Memphis

A scalable message broker and data streaming platform for building event-driven features

Also known as
memphis

What is Memphis?

Memphis is an open-source message broker and data streaming platform designed for backend developers. It provides production-ready message brokering with features like schema management, dead-letter queues, stream processing functions, and support for multiple programming languages.

Independently observed

Memphis pricing

We don't have Memphis's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Memphis does

The capabilities that matter for message queues, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Core
Messaging paradigm
Queue
Correctness
Delivery guarantee
At-least-once
Ordering guarantee
Per-partition
Durability
Durable replayable log
✓
Message replay / rewind
✓
Interop
Wire protocol
-
Kafka-protocol compatible
-
Scale
Partitioned horizontal scaling
✓
Geo / cross-region replication
-
Consumption
Consumer groups / competing consumers
✓
Dead-letter queue
✓
Deployment
Managed cloud offering exists
✓
Hosting
Cloud + self-hosted
Processing
Built-in stream processing
✓
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Memphis alternatives

Other message queues we track, ranked by the same independent score.

All Memphis alternatives, ranked →

Compare Memphis

Side by side against other message queues, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Memphis, not the verdict.

Balanced composite 46 / 100
low · 22%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities870.065.5✓
Release cadence880.054.6✓
Price level800.043.4✓
Stars670.031.7✓
Pricing transparency250.061.6✓
Reliability00.160.0-
Integrations00.080.0-
Dependent projects00.060.0✓
Development activity00.090.0✓
Security posture00.120.0-
Package downloads00.140.0-
Security score00.040.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d0mediumsource · 2026-10-14 · 65%

Adoption

AttributeValueEvidence
Github stars3,444highsource · 2026-10-14 · 90%
Dependent repos0highsource · 2026-10-14 · 85%

Features

AttributeValueEvidence
CapabilitiesHosting: both · Ordering: per_partition · Paradigm: queue · Message replay: Yes · Persistent log: Yes · Consumer groups: Yesmediumsource · 2026-10-14 · 60%

Language

AttributeValueEvidence
PrimaryGohighsource · 2026-10-14 · 90%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-21 · 60%
Modelfreemiummediumsource · 2026-08-21 · 60%
Price levellowmediumsource · 2026-08-21 · 60%

Release

AttributeValueEvidence
Cadence days21mediumsource · 2026-10-14 · 70%
History20 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=helm&package_name=memphis%2Fmemphis&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
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For the makers of Memphis

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Memphis, verified on vioscaleAI
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Last updated . Canonical URI: https://www.vioscale.ai/software/memphis.