Apache Flink Reviews

Timemator Reviews

Apache Flink mentions (30)

• Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust

  Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 5 days ago

• Array Expansion in Flink SQL

  I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 25 days ago

• 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 / about 1 month 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 / 2 months 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 / 4 months ago

Timemator mentions (5)

• Poll: What would be a fair (lifetime) price for this tool?

  I think this is a great tool. I ve used other time tracking tools like https://timemator.com/ and they struggled with keeping track of different projects. I would price similar or a bit less for incentive as a new tool. I would buy for $20, espesially since it keeps track of different apps. Nice work! Source: about 1 year ago

• Screen data from other devices

  I just discovered the Timing app, which can import iPhone and iPad data to track what you spent time on, not only the application, but also the file and website, from when until when. Here it is. Unfortunately I already have an app that tracks automatically my uses in my Mac (Timemator). Source: about 1 year ago

• Need recommendation for a simple time-tracking app

  That's all. The only possibility I've identified is Timemator, which appears to do what I want along with a whole lot more that I don't need. Source: over 1 year ago

• A lightweight time-tracking app for mac OS?

  Yeah, Timemator would be the best solution apart from the lack of features of client management, but that is not your case. Source: over 1 year ago

• Be happier with your time by tracking how you spend it...

  Dashboards - timemator.com or tyme-app.com- think of things to change without proactively helping you make changes. Source: about 3 years ago