The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 5 HTML Benchmark Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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CSharpWasmBenchmark
Comparing the performances of C# Runtime, C# Wasm AOT, C# Wasm Interpreted and JavaScript.
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NetVendor
Finds everything on a network from a Cisco (etc) IP ARP file - Great for benchmarking networks
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Loading a trillion rows of weather data into TimescaleDB | news.ycombinator.com | 2024-04-16TimescaleDB primarily serves operational use cases: Developers building products on top of live data, where you are regularly streaming in fresh data, and you often know what many queries look like a priori, because those are powering your live APIs, dashboards, and product experience.
That's different from a data warehouse or many traditional "OLAP" use cases, where you might dump a big dataset statically, and then people will occasionally do ad-hoc queries against it. This is the big weather dataset file sitting on your desktop that you occasionally query while on holidays.
So it's less about "can you store weather data", but what does that use case look like? How are the queries shaped? Are you saving a single dataset for ad-hoc queries across the entire dataset, or continuously streaming in new data, and aging out or de-prioritizing old data?
In most of the products we serve, customers are often interested in recent data in a very granular format ("shallow and wide"), or longer historical queries along a well defined axis ("deep and narrow").
For example, this is where the benefits of TimescaleDB's segmented columnar compression emerges. It optimizes for those queries which are very common in your application, e.g., an IoT application that groups by or selected by deviceID, crypto/fintech analysis based on the ticker symbol, product analytics based on tenantID, etc.
If you look at Clickbench, what most of the queries say are: Scan ALL the data in your database, and GROUP BY one of the 100 columns in the web analytics logs.
- https://github.com/ClickHouse/ClickBench/blob/main/clickhous...
There are almost no time-predicates in the benchmark that Clickhouse created, but perhaps that is not surprising given it was designed for ad-hoc weblog analytics at Yandex.
So yes, Timescale serves many products today that use weather data, but has made different choices than Clickhouse (or things like DuckDB, pg_analytics, etc) to serve those more operational use cases.
The performance issues are not related to just the DOM and other browser APIs. See https://csharp-wasm-benchmark.acmion.com/ for some simple benchmarks.
HTML Benchmark related posts
- ClickBench – A Benchmark for Analytical DBMS
- Show HN: Stanchion – Column-oriented tables in SQLite
- ClickBench: A Benchmark for Analytical Databases
- DoorDash manages high-availability CockroachDB clusters at scale
- Common Pitfalls in Database Performance Testing (2018) [pdf]
- Hydra: Column-Oriented Postgres
- 1024 chickens, or two oxen? A performance comparison of Redshift and Athena
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A note from our sponsor - WorkOS
workos.com | 20 Apr 2024
Index
What are some of the best open-source Benchmark projects in HTML? This list will help you:
Project | Stars | |
---|---|---|
1 | ClickBench | 567 |
2 | wasm-coremark | 36 |
3 | CSharpWasmBenchmark | 18 |
4 | NetVendor | 3 |
5 | mocki-ui | 2 |
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