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DirectoryData & AnalyticsStreaming & Real-Time AnalyticsNATS

NATS

Open Source

About NATS

NATS is a messaging system that unifies messaging, streaming, and state into one real-time system. It is described as a high-performance, lightweight, open-source messaging system for building distributed systems. It supports pub/sub, request/reply, and streaming with persistence through JetStream. It is delivered as a single binary with minimal resource usage and sub-millisecond latency. Official clients are available in multiple programming languages.

Products

  • JetStream: Provides streaming with persistence within NATS.

Used for

  • Connecting services, devices, and AI agents from cloud to edge.
  • Supporting pub/sub, request/reply, and streaming with persistence.
  • Operating key-value and object storage within the same system.
  • Running on low-resource edge devices and across fleets of vehicles.
  • Evolving topology over time by adding clouds, regions, or edge locations without downtime.

From NATS's own website, read 2026-10-24. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of NATS. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

nats.io
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics

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