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Hive vs Pydio Cells

A side-by-side editorial comparison of Hive and Pydio Cells — release velocity, themes, recent moves, and the top alternatives to consider.

Hive vs Pydio Cells: at a glance

FeatureHivePydio Cells
SectorCollab, PMCollab
Velocity score6.35.0
Sparks · 30d00
Top themesproject management, reporting, bulk actions, capacity planningfile-sharing, self-hosted, metadata, access-control
Last editorial update16h ago11d ago
WebsiteVisit →Visit →

What is Hive?

Hive turns reporting into a planning tool: shared inputs, grouped values, per-person drill-downs.

Hive's November releases have two tracks. Bulk work got easier with undo and redo, a rebuilt Workflows library and now setting or shifting dates across many actions at once. Reporting got deeper: on November 13 dashboards gained per-person burndown drill-downs, grouped custom-field values in charts, and formulas that read monthly capacity and factors stored in Tables.

Read the full Hive trajectory →

What is Pydio Cells?

Cells 5.1 gives tag values their own access policies, and 5.1.1 makes them hold up.

v5.1.0 added access policies for Entity Values, the metadata store v5 introduced, with dedicated CRUD endpoints and an admin flag that stops end users adding new tag values. v5.1.1 follows five weeks later with fixes for that same feature: the restrict-values toggle on TagCloud now switches off, and policy-group caching is safe under concurrent access. The 4.4 branch still gets occasional maintenance releases alongside v5.

Read the full Pydio Cells trajectory →

Hive vs Pydio Cells: editorial side-by-side

Hive logo
Hive
COLLABPM
6.3

Hive turns reporting into a planning tool: shared inputs, grouped values, per-person drill-downs.

◆ Current state

Hive's November releases have two tracks. Bulk work got easier with undo and redo, a rebuilt Workflows library and now setting or shifting dates across many actions at once. Reporting got deeper: on November 13 dashboards gained per-person burndown drill-downs, grouped custom-field values in charts, and formulas that read monthly capacity and factors stored in Tables.

◆ Where it's heading

Dashboards are moving from showing tracked time toward capacity planning, with shared inputs that update every report when edited. Bulk editing keeps reaching more views, and each new bulk action ships with undo.

◆ Prediction

Expect more report widgets to accept Tables inputs and drill-downs, and bulk actions extending to fields beyond dates and status.

P5.0

Cells 5.1 gives tag values their own access policies, and 5.1.1 makes them hold up.

◆ Current state

v5.1.0 added access policies for Entity Values, the metadata store v5 introduced, with dedicated CRUD endpoints and an admin flag that stops end users adding new tag values. v5.1.1 follows five weeks later with fixes for that same feature: the restrict-values toggle on TagCloud now switches off, and policy-group caching is safe under concurrent access. The 4.4 branch still gets occasional maintenance releases alongside v5.

◆ Where it's heading

The v5 line has moved from post-launch stabilisation to filling out its metadata and permissions model, and each feature release is followed by a hardening pass on the same code. The releases point toward admins getting finer control over metadata, not toward new end-user features.

◆ Prediction

Expect more 5.1.x patches on policy and metadata performance before a 5.2 adds the next admin control. The entries do not show when the 4.4 branch will stop getting maintenance releases.

Alternatives to Hive and Pydio Cells

Other Collab products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Hive or Pydio Cells.

See all Hive alternatives → · See all Pydio Cells alternatives →

Recent activity from Hive and Pydio Cells

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoHiveCharts can group custom field values into categories
  2. 1d agoHiveReporting formulas can use values stored in Tables
  3. 1d agoHiveBurndown chart points open a per-person breakdown
  4. 1d agoHiveSet, shift or clear dates across many actions at once
  5. 2d agoHiveWorkflows library beta adds filters, grouping and bulk actions
  6. 3d agoHiveUndo and redo for bulk action changes
  7. 11d agoPydio Cellsv5.1.1: tag value restriction toggle fix and policy caching
  8. 1mo agoPydio Cellsv4.4.18: NATS JetStream fix and Collabora feature controls
  9. 1mo agoPydio CellsEntity Value Policies & Metadata Refactor
  10. 1mo agoPydio Cellsv5.0.3: etcd startup fixes and hideable Collabora buttons
  11. 4mo agoPydio CellsServer2Server sync fix and minor deployment fixes
  12. 5mo agoPydio CellsSync engine repairs, iOS compatibility, and new operator tooling

Frequently asked questions

What is the difference between Hive and Pydio Cells?

They serve adjacent needs but don't currently overlap on shipped themes. Hive is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Hive better than Pydio Cells?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hive is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.

What are the best alternatives to Hive?

Top Hive alternatives in Collab are ranked by recent ship velocity. Browse the "Hive alternatives" section above for the current picks, or visit /alternatives/hive for the full list with editorial commentary on each.

What are the best alternatives to Pydio Cells?

Top Pydio Cells alternatives in Collab are ranked by recent ship velocity. Browse the "Pydio Cells alternatives" section above for the current picks, or visit /alternatives/pydio-cells for the full list with editorial commentary on each.