DBeaver VS Apache Flink

DBeaver Reviews

Apache Flink Reviews

DBeaver mentions (93)

• I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)

  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

• DBeaver – open-source Database client

  List of db clients I have bookmarked https://dbeaver.io/. - Source: Hacker News / about 2 months ago

• 15 open-source tools to elevate your software design workflow

  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

• Five Free Open-Source Database Managers for MySQL, PostgreSQL, and More

  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

• From Good to Great: Scaling Applications with TypeORM Optimization

  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

Apache Flink mentions (27)

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 25 days ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

• Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog

  Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago