Softwr

Databases · head to head

MotherDuck vs Valkey

MotherDuck logo

MotherDuck

Databases

Serverless analytics data warehouse built on DuckDB

From
Free
Rated
-
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-

The short version

  • Each has a real cost: MotherDuck the free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: MotherDuck covers Serverless DuckDB instances, Valkey covers Redis-compatible.

Where they differ

Only the attributes on which MotherDuck and Valkey actually diverge.

Attributes where MotherDuck and Valkey differ
AttributeMotherDuckValkey
Pricing modelusage-basedOpen source, no licence fee; managed cloud billed separately
Platformsweb, apiLinux, macOS, Docker, Self-hosted
Founded2022Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in MotherDuck

  • Serverless DuckDB instances
  • Cloud storage querying
  • MCP server
  • Dives
  • Flights
  • Read-scaling replicas

Only in Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

What people use each for

The jobs each tool is most often brought in to do.

MotherDuck

  • Ad-hoc analytics on gigabyte-to-terabyte datasetsnot Valkey
  • Querying data lake files in S3/GCS/Azure without ingestionnot Valkey
  • AI agent data analysis via MCPnot Valkey
  • Scheduled data pipeline transformationsnot Valkey

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot MotherDuck
  • Caching and session storage where a foundation-governed project is a procurement requirementnot MotherDuck
  • Migrating from Redis without rewriting application codenot MotherDuck

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

MotherDuck

  • The free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.
  • Business plan usage charges on top of the $250/month base can make costs less predictable than flat-rate competitors.
  • There are no academic or non-profit discounts, unlike some competing data platforms.
  • Annual billing requires going through a sales conversation rather than a self-serve toggle.

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

MotherDuck

Free
  • LiteFree
    • Up to 3 internal active users
    • 2 service accounts
    • 10GB free storage
  • Business$250/month
    • Up to 10 internal active users
    • Unlimited service accounts
    • 5 instance types with read-scaling replicas
  • Enterprise$undefined/month
    • Unlimited internal users and service accounts
    • Fixed-cost capacity pricing
    • AWS PrivateLink, IP allowlisting

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose MotherDuck if

  • You need serverless duckdb instances.
  • You want to start without paying.
  • You work on web, api.
  • You also want cloud storage querying.

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.

Questions people ask

Is MotherDuck or Valkey better?
Neither clearly leads. MotherDuck starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, MotherDuck or Valkey?
MotherDuck starts at Free and Valkey at Free.
Does MotherDuck or Valkey run on more platforms?
MotherDuck runs on web, api. Valkey runs on Linux, macOS, Docker, Self-hosted.
Can I use MotherDuck for free?
Both have a free tier, so you can try either at no cost before committing.
What is MotherDuck best used for?
MotherDuck is most often used for ad-hoc analytics on gigabyte-to-terabyte datasets, querying data lake files in s3/gcs/azure without ingestion, ai agent data analysis via mcp, scheduled data pipeline transformations. Of those, ad-hoc analytics on gigabyte-to-terabyte datasets and querying data lake files in s3/gcs/azure without ingestion are not what Valkey is typically brought in for.
What can MotherDuck do that Valkey cannot?
MotherDuck covers Serverless DuckDB instances, Cloud storage querying, MCP server, Dives. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

MotherDuck: What does MotherDuck cost?

The Lite plan is free (up to 3 users, 10GB storage, 10 hours of Pulse compute/month). Business is $250/organization/month plus usage, with Enterprise available at custom fixed-cost pricing.

Source
Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

MotherDuck: Is there a free plan and what are its limits?

Yes, the Lite plan is free for up to 3 internal active users and 2 service accounts, with 10GB of storage and 10 hours of Pulse compute per month.

Source
Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

MotherDuck: How is usage metered?

Compute instances (Pulse, Standard, Jumbo, Mega, Giga) are billed per second at hourly rates from $0.60 to $24.00/hour, storage is $0.04/GB-month, and AI Functions cost $1.00 per AI Unit.

Source
Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

Share

Related pages

Other head to heads