Collaborative SQL editor to share queries and visualize data π
Joined May 2017
- Tweets 216
- Following 1
- Followers 1,022
- Likes 166
91 Photos and videos
PopSQL community, we have some news: we've been acquired by @TimescaleDB! π―π
Our team will be joining Timescale to integrate PopSQL and build the best PostgreSQL developer experience for the cloud era. We'll continue to maintain and improve PopSQL for our customers under the Timescale brand, and subscriptions will continue as is.
More details on our blog: popsql.com/blog/popsql-is-joβ¦
And on Timescale's blog: timescale.com/blog/best-postβ¦
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Introducing SQLFluff integration in PopSQL! π
π Achieve consistent SQL code style
π» Get real-time feedback in the editor
ποΈ Admins can tailor linting rules
Learn more about SQL linting in PopSQL for cleaner, more efficient SQL: hubs.la/Q02905SL0
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π Big News! dbt Coreβ’ in PopSQL is out of beta and available to everyone!
Connect your git repo
Update macros, models, and .yml
Compile and run models to preview changes
View dbt docs in autocomplete & schema explorer
Try it now on any plan! hubs.la/Q028_Rlf0
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π Personalize your SQL editor like never before! PopSQL now offers 50 themes. Choose your favorite and code in style!
hubs.la/Q028_W1F0
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π£ BIG NEWS! Introducing the all-new π° @trinodb connector for @popsql. Unlock the power of open-source, distributed #SQL query capabilities right from PopSQL. Experience enhanced performance, federated queries, and much more! Dive in now: hubs.la/Q022Lm9R0
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We're excited to be a part of the ecosystem of tools enabling @MaterializeInc users to operationalize their data! Check out the new PopSQL Materialize integration: hubs.la/Q022kQQf0
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π€Ώ Let's do a deep dive into #SQL normalization. Learn about the benefits, how it impacts your SQL queries, and the step-by-step process to normalize your database. A must-read for beginners and pros. π hubs.la/Q01-74fc0 #DataScience #DatabaseDesign #Data #Normalization
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π Exciting news for #BigQuery users. @popsql now displays BigQuery table metadata on table info pages. Get insights on table description, partition details, last modified at, and more. Learn more here π hubs.la/Q01-74-M0 #SQL #DataAnalytics #GoogleCloud
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π Unlock the power of #DataModeling with @getdbt in our latest blog post. We'll walk you through the process of building #dbt models, from initialization to orchestration. Perfect for those migrating #data to the #cloud. π hubs.la/Q01-6X440 #DataScience #CloudComputing
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π Searching in @popsql just got a major upgrade! Introducing schema search filters, global search filters, and column filters on table pages. Find exactly what you need. Faster. Learn more: hubs.la/Q01ZG3VB0 #sql #dataanalysis #popsql
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π We've completely rebuilt our #autocomplete feature, making your SQL development faster and more efficient. From auto-completion of fully qualified paths to narrowing down columns, we've got you covered. Learn more: hubs.la/Q01ZFXLT0 #SQL #data #popsql
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π€ Dive into the Modern Data Stack with our latest blog post. Learn its components, benefits, challenges, and @popsql's role. Get insights on how to navigate the #Data landscape more effectively. #DataPeople #DataStack #SQL hubs.la/Q01Z3gMC0
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π Check out Run History, a newer feature in @popsql. It logs your SQL runs, tracks errors, and helps find old drafts or continue a teammate's query. Learn more: hubs.la/Q01Whj_10 #PopSQL #DataAnalytics #SQL"
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π PopSQL now integrates with @trinodb supporting direct & cloud connections. You can centralize and share your Trino connection across your team, allowing secure query execution with individual credentials. Learn more at: hubs.la/Q01Vwks10 #PopSQL #Trino #DataAnalysis
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βTesting our latest Datamart product has been super quick [...] We were able to consolidate data from 1,000 production tables to a set of 150 curated tables in a single quarter, thanks to PopSQLβ
Catch up to how @udacity gets more done faster with PopSQL
bit.ly/3BylOMO
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With *new* project filtering, we make it easier and faster for you to zero in on the BigQuery data you care about
PopSQL #BigQuery = Better Together
bit.ly/3S3lrzi
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Curious how much a query will cost you in #BigQuery before you run it? We got you.
We want to make PopSQL the best way for you to work with your BQ data.
Learn more at bit.ly/3S3lrzi
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We've made it easier to dive into your nested and repeated column data in #BigQuery.
Check it out.
bit.ly/3S3lrzi
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Learn how @udacity was able to save 25% of their data team's time, as well as ship their data layer rebuild twice as fast using PopSQL
popsql.com/case-studies/udacβ¦
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Blog: *New* ways to focus, work faster and more efficiently with BigQuery using PopSQL
#analytics #sql
bit.ly/3S3lrzi
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