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Databases · head to head

DuckDB vs Timeplus

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
Timeplus logo

Timeplus

Databases

Streaming SQL engine built on ClickHouse internals, shipping as one small binary

From
Free
Rated
-
Full reviewWebsite

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.; Timeplus proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
  • They diverge on capability: DuckDB covers In-process execution, Timeplus covers Streaming SQL.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DuckDB and Timeplus actually diverge.

Attributes where DuckDB and Timeplus differ
AttributeDuckDBTimeplus
Pricing modelopen-sourcePer month for cloud, quoted for self-hosted
PlatformsLinux, macOS, Windows, WebAssemblyLinux, macOS, Docker, Kubernetes, Web
Founded2019Unknown

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

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 Timeplus

  • Streaming SQL
  • Unified streaming and historical
  • ClickHouse-based engine
  • Single binary deployment
  • External streams
  • Materialised views

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 Timeplus
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Timeplus
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Timeplus
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Timeplus

Timeplus

  • Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot DuckDB
  • Fraud or anomaly detection that must join a live event stream against recent history in one querynot DuckDB
  • Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot DuckDB
  • A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot 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.

Timeplus

  • Proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
  • It is a young project against Apache Flink’s decade of production history, so the hiring pool, the connector library and the body of known failure modes are all much smaller.
  • Inheriting ClickHouse internals also inherits ClickHouse constraints: memory-hungry queries, awkward updates and a SQL dialect that is not portable to other engines.
  • Exactly-once semantics and state recovery guarantees are less battle-tested than Flink checkpointing, which matters if the pipeline moves money.
  • Cloud pricing is by provisioned instance size rather than usage, so a bursty workload pays for peak capacity around the clock or has to be resized by hand.

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Timeplus

Free
  • Timeplus ProtonFree
    • Apache 2.0 licence
    • Single node only
    • Full streaming SQL engine
  • Timeplus Cloud$199/month
    • One to thirty-two CPUs
    • 4 GB to 128 GB memory
    • From 250 GB SSD storage
  • Self-hosted or BYOC$undefined/year
    • Multi-node clustering
    • Kubernetes or bare metal
    • Customisable compute and storage

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.
DuckDB review

Choose Timeplus if

  • You need streaming sql.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes, Web.
  • You also want unified streaming and historical.
Timeplus review

Questions people ask

Is DuckDB or Timeplus better?
Neither clearly leads. DuckDB starts at Free and Timeplus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Timeplus?
DuckDB starts at Free and Timeplus at Free.
Does DuckDB or Timeplus run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
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 Timeplus is typically brought in for.
What can DuckDB do that Timeplus cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.

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.

Timeplus: Is Timeplus open source?

The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.

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.

Timeplus: What is the difference from Flink?

Timeplus is one binary with SQL as the only interface; Flink is a JVM cluster with a Java and SQL API and far more operational surface.

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.

Timeplus: Can Proton run in production?

It can, but it is single-node only, so there is no high availability without the commercial edition.

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.

Timeplus: How much is the cloud?

From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.

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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