KiviDB Cloud vs Google Memorystore | A Memorystore alternative
KiviDB Cloud against Memorystore for Valkey and Redis: 47% less for 5 GB with a replica, on Google Cloud in your region, with search and vectors built in.
Managed on Google Cloud in the region you already use, Redis- and Valkey-compatible, for 47% less than Memorystore for Valkey at 5 GB with a replica.
Four reasons teams move from Memorystore
- 47% less: At 5 GB with a replica $95.54 a month on KiviDB Cloud against $180 for Memorystore for Valkey, on its cheapest shard layout. 30% less at 25 GB.
- Every core runs commands Valkey runs commands on one thread per shard. KiviDB uses every core of its machine.
- Search, vectors and JSON built in Part of the one binary, on every plan.
- Not tied to one cloud The same service on AWS and Azure too, or inside your own Google Cloud project.
KiviDB's price here is on AWS; on Google Cloud the pricing page quotes your region. Statements about other services reflect their public documentation as of November 2026. If one is out of date, tell us at support@kividb.io and we will correct it.
KiviDB Cloud and Memorystore, at three sizes
The same dataset, replicated across two zones, on each service's cheapest configuration that holds it.
| Dataset, with a replica | KiviDB Cloud | Memorystore |
|---|---|---|
| 5 GB | $95.54 | $180 |
| 25 GB | $393 | $562 |
| 100 GB | $1,570 | $2,246 |
Monthly, 730 hours, a primary and one replica in another zone, US regions. KiviDB Cloud: Pro on AWS from the live rate card. Others: each service's cheapest published configuration that holds the dataset, from its list price as read on October 5, 2026; the exact configurations are listed under "How we compared" on the home page.
Where Memorystore is the better fit
- Attached to your VPC Memorystore attaches to your VPC directly. KiviDB Cloud reaches it through Private Service Connect, or runs in your own project.
- Very small instances Memorystore's smallest shared-core nodes can cost less than KiviDB's smallest paid database on Google Cloud.
Move over without a rewrite
- Create a database On the cloud and in the region your application already runs in.
- Bring the data Import an .rdb file as a snapshot, or replicate from your current Redis primary until you cut over.
- Change the address Your Redis client, your commands and your code stay as they are. The compatibility page lists the few things that differ.
Try it in your Google Cloud region
Create a free database, point a copy of your service at it, and compare.