Databases · head to head
DuckDB vs Kong

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
- -
The short version
- Each has a real cost: 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.; Kong the Plus plan includes 1M API requests a month and charges $200 a month for each additional million
- They diverge on capability: DuckDB covers In-process execution, Kong covers API Gateway.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DuckDB and Kong actually diverge.
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 DuckDB
- In-process execution
- Vectorised columnar engine
- Direct file querying
- Zero dependencies
- Larger-than-memory queries
- MIT licence
- Postgres-flavoured SQL
- Extension ecosystem
Only in Kong
- API Gateway
- Authentication & Authorization
- Rate Limiting
- Kubernetes
- Consul
- Eureka
- PostgreSQL
- Linux support
What people use each for
The jobs each tool is most often brought in to do.
DuckDB
- Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Kong
- Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Kong
- Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Kong
- Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Kong
Kong
- API gateway management and routingnot DuckDB
- API development and testingnot DuckDB
- Enterprise API security and governancenot DuckDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Kong
- The Plus plan includes 1M API requests a month and charges $200 a month for each additional million
- Plus is capped at 10M requests a month, so growth past that forces an Enterprise contract
- Plus limits published APIs to 20 and includes one Developer Portal, with a second at $200 a month
- SSO and audit logging are Enterprise only
- Enterprise pricing is custom and billed annually
Pricing, plan by plan
DuckDB
FreeNo published plan breakdown. See the DuckDB review.
Kong
Free- Kong Konnect Free TrialFree
- 30-day free trial
- Full enterprise functionality
- Unlimited gateways
- Kong Konnect Plus$null/month
- Per gateway pricing billed monthly
- Up to 5 Serverless Gateways, 2 Hybrid, 2 Dedicated Cloud Gateways
- 1M API requests included per month
- Kong Insomnia EssentialsFree
- Unlimited projects and CLI access
- Up to 3 Git Sync users
- 1,000 mock server requests per month
- Kong Insomnia Pro$12/month
- Unlimited users with Git Sync access
- Unlimited organizations
- RBAC
Which should you pick?
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.
Choose Kong if
- You need api gateway.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want authentication & authorization.
Questions people ask
- Is DuckDB or Kong better?
- Neither clearly leads. DuckDB starts at Free and Kong at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DuckDB or Kong?
- DuckDB starts at Free and Kong at Free.
- Does DuckDB or Kong run on more platforms?
- DuckDB runs on Linux, macOS, Windows, WebAssembly. Kong runs on Linux, Docker, Kubernetes.
- Can I use DuckDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DuckDB best used for?
- DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Kong is typically brought in for.
- What can DuckDB do that Kong cannot?
- DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Kong covers API Gateway, Authentication & Authorization, Rate Limiting, Kubernetes.
Answered from the vendors’ own pages
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.
Kong: Does Kong offer a free trial?
Yes, Kong Konnect offers a 30-day free trial with full enterprise functionality, unlimited gateways, and no credit card required.
SourceDuckDB: 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.
Kong: How much does Kong Insomnia Pro cost?
Kong Insomnia Pro is $12 per user per month with 15% savings available for annual billing.
SourceDuckDB: 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.
Kong: What are Kong Konnect Plus API request limits?
Kong Konnect Plus includes 1M API requests per month; additional requests cost $200 per 1M (maximum 10M per month).
SourceDuckDB: 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.
Kong: What is included in Kong Insomnia Enterprise?
Kong Insomnia Enterprise is $45 per user per month with SSO, SCIM, vault integrations, unlimited mock server requests, and Konnect integration.
SourceDuckDB: 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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