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Databases · head to head

DuckDB vs Periscope Data

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
Periscope Data logo

Periscope Data

Business Intelligence

SQL and Python analytics platform

From
$1000/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.; Periscope Data the periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • They diverge on capability: DuckDB covers In-process execution, Periscope Data covers SQL Editor.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Periscope Data actually diverge.

Attributes where DuckDB and Periscope Data differ
AttributeDuckDBPeriscope Data
Starting priceFree$1000/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Cloud
CategoryDatabasesBusiness Intelligence
Founded20192012

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 Periscope Data

  • SQL Editor
  • Python/R Integration
  • Version Control
  • Caching
  • Dashboards
  • Redshift
  • BigQuery
  • Snowflake

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

Periscope Data

  • SQL-based analytics and dashboards over a data warehousenot DuckDB
  • Python and R analysis alongside SQL in one workflownot DuckDB
  • Shared dashboards for data teamsnot 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.

Periscope Data

  • The periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • No Periscope Data pricing, plan or seat rate remains published at the original domain
  • Buyers must now purchase through Sisense, whose own pricing is not published as a rate card

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Periscope Data

$1000/month
  • Team$1000/month
    • SQL Analytics
    • Python/R
    • Dashboards
  • EnterpriseFree
    • Advanced Features
    • Custom Integrations
    • 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 Periscope Data if

  • You need sql editor.
  • You work on Web, Cloud.
  • You also want python/r integration.
Periscope Data review

Questions people ask

Is DuckDB or Periscope Data better?
Neither clearly leads. DuckDB starts at Free and Periscope Data at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Periscope Data?
DuckDB has a free tier; the other does not. Paid plans start at Free for DuckDB and $1000/month for Periscope Data.
Does DuckDB or Periscope Data run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Periscope Data runs on Web, Cloud.
Can I use DuckDB for free?
Yes. DuckDB has a free tier, so you can try it without paying. Periscope Data starts at $1000/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 Periscope Data is typically brought in for.
What can DuckDB do that Periscope Data cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Periscope Data covers SQL Editor, Python/R Integration, Version Control, Caching.

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.

Periscope Data: Does Sisense offer a free trial?

Yes. Sisense offers a free trial of their Self-Serve plan. You can try features like data warehouse connectivity, built-in AI for natural-language queries, auto-narratives, and customer assistant features.

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.

Periscope Data: What is the difference between Sisense Self-Serve and Enterprise plans?

The Self-Serve plan is for startups and teams and includes basic connectivity and AI features with iframe embedding. The Enterprise plan is for regulated industries and includes multi-tenant architecture, HIPAA readiness, column-level security, single sign-on, on-premise deployment options, 99.99% SLA, and 30-day backups.

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.

Periscope Data: How do I access the Sisense Enterprise plan?

The Enterprise plan requires contacting Sisense for a demo and custom quote. There is no self-service signup for this tier.

Source
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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