentic work can be done against them, without ripping and replacing what's already on the plant floor.","\u002Fdocs\u002Fuser\u002Fexpert\u002F",[356],{"url":357,"release":358},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-update-banner\u002F","2.28",{"edge":329,"hub":329,"fleet":329},{"id":361,"title":362,"description":363,"docsLink":364,"changelog":365,"subfeature":329,"showOnPricing":368,"tiers":369},"flowfuse-expert-support-mode","Support Mode","Chat-based assistance for FlowFuse and Node-RED, including Node-RED instance management through natural language.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#support-mode",[366],{"url":367,"release":358},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-debug-log-context\u002F",false,{"edge":329,"hub":329,"fleet":329},{"id":371,"title":372,"description":373,"docsLink":374,"changelog":375,"subfeature":329,"showOnPricing":368,"tiers":379},"flowfuse-expert-application-building","Application Building","Describe what you want to build and FlowFuse Expert assembles it on your workspace, adding tabs, wiring nodes, and configuring properties.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F",[376],{"url":377,"release":378},"\u002Fchangelog\u002F2026\u002F05\u002Fexpert-application-building\u002F","2.30",{"edge":329,"hub":329,"fleet":329},{"id":381,"title":382,"description":383,"docsLink":384,"subfeature":329,"beta":329,"showOnPricing":368,"tiers":385},"flowfuse-expert-insights-mode","Insights Mode","Connects FlowFuse Expert to MCP servers in your Node-RED instances, enabling real-time data queries and actions through a single chat interface.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#insights-mode",{"edge":329,"hub":329,"fleet":329},{"id":387,"title":388,"description":389,"docsLink":390,"tiers":391},"mcp-servers","Agentic Operations","Expose your Node-RED flows as tools an AI agent can call directly, so agents can query the state of the factory or trigger actions without custom integration work.","\u002Fnode-red\u002Fflowfuse\u002Fmcp\u002F",{"edge":329,"hub":329,"fleet":329},{"id":393,"title":394,"description":395,"tiers":396},"onnx-integration","ONNX Integration","Run trained machine learning models directly in your flows, including on edge hardware, without sending data out to an external inference service.",{"edge":329,"hub":329,"fleet":329},{"id":398,"title":399,"features":400},"build","Build",[401,407,413,423,429,435,439,445,451,459,465,469,473,482,490],{"id":402,"title":403,"description":404,"docsLink":405,"tiers":406},"edge-development","Edge Development","Develop and test Node-RED flows directly on edge devices with a remote editor proxy.","\u002Fdocs\u002Fdevice-agent\u002Fquickstart\u002F",{"edge":329,"hub":368,"fleet":329},{"id":408,"title":409,"description":410,"docsLink":411,"tiers":412},"private-npm-registry","Custom Node-RED Nodes","Create and manage your own private npm registry for Node-RED nodes, so you can share custom nodes across your team and devices without publishing them publicly.","\u002Fdocs\u002Fuser\u002Fcustom-npm-packages\u002F",{"edge":329,"hub":329,"fleet":329},{"id":414,"title":415,"description":416,"docsLink":417,"changelog":418,"tiers":422},"flowfuse-tables","FlowFuse Tables","A managed PostgreSQL database for every application, so you can store and query structured data without standing up and maintaining your own database.","\u002Fdocs\u002Fuser\u002Fff-tables\u002F",[419],{"url":420,"release":421},"\u002Fchangelog\u002F2026\u002F07\u002Fexpert-tables-automation\u002F","2.33",{"edge":329,"hub":329,"fleet":329},{"id":424,"title":425,"description":426,"docsLink":427,"tiers":428},"persistent-files","File Storage","Store and retrieve files from your Node-RED flows, with automatic replication and backup across your devices and hosted instances.","\u002Fdocs\u002Finstall\u002Ffile-storage\u002F",{"edge":329,"hub":329,"fleet":329},{"id":430,"title":431,"description":432,"docsLink":433,"showOnPricing":368,"tiers":434},"persistent-context","Persistent Context","In-memory values defined in a Node-RED flow persist across project restarts and upgrades.","\u002Fdocs\u002Fuser\u002Fpersistent-context\u002F",{"edge":329,"hub":329,"fleet":329},{"id":436,"title":437,"showOnPricing":368,"tiers":438},"static-assets","Static Assets",{"edge":329,"hub":329,"fleet":329},{"id":440,"title":441,"description":442,"docsLink":443,"tiers":444},"team-library","Team Library","Set up standard nodes and flows that can be shared with all team members across your organisation.","\u002Fdocs\u002Fuser\u002Fshared-library\u002F",{"edge":329,"hub":329,"fleet":329},{"id":446,"title":447,"description":448,"docsLink":449,"tiers":450},"personalised-multi-user-dashboards","Personalised Multi-User Dashboards","Build applications that provide unique data to each logged-in user using personalised multi-user dashboards.","https:\u002F\u002Fdashboard.flowfuse.com\u002Fuser\u002Fmulti-tenancy.html",{"edge":329,"hub":329,"fleet":329},{"id":452,"title":453,"description":454,"changelog":455,"subfeature":329,"showOnPricing":368,"tiers":458},"dashboards-view","Dashboards View","Browse and open every dashboard across your team from a dedicated Dashboards view, at both team and application level, without leaving FlowFuse.",[456],{"url":457,"release":421},"\u002Fchangelog\u002F2026\u002F07\u002Fteam-and-application-dashboards\u002F",{"edge":329,"hub":329,"fleet":329},{"id":460,"title":461,"description":462,"docsLink":463,"tiers":464},"blueprints-converge","Blueprints","Ready-made starting points for your apps, from cross-team Converge templates to OT and IT specific blueprints.","\u002Fdocs\u002Fuser\u002Fconcepts\u002F#blueprint",{"edge":329,"hub":329,"fleet":329},{"id":466,"title":467,"subfeature":329,"showOnPricing":368,"tiers":468},"blueprints-ot-apps","Blueprints - OT APPS",{"edge":329,"hub":368,"fleet":329},{"id":470,"title":471,"subfeature":329,"showOnPricing":368,"tiers":472},"blueprints-it-apps","Blueprints - IT APPS",{"edge":368,"hub":329,"fleet":368},{"id":474,"title":475,"description":476,"changelog":477,"showOnPricing":368,"tiers":481},"immersive-editor-snapshots","Snapshot Details in Immersive Editor","View and manage snapshot details directly inside the immersive editor without leaving your editing session.",[478],{"url":479,"release":480},"\u002Fchangelog\u002F2026\u002F03\u002Fsnapshot-detail-modal-immersive-editor\u002F","2.29",{"edge":329,"hub":329,"fleet":329},{"id":483,"title":484,"description":485,"changelog":486,"showOnPricing":368,"tiers":489},"immersive-editor-drawer","Customisable Immersive Editor Drawer","Pin, move, resize, or full-screen the immersive editor drawer. Your preferences are remembered between sessions.",[487],{"url":488,"release":378},"\u002Fchangelog\u002F2026\u002F04\u002Fimmersive-editor-drawer\u002F",{"edge":329,"hub":329,"fleet":329},{"id":491,"title":492,"description":493,"changelog":494,"showOnPricing":368,"tiers":497},"embedded-editor-tab-title","Embedded Editor Browser Tab Title","The browser tab title updates to reflect the active Node-RED canvas tab when working in the embedded editor.",[495],{"url":496,"release":480},"\u002Fchangelog\u002F2026\u002F03\u002Fembedded-editor-tab-title\u002F",{"edge":329,"hub":329,"fleet":329},{"id":499,"title":500,"features":501},"deploy","Deploy",[502,508,517,523,529,535,541,547,552],{"id":503,"title":504,"description":505,"docsLink":506,"tiers":507},"hosted-instances","Cloud Instances","Run Node-RED instances managed and hosted by FlowFuse.","\u002Fdocs\u002Fuser\u002Fintroduction\u002F#creating-a-node-red-instance",{"edge":329,"hub":329,"fleet":329},{"id":509,"title":510,"description":511,"docsLink":512,"changelog":513,"tiers":516},"edge-devices","Edge Instances","Deploy and mange your Node-RED instances on edge PLCs and gateways, with full visibility and control from the cloud.","\u002Fdocs\u002Fdevice-agent\u002Fintroduction\u002F",[514],{"url":515,"release":358},"\u002Fchangelog\u002F2026\u002F02\u002Fdevice-agent-nodejs-options\u002F",{"edge":329,"hub":368,"fleet":329},{"id":518,"title":519,"description":520,"docsLink":521,"tiers":522},"custom-hostnames","Custom Hostnames","Access your Node-RED application via your own domain name.","\u002Fdocs\u002Fuser\u002Fcustom-hostnames\u002F",{"edge":368,"hub":329,"fleet":368},{"id":524,"title":525,"description":526,"docsLink":527,"tiers":528},"mqtt-broker","MQTT Broker","Manage and create MQTT clients to transport data for efficient messaging and communication within your applications.","\u002Fdocs\u002Fuser\u002Fteambroker\u002F",{"edge":329,"hub":368,"fleet":329},{"id":530,"title":531,"description":532,"docsLink":533,"showOnPricing":368,"tiers":534},"project-nodes","Project Nodes aka seamless project comms","FlowFuse Project Nodes enable the passing of data and messages between your Node-RED projects.","\u002Fdocs\u002Fuser\u002Fprojectnodes\u002F",{"edge":329,"hub":329,"fleet":329},{"id":536,"title":537,"description":538,"docsLink":539,"tiers":540},"devops-pipelines","DevOps Pipelines","Set up different environments for development, testing, and production Node-RED instances to support a full software delivery lifecycle.","\u002Fdocs\u002Fuser\u002Fdevops-pipelines\u002F",{"edge":329,"hub":329,"fleet":329},{"id":542,"title":543,"description":544,"docsLink":545,"tiers":546},"git-integration","Git Integration","Back up your flows to a remote Git repository through a DevOps Pipeline. 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teams.","\u002Fdocs\u002Fuser\u002Frole-based-access-control\u002F#application-level-rbac",{"edge":329,"hub":329,"fleet":329},{"id":686,"title":687,"description":688,"changelog":689,"subfeature":329,"showOnPricing":368,"tiers":692},"scoped-personal-access-tokens","Scoped Personal Access Tokens","Restrict a Personal Access Token to specific teams, limit it to read-only operations, or control whether it carries admin privileges.",[690],{"url":691,"release":421},"\u002Fchangelog\u002F2026\u002F07\u002Fscoped-pats\u002F",{"edge":329,"hub":329,"fleet":329},{"id":694,"title":695,"description":696,"docsLink":697,"showOnPricing":368,"tiers":698},"team-members","Team Members","Invite multiple team members to collaborate on the same Node-RED flows.","\u002Fdocs\u002Fuser\u002Fteam\u002F#teams",{"edge":329,"hub":329,"fleet":329},{"id":700,"title":701,"description":702,"docsLink":703,"showOnPricing":368,"tiers":704},"endpoint-security","Endpoint Security","Secure HTTP endpoints for hosted Node-RED 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Node Support",{"path":741,"title":742},"\u002Fchangelog\u002F2023\u002F09\u002Fdevops-actions","DevOps Pipeline with action selection",{"path":744,"title":745},"\u002Fchangelog\u002F2023\u002F09\u002Fintroduction-enterprise-tier","Introducing the Enterprise Tier",{"path":747,"title":748},"\u002Fchangelog\u002F2023\u002F09\u002Fpipeline-api","API Endpoint for DevOps Pipeline",{"path":750,"title":751},"\u002Fchangelog\u002F2023\u002F09\u002Fsnapshots-devices","Usability improvements to Device Management",{"path":753,"title":461},"\u002Fchangelog\u002F2023\u002F10\u002Fblueprints",{"path":755,"title":756},"\u002Fchangelog\u002F2023\u002F10\u002Fcertified-nodes","Certified Nodes",{"path":758,"title":759},"\u002Fchangelog\u002F2023\u002F10\u002Fdevice-snapshot-selection","Enhanced Snapshot Selection",{"path":761,"title":762},"\u002Fchangelog\u002F2023\u002F10\u002Fpath-bug-fix","Device Agent path bug fix",{"path":764,"title":765},"\u002Fchangelog\u002F2023\u002F10\u002Fresource-alerts","Resource Monitoring in Audit Log",{"path":767,"title":652},"\u002Fchangelog\u002F2023\u002F11\u002F2fa",{"path":769,"title":770},"\u002Fchangelog\u002F2023\u002F11\u002Fdefault-editor","Device Editor enabled by default",{"path":772,"title":773},"\u002Fchangelog\u002F2023\u002F11\u002Fdevices-in-pipelines","Devices in DevOps Pipelines",{"path":775,"title":776},"\u002Fchangelog\u002F2023\u002F11\u002Fproject-nodes-devices","Project Nodes for Devices",{"path":778,"title":779},"\u002Fchangelog\u002F2023\u002F12\u002Fbilling","No Credit Card required for billing",{"path":781,"title":782},"\u002Fchangelog\u002F2023\u002F12\u002Fblueprint-selection","Blueprint Selection Update",{"path":784,"title":785},"\u002Fchangelog\u002F2023\u002F12\u002Fdevice-groups","Device Groups",{"path":787,"title":788},"\u002Fchangelog\u002F2023\u002F12\u002Femail-alerting-node-red-crash","Email Alerts for Audit Log 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SSO",{"path":814,"title":815},"\u002Fchangelog\u002F2024\u002F01\u002Fstreamlined-device-assignment","Streamlined Device assignment",{"path":817,"title":818},"\u002Fchangelog\u002F2024\u002F02\u002Fdevice-auto-snapshot","Device Auto Snapshots",{"path":820,"title":821},"\u002Fchangelog\u002F2024\u002F02\u002Fdevice-instance-audit-logs","Device Instance Audit Logging",{"path":823,"title":824},"\u002Fchangelog\u002F2024\u002F02\u002Fdevice-onboarding-improvements","Device Onboarding Improvements",{"path":826,"title":827},"\u002Fchangelog\u002F2024\u002F02\u002Fdevice-pricing-change","Pricing change for Devices",{"path":829,"title":830},"\u002Fchangelog\u002F2024\u002F02\u002Finstance-auto-snapshots","Instance Auto Snapshots",{"path":832,"title":833},"\u002Fchangelog\u002F2024\u002F02\u002Fpostgresql-upgrade","PostgreSQL Version update",{"path":835,"title":836},"\u002Fchangelog\u002F2024\u002F03\u002Fbearer-token-authentication","Bearer Token Authentication for Node-RED 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proxy",{"path":885,"title":886},"\u002Fchangelog\u002F2024\u002F06\u002Flibrary-blueprints","Custom hostnames for your instances",{"path":888,"title":889},"\u002Fchangelog\u002F2024\u002F06\u002Fmultiline-env-vars","Multi-line Environment Variables",{"path":891,"title":892},"\u002Fchangelog\u002F2024\u002F06\u002Fsnapshot-flow-compare","Compare Snapshots flows",{"path":894,"title":895},"\u002Fchangelog\u002F2024\u002F07\u002Fapplications-search","Applications Search",{"path":897,"title":898},"\u002Fchangelog\u002F2024\u002F07\u002Fdevice-group-clear-snapshot","Device Groups Snapshots",{"path":900,"title":901},"\u002Fchangelog\u002F2024\u002F07\u002Fdevice-management-bulk-delete","Managing devices",{"path":903,"title":901},"\u002Fchangelog\u002F2024\u002F07\u002Fdevice-management-bulk-move",{"path":905,"title":906},"\u002Fchangelog\u002F2024\u002F07\u002Fedit-snapshots","Edit Snapshots",{"path":908,"title":909},"\u002Fchangelog\u002F2024\u002F07\u002Fflowfuse-assistant","The FlowFuse 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