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Databases · head to head

DuckDB vs SAP BusinessObjects

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
SAP BusinessObjects logo

SAP BusinessObjects

Business Intelligence

Enterprise business intelligence suite

From
$400/month
Rated
-
Full reviewWebsite

The short version

  • Only DuckDB has a free tier, so it costs nothing to try first.
  • 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.; SAP BusinessObjects sAP BusinessObjects Private Cloud Edition is listed on UK G-Cloud 14 as a Cloud software service by SAP (UK) Limited titled 'SAP Business Objects Private Cloud Edition', alongside a reseller listing from NTT DATA Business Solutions; the G-Cloud search results describe it as subscription-based but show no per-user or per-month figure in the listing summary
  • They diverge on capability: DuckDB covers In-process execution, SAP BusinessObjects covers Crystal Reports.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and SAP BusinessObjects actually diverge.

Attributes where DuckDB and SAP BusinessObjects differ
AttributeDuckDBSAP BusinessObjects
Starting priceFree$400/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Desktop, Mobile
CategoryDatabasesBusiness Intelligence
Founded20191972

Identical on both: 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 SAP BusinessObjects

  • Crystal Reports
  • Web Intelligence
  • Lumira
  • Analysis for Office
  • Live Office
  • SAP HANA
  • SAP ERP
  • Oracle

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

SAP BusinessObjects

  • Enterprise reportingnot DuckDB
  • Executive dashboardsnot DuckDB
  • Regulatory compliancenot DuckDB
  • Strategic planningnot DuckDB
  • Operational analyticsnot 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.

SAP BusinessObjects

  • SAP BusinessObjects Private Cloud Edition is listed on UK G-Cloud 14 as a Cloud software service by SAP (UK) Limited titled 'SAP Business Objects Private Cloud Edition', alongside a reseller listing from NTT DATA Business Solutions; the G-Cloud search results describe it as subscription-based but show no per-user or per-month figure in the listing summary

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

SAP BusinessObjects

$400/month
  • Standard$400/month
    • Core BI Tools
    • Web Intelligence
    • Crystal Reports
  • EnterpriseFree
    • Full Suite
    • Advanced Features
    • Premium Support

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 SAP BusinessObjects if

  • You need crystal reports.
  • You work on Web, Desktop, Mobile.
  • You also want web intelligence.
SAP BusinessObjects review

Questions people ask

Is DuckDB or SAP BusinessObjects better?
Neither clearly leads. DuckDB starts at Free and SAP BusinessObjects at $400/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or SAP BusinessObjects?
DuckDB has a free tier; the other does not. Paid plans start at Free for DuckDB and $400/month for SAP BusinessObjects.
Does DuckDB or SAP BusinessObjects run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. SAP BusinessObjects runs on Web, Desktop, Mobile.
Can I use DuckDB for free?
Yes. DuckDB has a free tier, so you can try it without paying. SAP BusinessObjects starts at $400/month.
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 SAP BusinessObjects is typically brought in for.
What can DuckDB do that SAP BusinessObjects cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. SAP BusinessObjects covers Crystal Reports, Web Intelligence, Lumira, Analysis for Office.

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.

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.

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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