Apache Flink VS CircleCI

Apache Flink Reviews

CircleCI Reviews

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 / 26 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

CircleCI mentions (61)

• Most Useful CI/CD Tools for DevOps

  CircleCI is a leading cloud-native CI/CD platform that empowers developers to rapidly build, test, and deploy their applications at scale. It is highly configurable and has rich integrations and performance optimization tools. These features have made it a favorite among modern development teams seeking agility and speed. - Source: dev.to / 24 days ago

• The Essential Guide to Internal Developer Platforms

  For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository. - Source: dev.to / about 2 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  CircleCI — Comprehensive free plan with all features included in a hosted CI/CD service for GitHub, GitLab, and BitBucket repositories. Multiple resource classes, Docker, Windows, Mac OS, ARM executors, local runners, test splitting, Docker Layer Caching, and other advanced CI/CD features. Free for up to 6000 minutes/month execution time, unlimited collaborators, 30 parallel jobs in private projects, and up to... - Source: dev.to / 3 months ago

• Supercharge Your Mobile Dev Skills: 10 Essential Tools for Max Efficiency

  CircleCI: Another popular CI/CD platform that offers powerful features and ease of use. - Source: dev.to / 4 months ago

• How to Get Preview Environments for Every Pull Request

  Preevy is designed to be easily run in CI/CD workflows, such as GH Actions, Circle CI and others. - Source: dev.to / 5 months ago