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Based on our record, DBeaver seems to be a lot more popular than Apache ORC. While we know about 93 links to DBeaver, we've tracked only 3 mentions of Apache ORC. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It’s cool to show a demo and talk about the infrastructure with cute diagrams, but I always want to prove, even if just to myself, that things work as expected. So I thought a good way to test it would be to try connecting directly to both databases using my database client, DBeaver. - Source: dev.to / about 2 months ago
List of db clients I have bookmarked https://dbeaver.io/. - Source: Hacker News / about 2 months ago
As a great alternative to DBeaver, DBGate provides a variety of tools to manage your databases. Besides in built-in support charts and a query builder, you can use Javascript to query data. It even supports NoSQL drivers and native script builders. Give it a try if your project demands simplicity over in-depth features for SQL databases. - Source: dev.to / 4 months ago
This isn’t meant to be an exhaustive list. There are many other database management software packages out there, including MySQL Workbench, DBeaver, and pgAdmin. We’ve chosen these database tools because they cover the most common database systems and use cases, but if you find they aren’t meeting your needs, be sure to explore further or consider building your own database user interface — it’s easier than you... - Source: dev.to / 4 months ago
Tools like TablePlus, DBeaver, or HeidiSQL provide visual query building interfaces. While not performance analysis tools per se, they can help you build and understand complex queries more easily. - Source: dev.to / 7 months ago
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / over 2 years ago
The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / almost 3 years ago
DataGrip - Tool for SQL and databases
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.