buremba

14 ms·

181.
by buremba 3y ago
Looks like a cool product with the front-end integration but looking at the license, I can't understand how I'm supposed to use it when you use an Elastic license. While I understand Elastic's goal of preventing other compani
182.
by buremba 3y ago
In my own testing, Copilot has much better suggestions compared to GPT-4
183.
by buremba 3y ago
It sounds similar to how Keen.io works but all these concepts are fairly established: https://softwareengineeringdaily.com/2016/05/23/kafka-storm-... Considering they use many distributed systems under the ho
184.
by buremba 3y ago
You can build low-code tools with Refine though. One of my side projects Jinjat ( https://jinjat.com ) uses Refine as the UI framework to render the data models that you have in your dbt project, as an example. Retool is an end-to
185.
by buremba 3y ago
It's not production ready yet but here is the instructions: https://jinjat.com/docs/deploy Also an example project with Fly.io integration: https://github.com/jinjat-data/jaffle_shop_metrics
186.
by buremba 3y ago
This is cool! I have been working on something similar as a side project as I believe that we need something similar to Streamlit but for SQL. I use dbt as the application framework so the approach is a combination of Jinja + SQL + YML file
187.
by buremba 3y ago
So the best JS library is the one that doesn't have any JS?
188.
by buremba 3y ago
I'm not really sure Github prioritizes the high availability anymore. These outages might be a way to motivate the customers switch to Github's self-hosted enterprise solution which is the revenue stream for Github. If they'r
189.
by buremba 4y ago
The API seems pretty similar to Streamlit, another library to create data apps with Python Given thar it’s more popular compared to Pynecone based on Github, how do you plan to differentiate? I would love to hear about the way that you com
190.
by buremba 4y ago
Cool! How does it work in practice? Looking at the PR, it seems to pull all the data from Duckdb but is there any plan to apply the transformations (filter, aggregate that the user selected in UI) in Duckdb while rendering the chart?
191.
by buremba 4y ago
This is pretty cool! It uses Vega transforms under the hood, right? The default backend uses JS for transformation which is slow for large datasets. Did you consider using Duckdb under the hood via WASM? I run into this project but not sure
192.
by buremba 4y ago
They don't bet against Postgres
193.
by buremba 4y ago
Same as Jsonnet but it's only a small part of the picture. For someone who use JSON, I expect the adoption of CUE to be incremental but in reality I need to use CUE's own syntax to get the value out of it. Jsonnet was was closer t
194.
by buremba 4y ago
The friction is still too much IMO. While I love the configuration languages, I still find myself writing YAML because it's much simpler. The tooling support is getting there but I don't understand why these tools introduce their
195.
by buremba 4y ago
You can utilize BI engine for this exact purpose: https://cloud.google.com/bigquery/docs/bi-engine-query
196.
by buremba 4y ago
If you're in such position, you're probably ahead of the competition so don't think it's already late.
197.
by buremba 4y ago
OK, I get that you built such systems. Can you let us know about the other bots that can behave like a "8 years old"?
198.
by buremba 4y ago
Java programs tend to use the memory they're given to provide the best performance in the server environments so it's not conservative in terms of memory allocation. While it does use more memory in a given time, it doesn't n
199.
by buremba 4y ago
Is the comparison using on-disk persistent storage of Memgraph? The facts that they're both ACID-compliant and you can backup the data to disk in Memgraph are not relevant IMO considering the fact that I/O is the main driver for t
200.
by buremba 4y ago
The memory/disk is actually a huge difference for durability and a really important factor when making a decision to use a database. I believe it would be good to mention it in the benchmark for fair comparison.
201.
by buremba 4y ago
I thought that the deployment pipelines are part of their core business considering AWS has such products that are meant to be used by customers. I assume that the internal tools are different than what AWS customers use for deployments?
202.
by buremba 4y ago
Congrats on your launch! What's the data source that I can add? Does it also need to be another database listed here (1)? Does that mean that I need to move the data to one of these databases in order to sync our customer data to their
203.
by buremba 4y ago
I believe they need to focus on the performance at least nowadays because both Databricks & BigQuery are also great products and they push Snowflake in terms of feature-parity and performance. That being said, Snowflake is also pushing
204.
by buremba 4y ago
I like the idea! Is there any plan to support existing scheduler / orchesrator tools such as Airflow?
205.
by buremba 4y ago
Columnar storage, pre-aggregation, and advanced indexing techniques based on algorithms like bloom indexes, hyperloglog, etc.
206.
by buremba 4y ago
I don't think s because it looks like they re-use some of the vectorized columnar engine that's being used for BigQuery
207.
by buremba 4y ago
Well, they produce JSON though. I understand that there is much more context related to the user interface but you can extend JSON Schema to be able to tie more information to it. It's an incredibly flexible & collaborative way to
208.
by buremba 5y ago
It's creative indeed!
209.
by buremba 5y ago
Presto is pretty successful but its focus is to be distributed query engine, not a proxy layer for the existing query engines. We use Trino ( formerly Presto) as our query layer and do something similar to Hydra at Metriql [1] with a fair
210.
by buremba 5y ago
Then let me know what else should I use for schemaless data

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