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duckdb-wasm discussion
duckdb-wasm reviews and mentions
- The DuckDB Local UI
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How about trailing commas in SQL?
DuckDB has this feature:
duckdb> select 1,2,;
returns 1 and 2
https://shell.duckdb.org
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Ask HN: How did you scale your analytics workloads (Postgres)?
DuckDB should give you everything with regards to DevEx that you seem to be needing.
You're not specifying what volume we're talking about here, but I'd be surprised if you can't go a long way with DuckDB. Ultimately the bottleneck for latency will be memory?
You can run it in a browser [0].
DuckDB's docs and blog are full of great content with regards to optimizing:
How to tune workloads: https://duckdb.org/docs/guides/performancehow_to_tune_worklo...
Performance guide: https://duckdb.org/docs/guides/performance/overview.html
Optimizers in DuckDB: https://duckdb.org/2024/11/14/optimizers.html
I'm sure there is more.
If I were in your shoes, even if you don't settle on DuckDB, it would be my go to benchmark due to ease of use and unoptimized speed.
Anything else out there like chDB (Clickhouse) or Apache Datafusion should be worth the effort.
For a detailed benchmark of DuckDB vs. Clickhouse for an orientation, see: https://bicortex.com/duckdb-vs-clickhouse-performance-compar...
0: https://github.com/duckdb/duckdb-wasm
- Notes on the new Claude analysis JavaScript code execution tool
- Sqlite3 WebAssembly
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What Happens When You Put a Database in the Browser?
I tried https://shell.duckdb.org/, but it was a very rough experience.
The "delete" button does not work. The "home" button inserts a whitespace. Pasting with "Ctrl+v" also does not work. Every keypress results in blinking, and there is a notable input lag.
When I tried a query
duckdb> SELECT * FROM 'https://clickhouse-public-datasets.s3.amazonaws.com/github_events/partitioned_json/*.gz'
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Big Data Is Dead
I witness the overengineering regarding "big" data tools and pipelines since many years... For a lot of use cases, data warehouses and data lakes are only in the gigabytes or single-digit terabytes range, thus their architecture could be much more simplified, e.g. running DuckDB on a decent EC2 instance.
In my experience, doing this will yield the query results faster than some other systems even starting the query execution (yes, I'm looking at you Athena)...
I even think that a lot of queries can be run from a browser nowadays, that's why I created https://sql-workbench.com/ with the help of DuckDB WASM (https://github.com/duckdb/duckdb-wasm) and perspective.js (https://github.com/finos/perspective).
- Lo – simple WASM native language
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Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
i think duckdb-wasm is closer to 6MB over wire, but ~36MB once decompressed. (see net panel when loading https://shell.duckdb.org/)
the decompressed size should be okay since it's not the same as parsing and JITing 36MB of JS.
- 42.parquet – A Zip Bomb for the Big Data Age
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A note from our sponsor - SaaSHub
www.saashub.com | 15 Mar 2025
Stats
duckdb/duckdb-wasm is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of duckdb-wasm is TypeScript.