Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression. Learn more →
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metriql reviews and mentions
Getting started with a metrics store
2 projects | dev.to | 5 Mar 2023
Some of the companies that operate in space are Cube Dev; Transform(currently acquired by dbt); metriql. See more companies at https://www.moderndatastack.xyz/companies/metrics-store.
Launch HN: Hydra (YC W22) – Query Any Database via Postgres
4 projects | news.ycombinator.com | 23 Feb 2022
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  with a fairly different use-case. Data people provide a semantic layer with the mecrics and expose them to 18+ downstream tools.
Open source Business intelligence platform made with Python
7 projects | news.ycombinator.com | 28 Nov 2021
We're using Superset to enable our analysts to explore our clients' SEM/SEO/analytics data. It also posts alerts to Slack when, say, the daily session count of a website isn't what was expected given the historical data.
Yeah, it's a little rough to get going, but once it is, we've found it to be a really powerful (and actively developed!) BI tool. It's even better with dbt + MetriQL , which can automatically sync Superset's dataset metadata directly with properties you set up in dbt.
Adding custom visualizations is much harder than it should be, but they're very much aware of that, and working to address it. Their Slack community is super-helpful, too.
Show HN: Low-Code Metrics Store
2 projects | news.ycombinator.com | 8 Sep 2021
As a current Looker power-user, this looks really solid.
One thing I’m not sure about though: can you use the metrics outside of the native tool, and if so how?
That is, I see Looker as a BI tool, not a metrics layer, since you mainly use the metrics you define inside Looker, not in other tools. On the other hand, something like MetriQL is a pure metrics layer that can supposedly be used anywhere.
Is this both? If so, some better documentation around how to use the metrics layer would be helpful (or maybe I just didn’t look in the right place).
Notes on the Perfidy of Dashboards
2 projects | news.ycombinator.com | 27 Aug 2021
3. Define metrics in one place on top of your data models and expose the metrics to all the data tools. (This layer is new, and we're tapping it at https://metriql.com)
Launch HN: Evidence (YC S21) – Web framework for data analysts
4 projects | news.ycombinator.com | 25 Aug 2021
We use BSL license and metriql is free with a single database target. If you want to connect multiple dbt projects in a single deployment, you need to go through the sales cycle.
We work with ETL vendors that use metriql to make revenue with our BI tool integrations so we picked BSL license to be able to structure our business model in a way that you should be required to pay only if you're reselling metriql to your customers.
You can find the license here: https://github.com/metriql/metriql
A note from our sponsor - InfluxDB
www.influxdata.com | 28 Mar 2023
metriql/metriql is an open source project licensed under Apache License 2.0 which is an OSI approved license.