IBM Cloudant vs Layerbase Cloud: managed CouchDB compared in 2026

If you are running CouchDB and weighing IBM Cloudant against Layerbase Cloud, the short version: Cloudant is the long-running incumbent with the heavier enterprise feature set, and Layerbase Cloud is the modern managed Apache CouchDB with a free tier that actually works for production-shaped workloads. The interesting comparison is which one fits your specific app, not which one is "better."

This post is the side-by-side. Everything below cites either Cloudant's pricing and deprecations docs or the public Layerbase Cloud pricing page. If you are looking for the broader survey of options, see Cloudant alternatives in 2026. If you are looking for the migration steps, see Migrating from IBM Cloudant to Apache CouchDB.

Contents

• At a glance
• Free tier
• Pricing model
• Database-count caps
• The CouchDB engine
• JavaScript engine and design documents
• Region coverage and egress
• Backups and replication
• Console and developer ergonomics
• Search and full-text
• SLA, support, and lifecycle
• Which one to pick

At a glance

Free tier

This is the line item that has shifted the most in the last 18 months.

Cloudant Lite is free, but the caps tightened in March 2025. The current envelope:

• 1 GB storage
• 20 reads per second, 10 writes per second, 5 global queries per second
• 20 databases maximum for instances created after March 3, 2025
• 1 MB max document size

The 20-database cap is the part that bites hardest. CouchDB encourages database-per-tenant and database-per-user patterns for offline-first sync, and 20 tenants is not enough headroom to actually ship a small SaaS on Lite.

Layerbase Cloud's free dev tier is also free, also no credit card, but the constraint is storage rather than database count. You can split that storage across however many databases the workload calls for, including the database-per-tenant pattern. The engine itself stays free at the dev tier in perpetuity; paid add-ons are opt-in (keep-warm to disable hibernation, larger storage, scheduled backups, multi-region).

If you are coming from Lite and bumping into the 20-db wall, that constraint goes away on Layerbase.

Pricing model

The two pricing models are different enough that direct dollar comparisons mislead.

Cloudant uses a provisioned-capacity model. You reserve reads/s, writes/s, and global queries/s in capacity units, and pay for the highest setting in each hourly window. Storage is separate at roughly $1/GB/mo after the 20 GB included. Standard starts at around $76.65/mo for the minimum capacity, and you scale by clicking up the sliders in the dashboard. Surprise bills happen when traffic spikes push capacity units higher than planned, even briefly.

Layerbase Cloud uses an add-on model. The engine and a workable allocation are part of the dev tier. Paid features are itemised: keep-warm to avoid scale-to-zero cold starts, larger storage tiers, scheduled backups, region pinning, multi-region replication. You only pay for the things you opt in to, and the unit prices are visible up front.

In practice:

• For a hobby project or a small B2B SaaS that lives inside the dev tier's storage envelope, Layerbase is free and Cloudant is at minimum Lite (with the 20-db cap).
• For a steady, predictable workload past the free envelope, Layerbase's add-on prices and Cloudant's Standard starting price land in roughly the same ballpark, with Cloudant getting more expensive faster as throughput needs grow.
• For very large, predictable enterprise workloads, Cloudant's dedicated Enterprise plan and Cloudant on Transaction Engine offering have specialised pricing that may beat any generic managed CouchDB.

Database-count caps

This deserves its own row because it is the new thing.

Cloudant added hard database-count caps on March 3, 2025:

• Lite: 20 databases per instance
• Standard: 200 databases per instance

The caps apply to instances created on or after that date. Older instances are exempt. The cap is enforced server-side: the 21st (or 201st) PUT /{db} returns HTTP 403. Cloudant's documentation suggests sharding across multiple instances or filing a support case for exceptions.

Layerbase Cloud does not impose a per-instance database-count cap on the dev tier. You are bounded by storage, not by count. For per-tenant CouchDB architectures, this is the single biggest difference.

The CouchDB engine

Both run real Apache CouchDB 3.x. Cloudant adds extensions on top (Cloudant Search, Cloudant Query enhancements, partitioned databases, specific capacity-management endpoints), and tracks a slightly customised version (e.g., 3.5.0+cloudant).

Layerbase Cloud runs the upstream Apache binary unmodified. That means:

• Your code is portable. The same client library calls work against Layerbase Cloud, SpinDB locally, a self-hosted Apache CouchDB, and (mostly) Cloudant.
• The release cadence is whatever Apache ships.
• There are no Cloudant-specific quirks to learn, and no Layerbase-specific lock-in features either.

If you specifically rely on Cloudant Search or partitioned databases as Cloudant implements them, the Cloudant side wins on parity. If you want a portable Apache CouchDB and the option to move providers later, Layerbase wins on neutrality.

JavaScript engine and design documents

Cloudant is migrating the JavaScript engine that runs design-document views, filters, and _update handlers from SpiderMonkey to QuickJS. The cutover for the remaining SpiderMonkey instances is October 6, 2026. IBM says less than 1% of customers will need to change their design docs, but the failure modes include silent result drift on functions like parseInt.

Layerbase Cloud follows the Apache CouchDB upstream JS engine choice, which today is SpiderMonkey. If your design docs rely on SpiderMonkey-specific behaviour, they keep working on Layerbase without a 2026 deadline hanging over them.

This is not a "Layerbase is better" point, exactly. QuickJS is a sensible upgrade (faster index builds, ES2023). It is more a "neither side is on auto-pilot, and the deadlines are different." If you have non-trivial JavaScript in your design docs, the Cloudant deadline is real and the Apache-upstream cadence on Layerbase is not.

Region coverage and egress

Cloudant runs in six IBM Cloud regions (Dallas, Washington DC, Frankfurt, London, Sydney, Tokyo at last count). Cross-region replication is supported. If your application runs in a non-IBM cloud (AWS, GCP, Azure, Cloudflare, Vercel), every CouchDB request crosses the open internet and may incur egress on the application side.

Layerbase Cloud is vendor-neutral and reachable from any cloud. Region pinning is a paid add-on rather than the default, but if you do not care which region your data lives in, you do not pay for that decision. For Vercel, Cloudflare Workers, or AWS Lambda users specifically, latency is generally lower from Layerbase than from Cloudant because the network path is shorter.

Backups and replication

Both run the standard CouchDB replicator. Both support continuous and one-shot replication. Both support replication between themselves and anywhere else, in any direction, because the protocol is universal.

Cloudant offers point-in-time backups as a managed feature on paid plans, integrated with IBM Cloud Object Storage. The @cloudant/couchbackup CLI is also free to use against any Cloudant or CouchDB instance. Cloudant removed replicator proxy field support, so jobs with proxy, source_proxy, or target_proxy fail.

Layerbase Cloud offers scheduled backups as a paid add-on, with restore-from-snapshot from the dashboard. Replicator proxy fields work because Layerbase ships upstream Apache behaviour.

For the migration use case specifically, both directions work the same way, see Migrating from IBM Cloudant to Apache CouchDB for the step-by-step.

Console and developer ergonomics

Cloudant's console is the open-source Fauxton, wrapped in the IBM Cloud chrome. It has not seen a meaningful UX refresh in years. The IBM Cloud surface around it adds account management, billing, and access control, but the actual database-browsing experience is the same as what ships with Apache CouchDB.

Layerbase Cloud's console is a dashboard layer over Fauxton. You can use Fauxton directly when you want the canonical CouchDB experience, and the Layerbase dashboard for everything else (creating instances, switching engines, viewing logs, managing backups, hibernation toggles, regional placement, generated credentials). The dashboard is also where you create instances of other engines (PostgreSQL, MongoDB, Redis, and 20 others) without rebilling, which matters if you are running a multi-engine stack.

If you live in a CouchDB-only world and you already know your way around Fauxton, the console difference is mostly cosmetic. If you wrangle multiple databases for one app, the multi-engine dashboard on Layerbase is more useful day to day.

Search and full-text

Cloudant Search is a Lucene-backed full-text index, exposed through a _search endpoint on design documents. It is Cloudant-only and does not exist in upstream Apache CouchDB. If your app depends on it heavily, that is a lock-in cost.

Layerbase Cloud does not offer a Cloudant Search equivalent inside the CouchDB instance. Instead, the recommended pattern is to stream changes from CouchDB's _changes feed into a dedicated search engine like Meilisearch (also available as a one-click engine on Layerbase Cloud). It is a different shape, and migrating from _search to Meilisearch is real work, but the result is a more composable system where the search engine can be scaled, swapped, or replaced independently of the database.

If full-text search inside design documents is critical and you cannot afford to migrate it, Cloudant wins on this one specific axis.

SLA, support, and lifecycle

Cloudant publishes a 99.99% SLA on the Standard plan. Support tiers go from free community to paid enterprise, with response-time guarantees on the paid tiers. Lifecycle is long: Cloudant has been operating since the early 2010s, and IBM's enterprise customer base means it will keep operating.

Layerbase Cloud publishes a 99.9% SLA on paid tiers and no SLA on the free dev tier. Support is email-based, with response targets tied to plan. Layerbase is younger than Cloudant; in exchange, it is being actively developed (this comparison post itself is a 2026-05 artifact, the dashboard sees feature releases monthly).

If your procurement process requires a 99.99% SLA, that is a Cloudant point. If you weight "is this product being actively built" higher than "has it been around for a decade," that is a Layerbase point.

Which one to pick

Short version:

• Per-tenant SaaS using database-per-user, hitting Cloudant's 20-database cap: Layerbase Cloud. The cap goes away.
• Hobby project or small B2B side-project: Layerbase Cloud dev tier. Free, no credit card, no expiry.
• Existing CouchApp that uses _show, _list, _update, or _rewrite: Layerbase Cloud or self-host. The handlers still work on Apache CouchDB.
• App stack running on AWS, Vercel, Cloudflare, or any non-IBM cloud: Layerbase Cloud. Shorter network path, no IBM Cloud account required.
• App stack already on IBM Cloud, dependent on Cloudant Search, with predictable enterprise workload: stay on Cloudant. The integration depth and the Lucene search are real value.
• Large, regulated enterprise customer with a 99.99% SLA requirement and existing IBM procurement: stay on Cloudant.

The migration is one-line replication if you change your mind in either direction. Cloudant deprecations in 2025 and 2026 has the full list of recent changes, and the migration guide walks the cutover.

Create a free CouchDB on Layerbase Cloud to compare side by side. Spin up a free instance, replicate one of your Cloudant databases into it, and run your real workload against both for a week. That is the actual answer.