Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Azure Service Bus in message brokers & queues workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing Azure Service Bus.
Why teams pick it
Launch quickly with streamlined setup and onboarding.
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Azure Service Bus.
Why teams pick it
High availability options via quorum queues and clustering
High-performance multi-protocol messaging platform for cloud-native AI workloads
Why teams choose it
Watch for
Early preview stage; not yet production‑ready
Migration highlight
Real‑time IoT telemetry ingestion
Scalable MQTT ingestion with low latency and per‑device isolation
Robust multi-protocol messaging broker for cloud-native applications
Why teams choose it
Lightweight PostgreSQL‑based message queue with exactly‑once delivery
Scalable, fault-tolerant messaging for billions of events daily
Lightweight SQS‑compatible message queue for testing and development
High-performance, fault-tolerant distributed message queue for modern workloads
SmoothMQ: Drop-in SQS replacement with UI, tracing, and scheduling
Why teams choose it
Scalable, low‑latency pub‑sub platform for real‑time data streams
Teams replacing Azure Service Bus in message brokers & queues workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Azure Service Bus.
Watch for
Erlang runtime may be unfamiliar to some ops teams
Migration highlight
Microservices communication
Decoupled services exchange messages reliably via AMQP or MQTT, scaling horizontally.
Why teams choose it
Watch for
Performance limited to PostgreSQL's capabilities
Migration highlight
Event‑driven microservices communication
Services publish events to a PGMQ queue and consume them reliably with exactly‑once semantics, eliminating external broker costs.
Why teams choose it
Watch for
Master branch is a development line; use tagged releases for stability
Migration highlight
Log aggregation across data centers
Collects billions of log entries in real time, delivering them to processing services with fault tolerance.
Why teams choose it
Watch for
Not a full replacement for Amazon SQS in production
Migration highlight
Local development of SQS‑based services
Run ElasticMQ locally to test message handling without AWS costs.
Why teams choose it
Watch for
Primary broker only available in C++, limiting native extensions
Migration highlight
Real‑time trade data distribution
Ensures low‑latency, ordered delivery of market data to multiple consumer services
Watch for
Does not implement the full AWS SQS feature set (e.g., FIFO, dead‑letter queues)
Migration highlight
Local Development
Run a private SQS endpoint on a developer machine to test queue interactions without AWS costs.
Why teams choose it
Watch for
Requires specific Java versions (8, 11, or 17) depending on release
Migration highlight
Streaming telemetry from IoT devices
Collects millions of sensor events per second, stores them durably, and forwards to analytics pipelines with guaranteed ordering.