
Firestore
Datomic
Valentina Server
Datahike
Matisse
Oracle TimesTen
SAP MaxDB
MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Supabase
Neon Database
PlanetScale
MongoDB Atlas
Amazon RDS
Aiven
Railway
Serverless and managed databases for 18 engines including PostgreSQL, MySQL, FerretDB, Redis, and ClickHouse. Free tier with no card. Flat monthly pricing, never metered.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | marklogic.com | layerbase.com |
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| Company | — | Startup from the United States |
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In their own words, as submitted to SaaSHub.


No description of MarkLogic Server yet.
Layerbase is a managed database platform built around flat monthly pricing instead of metered billing. One account gives you 18 database engines in the cloud, including PostgreSQL, MySQL, MariaDB, FerretDB (MongoDB wire protocol), Valkey, DuckDB, ClickHouse, QuestDB, and InfluxDB, all managed...
What each product offers, as listed by its team.


Possible disadvantages
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What $15/month actually buys you in managed databases
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing MarkLogic Server and Layerbase.
Layerbase's answer:
Layerbase gives you 18 database engines in one account with flat monthly pricing. Instead of running Postgres on one vendor, Redis on another, and ClickHouse on a third, you provision all of them from a single dashboard, and the bill never changes based on usage. Every engine gets the same tooling: query console, automatic backups, branching, and wake-on-connect hibernation, so a free-tier side project stays alive instead of being deleted for inactivity.
Layerbase's answer:
Pick Layerbase when you want a predictable bill and more than one kind of database. Most competitors host a single engine and meter usage, so costs are hard to forecast and a second engine means a second vendor. Layerbase replaces that stack with one account: Postgres for your app, Valkey for caching, ClickHouse for analytics, FerretDB for documents, all on Free, Solo ($5/month), or Pro ($15/month) plans, with dedicated servers from $35/month when you outgrow shared capacity. The free tier hibernates idle databases and wakes them on connection rather than deleting them.
Layerbase's answer:
Developers and small teams who run real products without a dedicated ops person: indie hackers with side projects, startups that want Postgres plus a cache plus analytics without three vendors, and agencies managing databases for multiple clients. The CLI also makes it a fit for CI pipelines and AI coding agents that need to spin up disposable local databases.
Layerbase's answer:
Layerbase started as a command-line tool for spinning up local databases without wrestling with Docker configs or Homebrew versions: one command, any engine, running in seconds. Once that worked for local development, the obvious next question was why the cloud version of the same idea had to mean a different vendor for every engine and a bill that changes every month. So we built the managed platform around the same principles: every engine in one place, provisioning in seconds, and flat pricing you can predict. The desktop app and the CLI are still there for local work, and the cloud picks up where they leave off.
Layerbase's answer:
TypeScript end to end. The web app and dashboard are Next.js and React, the desktop app is Electron, and the CLI ships on npm. Databases run in containers on bare-metal servers with ZFS storage, which is what makes near-instant database branching possible, and connections are routed with TLS/SNI so hibernated databases can wake on connect.
Share your experience with using MarkLogic Server and Layerbase. For example, how are they different and which one is better?
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