Boomi VS Apache Flink

Boomi Reviews

Apache Flink Reviews

Boomi mentions (10)

• The Boomi community you didn't know you needed

  This community goes beyond just fostering camaraderie. It empowers Boomi developers by enabling them to collaborate, share knowledge, and overcome challenges together. Ultimately, this collaborative environment pushes the boundaries of what's possible with Boomi integrations. - Source: dev.to / 12 days ago

• How to automate email sending from MySQL databases using Boomi

  An Integration platform as a service (iPaaS), like Boomi, is known for integrating platforms and data from different services. However, another interesting feature of the iPaaS solution is its ability to ensure efficient communication with your business clients. - Source: dev.to / 26 days ago

• How to convert XML files to CSV format using Boomi in Docker

  A Boomi platform account: if you do not have one, create a 30-day free trial account. - Source: dev.to / about 1 month ago

• How to sync your MySQL database with Salesforce in Docker using Boomi

  iPaaS systems like Boomi shine even brighter thanks to their intuitive and user-friendly interfaces. These solutions simplify integration with third-party applications, like Salesforce for customer management and Eyer for complete visibility. No matter how complex the integrations become, iPaaS platforms like Boomi empower us to achieve our goals without compromise. In other words, we can leverage the power of... - Source: dev.to / about 2 months ago

• Password Synchronization Between Keeper Password Manager and Hudu

  I am blessed in the case that we have in house developers I can work with. In our case we use Boomi to handle API integrations. Source: about 1 year ago

Apache Flink mentions (28)

• Show HN: An SQS Alternative on Postgres

  You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 6 days ago

• 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 / about 1 month 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