![]() ![]() We hope that these improvements will allow you to do more exciting things in a more enjoyable way. Installed in your favorite JetBrains IDE, Big Data Tools helps develop. Need more help? Leave us a message here in the comments or on Twitter. A bundle of plugins for data engineers and other specialists engaged with big data workloads. We’re actively developing and enhancing the Big Data Tools plugin and doing our best to get the most of your feedback and fix as many bugs as possible.įor an overview of the recent key improvements, please visit the What’s New section of the plugin page that includes the release notes.Īnd last but not least, if you’re looking for more information about how to use any of the plugin’s features, check out the IntelliJ IDEA, P圜harm, DataGrip or DataSpell documentation. pgAdmin pgAdmin is the de facto GUI tool for PostgreSQL, and the first tool anyone would use for PostgreSQL. Let’s start with the first and most popular one. Notifications of execution completion for notes and cells Top PostgreSQL GUI Tools Today I will tell you about the 6 best PostgreSQL GUI tools. ![]() This year, we introduced a number of new features as well as some features that have been there for a while, for example, running Spark Submit with a run configuration.Ībility to choose Python interpreter for the local Spark Submit If you still use previous versions, now is the perfect time to upgrade both your IDE and the plugin. The plugin also supports our new data science IDE – JetBrains DataSpell. DataGrip 2021.3 EAP support will be available immediately after the release in October. Enjoy fast writes and reads anywhere in the world with turnkey data replication and multi-region writes.Recently we released a new build of the Big Data Tools plugin that is compatible with the 2021.3 EAP versions of IntelliJ IDEA Ultimate and P圜harm Professional. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.
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