Firebird Reviews

AWS Glue Reviews

Firebird mentions (3)

• GitHub - neondatabase/neon: The serverless open source alternative to AWS Aurora Postgres - Written in Rust

  Y'know, this situation is why Firefox bounced off the names Phoenix and Firebird before settling. Source: about 2 years ago

• Leaving MySQL

  Another big open source DB I'd like to hear about more often is Firebird (https://firebirdsql.org/) which was forked from the Interbase code released by Borland (don't remember how they were called at the time). Four choices of connection model (process-by-connection, thread-by-connection, some weird mix, and in-process), full ANSI SQL, runs on all major platforms, and uses single file databases. Seems to be the... - Source: Hacker News / over 2 years ago

• Any RBDMS that supports in-memory and multi-threaded writes?

  For C/C++ Firebird could be an option, although that isn't really "in memory" as it persists all data to disk. Source: about 3 years ago

AWS Glue mentions (13)

• Build Your Movie Recommendation System Using Amazon Personalize, MongoDB Atlas, and AWS Glue

  AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / 4 months ago

• Using Snowflake data hosted in GCP with AWS Glue

  AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 5 months ago

• How to check for quality? Evaluate data with AWS Glue Data Quality

  It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / 12 months ago

• Deploying a Data Warehouse with Pulumi and Amazon Redshift

  So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - Source: dev.to / over 1 year ago

• Serverless Event Driven AI as a Service

  Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago