glogg VS Materialize

Once you've extracted it, you'll need a text editor capable of opening very large files. I use glogg which lets you open files like this without loading the whole thing at once. Source: about 1 year ago

You can attack huge files with this: https://glogg.bonnefon.org/. Source: over 1 year ago

I've been using https://glogg.bonnefon.org/. The mark / matches feature is really handy. However there are a few bugs with highlighting and it hasn't been updated in a while. Will have to check this out! - Source: Hacker News / over 1 year ago

There's a multi-platform GUI tool glogg that 's very good for browsing and searching files that break normal editors (long lines in particular tend to kill editors even with word wrap enabled). Source: almost 3 years ago

For a nice GUI log file viewer, I really like glogg ( https://glogg.bonnefon.org/ ) which is avaialble windows/mac/linux. - Source: Hacker News / almost 3 years ago

To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 3 months ago

Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 7 months ago

Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 7 months ago

Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / 11 months ago

Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago