Apache Flink VS Segment

Apache Flink Reviews

Segment 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 / 24 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 / 4 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

Segment mentions (40)

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

  Segment.com — Hub to translate and route events to other third-party services. 100,000 events/month free. - Source: dev.to / 3 months ago

• We made a tool to detect big signups to your SaaS app. Want to be a beta tester?

  Our app – Upollo – connects with your app event data (like Segment) and payment data (like Stripe) to analyze your users and instantly figure out if someone is an important player in your industry. We also help you convert more users, reduce churn, and expand single seats to teams within a company. We're SOC 2 certified and we take data security very seriously. Source: 5 months ago

• Ledger Live has massive user tracking embedded in it. Here's a fork with all 3rd party trackers removed. See link in comments for context

  Api.segment.io is an API for Twilio for data collection. Source: 5 months ago

• Best Workflow Automation Software to Streamline Your Development Process

  Twilio Segment caters more to marketing and analytics use cases, offering a customer data platform (CDP) to manage customer data across various channels. Twilio Segment provides comprehensive customer data management by taking complex data from your applications, transforming it into a unified source, and subsequently linking it to various platforms. While its primary focus is on marketing, it can be integrated... - Source: dev.to / 8 months ago

• What is the most overpriced marketing tech on the market?

  I am working with our marketing team to implement segment.com into the rest of our technology stack. However I personally think that segment is EXTREMELY overpriced (at least for what we use it for). Source: 11 months ago