nhourcard

5 ms·

1.
The most expensive instruction might be cmov(questdb.com)
2 points by nhourcard 3mo ago|0 comments
2.
by nhourcard 3mo ago
TSBS (Time Series Benchmarking Suite) is as close as it gets
3.
QuestDB (YC S20) Is Hiring a Core Database Engineer – C++ and Rust(questdb.com)
1 points by nhourcard 1y ago
4.
by nhourcard 1y ago
QuestDB | C++/Rust Database Engineer | REMOTE| | Full-time | https://www.questdb.com Work with world-class engineers - including two teammates who placed in the top 10 of the One Billion Row Challenge (1BRC). As a specializ
5.
When AI optimizations miss the mark: A case study in array shape calculation(questdb.com)
1 points by nhourcard 1y ago|0 comments
6.
QuestDB (YC S20) Is Hiring a Technical Content Lead(questdb.com)
1 points by nhourcard 1y ago
7.
QuestDB (YC S20) Is Hiring a Core Database Engineer(questdb.io)
1 points by nhourcard 2y ago
8.
by nhourcard 2y ago
TLDR from the article; Alternatives (which are open source) to KDB+ are split into two categories: New Database Technologies (tick data store & ASOF JOIN): Clickhouse & QuestDB Local Quant Analysis: Python – with DuckDB & Polars
9.
by nhourcard 2y ago
QuestDB | Remote | Full-time | questdb.io QuestDB is one of the fastest-growing time series databases and is growing its engineering team. QuestDB is open source, and the code is available under Apache 2.0 at https://github.com&#
10.
by nhourcard 2y ago
Interesting release, it feels that the time-series database landscape is evolving toward: a) columnar store & built from scratch, with convergence toward open formats such as parquet & arrow: influxdb 3.0, questdb b) Adding time-ser
11.
QuestDB (YC S20) Is Hiring a Core Database Engineer(questdb.io)
1 points by nhourcard 2y ago
12.
QuestDB (YC S20) Is Hiring a Senior Front-End Engineer(questdb.io)
1 points by nhourcard 2y ago
13.
by nhourcard 2y ago
About the market data & monitoring element, beyond the usual suspects Clickhouse and kdb+ - worth noting that Aquis mentioned in this article uses QuestDB ( https://questdb.io/case-study/aquis/ )
14.
by nhourcard 3y ago
In QuestDB, only SYMBOL columns can be indexed. However, sometimes, queries can run faster without indexes. This is because, under the hood, QuestDB runs very close to the hardware and only lifts relevant time partitions and columns for a g
15.
OLAP vs. Time-Series Databases: The SQL Perspective(questdb.io)
2 points by nhourcard 3y ago|0 comments
16.
by nhourcard 3y ago
QuestDB | Core Database Engineer (Java, C++, Rust) | full time | Remote | https://questdb.io/ About QuestDB We are building an open source time series database focused on performance and simplicity. QuestDB is used to store
17.
by nhourcard 3y ago
indeed! thank you for that :)
18.
Building a faster hash table for high performance SQL joins(questdb.io)
82 points by nhourcard 3y ago|34 comments
19.
QuestDB (YC S20) is hiring a core database engineer(questdb.io)
1 points by nhourcard 3y ago
20.
by nhourcard 3y ago
Not for CSV import via SQL COPY sadly
21.
by nhourcard 3y ago
Sorry to hear about your painful past experience and thanks for sharing this feedback. QuestDB improved a lot in the past two years and it's much more robust and production-ready now. A couple of things the engineering team did to addr
22.
by nhourcard 3y ago
I'd be curious to hear how RDS is starting to fall over with time series data, is it a bottleneck on ingestion, queries, or both?
23.
Confluent's stock gets hammered on weak revenue guidance(siliconangle.com)
3 points by nhourcard 3y ago|0 comments
24.
by nhourcard 3y ago
Awesome, don't hesitate to reach out to the team at https://slack.questdb.io/ if you have any questions!
25.
by nhourcard 3y ago
I agree that the difference in versions is confusing! If InfluxDB is not the right fit, QuestDB can be a good drop-in replacement as it uses a high-performance implementation of the InfluxDB Line Protocol for ingesting data and SQL for quer
26.
by nhourcard 3y ago
our wework in waterloo is quite full, especially on tuesday/thursday. Astonishingly, there are still two baristas serving coffees from state of the art La Marzocco coffee machines. All this while the share price collapsed and the marke
27.
by nhourcard 3y ago
Different needs dictate different design choices for optimality. Could not agree more. Even for time series, which could be seen as a subset of OLAP, trade-offs and design choices inherent to time-series data are necessary. As an example of
28.
by nhourcard 3y ago
have you given QuestDB a try? it includes its implementation of the InfluxDB Line Protocol, adds SQL for queries and can sustain a higher ingestion rate, without high cardinality limitations
29.
by nhourcard 3y ago
Each database will differentiate itself and shine for specific workloads. A case in point is QuestDB, which deals very well with heavy ingestion (high cardinality / out-of-order data). This lends itself well to use cases around financi
30.
by nhourcard 3y ago
Folks with a background in electronic trading (FX, hedge funds, trading firms etc) are familiar with zero-gc Java. London / NY / HK are a good pool of talent in that respect

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