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 / 2 days ago

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 / 22 days ago

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

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

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

How does this compare to PouchDB[1]? [1]: https://pouchdb.com/. - Source: Hacker News / 5 months ago

Meteor wrapped the MongoDB API for this purpose. You are working with collections and can run the same queries over them, regardless of whether you are connected to a DB instance or the browser's local storage. For CouchDB an equivalent exists in the form of PouchDB: https://pouchdb.com/. - Source: Hacker News / 9 months ago

Not sure if you're thinking more of an official standard but PouchDB is open source and sounds similar to what you're talking about: https://pouchdb.com/. - Source: Hacker News / 10 months ago

I have another use case that DO would be perfect for, and that's sync for offline first apps. I have two offline first apps, both using PouchDB[1] as client database and CouchDB as server database. I'd love to replace CouchDB with DO. Maybe you can hire some of the people contributing to PouchDB to build a backend for it using DO? [1]: https://pouchdb.com. - Source: Hacker News / 11 months ago

PouchDB might be of interest - https://pouchdb.com/ - "PouchDB was created to help web developers build applications that work as well offline as they do online. Source: over 1 year ago