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Databases · head to head

DuckDB vs jBPM

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
jBPM logo

jBPM

Automation Integration

Long-running Java BPMN engine, now developed inside Apache KIE with commercial support from IBM

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.; jBPM the project moved to the Apache Software Foundation as Apache KIE and is still in incubation, which is a weaker governance signal than a vendor-owned product and a harder case to make to an architecture board.
  • They diverge on capability: DuckDB covers In-process execution, jBPM covers BPMN 2.0 execution.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DuckDB and jBPM actually diverge.

Attributes where DuckDB and jBPM differ
AttributeDuckDBjBPM
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, macOS, Windows, WebAssemblyLinux, Windows, Docker, Kubernetes
CategoryDatabasesAutomation Integration
Founded2019Unknown

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 jBPM

  • BPMN 2.0 execution
  • Drools integration
  • Human task service
  • Kogito compilation
  • Process designer
  • Timers and signals
  • REST and Java APIs
  • Case management

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

jBPM

  • A Java organisation already running jBPM 7 that needs to decide between the Apache KIE line, Kogito or migration awaynot DuckDB
  • A team that wants BPMN processes and Drools business rules executing in one runtime without integrating two productsnot DuckDB
  • A government or banking system with long-running processes needing durable timers and full audit history at no licence costnot DuckDB
  • A Quarkus estate adopting Kogito to run compiled processes with container-appropriate startup timesnot 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.

jBPM

  • The project moved to the Apache Software Foundation as Apache KIE and is still in incubation, which is a weaker governance signal than a vendor-owned product and a harder case to make to an architecture board.
  • The classic jBPM 7.x line has not had a Red Hat-sponsored release since 2023, so staying on it means running effectively frozen software while the development happens under a different name.
  • Kogito is architecturally different from the classic runtime, using ahead-of-time compilation, so moving forward is a migration project rather than a version upgrade.
  • Commercial support has shifted to IBM Business Automation Manager Open Editions, which means renegotiating with a different vendor under different terms than Red Hat customers signed.
  • The tooling and workbench have long been the weakest part, and organisations routinely build their own process administration interfaces because the shipped ones are dated.

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

jBPM

Free
  • jBPMFree
    • Apache 2.0 licence with no usage restrictions
    • Full BPMN engine, human tasks and Drools integration
    • Community support via Apache KIE mailing lists

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 jBPM if

  • You need bpmn 2.0 execution.
  • You want to start without paying.
  • You work on Linux, Windows, Docker, Kubernetes.
  • You also want drools integration.
jBPM review

Questions people ask

Is DuckDB or jBPM better?
Neither clearly leads. DuckDB starts at Free and jBPM at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or jBPM?
DuckDB starts at Free and jBPM at Free.
Does DuckDB or jBPM run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. jBPM runs on Linux, Windows, 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 jBPM is typically brought in for.
What can DuckDB do that jBPM cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation.

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.

jBPM: Is jBPM dead?

No. Development continues as part of Apache KIE, with releases through 2025, but the Red Hat-sponsored 7.x line has been static since 2023.

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.

jBPM: Who provides commercial support?

IBM, through Business Automation Manager Open Editions, following the transition away from Red Hat Process Automation Manager as a growth product.

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.

jBPM: What is Kogito?

The cloud-native successor that compiles processes ahead of time for Quarkus and Spring Boot, architecturally different from the classic jBPM runtime.

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.

jBPM: Does it cost anything?

No. It is Apache 2.0 licensed with no fee. Costs are support contracts and the engineering effort to run it.

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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