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Business Intelligence · head to head

Cyfe vs DuckDB

Cyfe logo

Cyfe

Business Intelligence

All-in-one business dashboard

From
Free
Rated
-
Full reviewWebsite
DuckDB logo

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cyfe dashboards are the billing unit, at 2 on the $29 Starter plan and 5 on the $39 Standard plan; DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • They diverge on capability: Cyfe covers Pre-built Widgets, DuckDB covers In-process execution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cyfe and DuckDB actually diverge.

Attributes where Cyfe and DuckDB differ
AttributeCyfeDuckDB
Pricing modelsubscriptionopen-source
PlatformsWeb, Mobile, TvLinux, macOS, Windows, WebAssembly
CategoryBusiness IntelligenceDatabases
Founded20122019

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

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 Cyfe

  • Pre-built Widgets
  • Custom Metrics
  • Historical Data
  • White-labeling
  • Embedding
  • Google Analytics
  • Facebook
  • Twitter

Only in DuckDB

  • In-process execution
  • Vectorised columnar engine
  • Direct file querying
  • Zero dependencies
  • Larger-than-memory queries
  • MIT licence
  • Postgres-flavoured SQL
  • Extension ecosystem

What people use each for

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

Cyfe

  • Building business dashboards from marketing, sales and finance sourcesnot DuckDB
  • Displaying live metrics on office screens and shared public URLsnot DuckDB

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Cyfe
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Cyfe
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Cyfe
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Cyfe

Where each one falls short

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

Cyfe

  • Dashboards are the billing unit, at 2 on the $29 Starter plan and 5 on the $39 Standard plan
  • Users are capped separately, at 1 on Starter and 2 on Standard, so a two person team needs the second tier for seats alone
  • Unlimited users only appears on the $119 Premier plan
  • Additional dashboards beyond a plan are $5 each
  • The Agency plan includes 10 clients with further clients at $19 each

DuckDB

  • A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
  • It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
  • Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
  • Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

Pricing, plan by plan

Cyfe

Free
  • Starter$29/month
    • 2 Dashboards
    • 1 User
    • 14-day free trial
  • Standard$39/month
    • 5 Dashboards
    • 2 Users
    • 14-day free trial
  • Pro$65/month
    • 10 Dashboards
    • 5 Users
    • 14-day free trial
  • Premier$119/month
    • 20 Dashboards
    • Unlimited Users
    • Additional dashboards available at $5 per dashboard

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Cyfe if

  • You need pre-built widgets.
  • You want to start without paying.
  • You work on Web, Mobile, Tv.
  • You also want custom metrics.
Cyfe review

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want vectorised columnar engine.
DuckDB review

Questions people ask

Is Cyfe or DuckDB better?
Neither clearly leads. Cyfe starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cyfe or DuckDB?
Cyfe starts at Free and DuckDB at Free.
Does Cyfe or DuckDB run on more platforms?
Cyfe runs on Web, Mobile, Tv. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use Cyfe for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cyfe best used for?
Cyfe is most often used for building business dashboards from marketing, sales and finance sources, displaying live metrics on office screens and shared public urls. Of those, building business dashboards from marketing, sales and finance sources and displaying live metrics on office screens and shared public urls are not what DuckDB is typically brought in for.
What can Cyfe do that DuckDB cannot?
Cyfe covers Pre-built Widgets, Custom Metrics, Historical Data, White-labeling. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Cyfe: How much does Cyfe cost?

Cyfe offers five subscription plans: Starter at $29/month (2 dashboards, 1 user), Standard at $39/month (5 dashboards, 2 users), Pro at $65/month (10 dashboards, 5 users), Premier at $119/month (20 dashboards, unlimited users), and Agency at $190/month (100 dashboards, 15 users, 10 clients).

Source
DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

Cyfe: What features are included in all Cyfe plans?

All Cyfe tiers include unlimited history, TV mode for dashboard displays, public shareable URLs, custom logos and themes, custom SSL domain support, unlimited data exports, and embedded analytics capabilities. The 14-day free trial is available for every plan.

Source
DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.

Cyfe: What is included in Cyfe's Agency plan?

The Agency plan at $190/month includes 100 dashboards, 15 users, and 10 clients. Additional clients cost $19 each. The plan provides 100% white label branding, branded widgets, custom CSS, and full client management features.

Source
DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

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