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crul vs nodbi

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

Shared themes:ropensci

crul vs nodbi: at a glance

Featurecrulnodbi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshttp-client, async, mocking, ropenscidocument-databases, json, duckdb, sqlite
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is crul?

crul took mocking back from webmockr and made it a property of the client itself

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

Read the full crul trajectory →

What is nodbi?

One document API over six databases, and every release is spent absorbing their JSON engines' churn

nodbi presents a single document-store interface — docdb_create, docdb_query, docdb_update — over SQLite, DuckDB, PostgreSQL, MongoDB, CouchDB and Elasticsearch. The engineering reality behind that abstraction is that each backend's JSON support keeps moving, and the releases show it: jsonb_tree adopted as RSQLite 2.4.4 exposes it, json_tree reworked for DuckDB 1.3.0, then avoided entirely for DuckDB listfields because it was too slow. The 0.11.0 release in late 2024 is the one that changed the contract, making docdb_query() return columns of a single consistent type.

Read the full nodbi trajectory →

crul vs nodbi: editorial side-by-side

C
crul
ANALYTICS
0.0

crul took mocking back from webmockr and made it a property of the client itself

◆ Current state

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

◆ Where it's heading

The async surface has been the growth area for years — retries reached Async, AsyncVaried, AsyncQueue and HttpRequest in 1.4, AsyncQueue gained the response accessors in 1.2, and 1.5.0 wired async requests up to webmockr. The 1.6.0 change reverses that direction of dependency, and it landed within a minute of webmockr's own release severing its tie to vcr. Read together, the rOpenSci HTTP stack is being deliberately untangled so each package can be used without the others.

◆ Prediction

With mock() deprecated rather than removed, the next major release is the likely point of deletion. Expect the remaining work to follow the same decoupling theme rather than adding request features.

N
nodbi
ANALYTICS
0.0

One document API over six databases, and every release is spent absorbing their JSON engines' churn

◆ Current state

nodbi presents a single document-store interface — docdb_create, docdb_query, docdb_update — over SQLite, DuckDB, PostgreSQL, MongoDB, CouchDB and Elasticsearch. The engineering reality behind that abstraction is that each backend's JSON support keeps moving, and the releases show it: jsonb_tree adopted as RSQLite 2.4.4 exposes it, json_tree reworked for DuckDB 1.3.0, then avoided entirely for DuckDB listfields because it was too slow. The 0.11.0 release in late 2024 is the one that changed the contract, making docdb_query() return columns of a single consistent type.

◆ Where it's heading

Two threads dominate. The first is performance, pursued backend by backend: fast direct NDJSON import moved from DuckDB-only to SQLite and PostgreSQL, query refactors chasing each DuckDB release, and the removal of expensive tree-walking where a cheaper path exists. The second is making results predictable — consistent column types, version checks on the database backend, clearer messages when a Postgres database does not exist yet or when column names contain the dots nodbi reserves for JSON paths.

◆ Prediction

Given that most recent releases are triggered by DuckDB and RSQLite version changes, the next one likely follows the same pattern — adopting a new JSON function or working around a slow one. The duplicate-_id handling added in 0.14.0 suggests NDJSON ingestion edge cases are the current active area.

Alternatives to crul and nodbi

Other Analytics 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 crul or nodbi.

See all crul alternatives → · See all nodbi alternatives →

Recent activity from crul and nodbi

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

  1. 8mo agonodbijsonb_tree adopted; $in string queries and duplicate _id handling fixed
  2. 1y agocrulMocking becomes a client parameter, independent of webmockr
  3. 1y agonodbiDuckDB version parsing and listfields fix
  4. 1y agonodbidocdb_query reworked for DuckDB 1.3.0
  5. 1y agonodbiNDJSON writing delegated to DuckDB's internal function
  6. 1y agonodbiQuery results get consistent column types; fast NDJSON import reaches SQLite and Postgres
  7. 1y agonodbiQuery and file-import speedups via newer DuckDB features
  8. 2y agocrulAsync requests become mockable through webmockr
  9. 2y agocrulDocumentation fixes and test helper tweak
  10. 3y agocrulHTTP retries reach the async classes
  11. 3y agocrulClearer error for mismatched urls and disk lengths
  12. 4y agocrulAsyncQueue gains response accessors; results print as a summary

Frequently asked questions

What is the difference between crul and nodbi?

Both compete on the same themes — ropensci — within Analytics. crul and nodbi are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is crul better than nodbi?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crul and nodbi are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to crul?

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

What are the best alternatives to nodbi?

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