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Software · head to head

DuckDB vs Hive

DuckDB logo

DuckDB

Software

Fast in-process analytical database

From
Free
Rated
-
Hive logo

Hive

Software

Project management built for speed

From
On request
Rated
-

The short version

  • Only DuckDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; Hive the free plan is capped at 200 MB of storage
  • They diverge on capability: DuckDB covers In-process Execution, Hive covers Tasks.

Where they differ

Only the attributes on which DuckDB and Hive actually diverge.

Attributes where DuckDB and Hive differ
AttributeDuckDBHive
Starting priceFreeOn request
Pricing modelopen-sourcefreemium
Free tierYesNo
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Ios, Android, Desktop
Founded20192015

Identical on both: user rating (Not yet rated), category (Unknown).

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
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

Only in Hive

  • Tasks
  • Gantt view
  • Kanban
  • Time tracking
  • Forms
  • Slack
  • Zoom
  • Google Drive

What people use each for

The jobs each tool is most often brought in to do.

DuckDB

  • Analytics and data warehousingnot Hive
  • OLAP queries and data explorationnot Hive
  • Data science and machine learning workflowsnot Hive
  • Multi-format data ingestion and processingnot Hive

Hive

  • Project and task management with multiple project viewsnot DuckDB
  • Coordinating work, proofing and resourcing for teamsnot DuckDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

Hive

  • The free plan is capped at 200 MB of storage
  • The Starter plan at $5 per user per month is limited to 10 projects
  • Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
  • Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
  • AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Hive

On request
  • FreeFree
    • Basic features
    • 10 users
  • Teams$12/month
    • Unlimited users
    • Time tracking
    • Automations

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 columnar storage.

Choose Hive if

  • You need tasks.
  • You work on Web, Ios, Android, Desktop.
  • You also want gantt view.

Questions people ask

Is DuckDB or Hive better?
Neither clearly leads. DuckDB starts at Free and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Hive?
DuckDB has a free tier; the other does not. Paid plans start at Free for DuckDB and On request for Hive.
Does DuckDB or Hive run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Hive runs on Web, Ios, Android, Desktop.
Can I use DuckDB for free?
Yes. DuckDB has a free tier, so you can try it without paying. Hive starts at On request.
What is DuckDB best used for?
DuckDB is most often used for analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what Hive is typically brought in for.
What can DuckDB do that Hive cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Hive covers Tasks, Gantt view, Kanban, Time tracking.

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