Viewing profile — tingfirst

Makes sense if you prefer scanning the whole picture first. Whole-to-parts vs. parts-to-whole is a different mindset. I personally like fade-in in some cases—it helps me focus on o…

Temporal binding is one of the hardest problems in visualization, all about aggregations across different time windows. And it gets even harder when the clock never stops and live …

All streaming processors face the same fundamental problem: Streaming joins require maintaining state for both sides of the join High-cardinality data (millions of unique keys) mea…

Redpanda + Timeplus, the perfect pair for data streaming developers. No JVM, ZK ...

Probably the smallest yet most powerful binary for real-time, incremental SQL data processing, end to end!

Consistently we heard about ClickHouse has very limited materialized views that can't handle real-time pipeline fast efficiently enough. would love to see more comments here.

Data sources are usually in Kafka, or other operational databases like Postgres or MySQL 1. Table A : fact events, high-throughput (10k~1M eps), high-cardinality 2. Table B, C, D :…

Is there a native SQL pipeline tool for ClickHouse that processes real-time data incrementally, with low latency, large throughput and high efficiency, similar to Snowflake’s Dynam…

For parallel programming, what's OS-level difference compared to languages like Python or modern C++? Domain.spawn (fun _ -> print_endline "I ran in parallel") Anyway, love the sim…

AI can be hallucination but real-time detection is key

re EPS and CPU utilization, WS still performs better than SSE?

For OCaml users interested in data streaming processing (similar to Flink or Spark), but looking for a faster and more efficient option, check out this OCaml plugin Timeplus Proton…

For OCaml users interested in data streaming processing (similar to Flink or Spark), but looking for a faster and more efficient option, check out this OCaml plugin Timeplus Proton…

Pretty cool to see a C++ R/W Iceberg client without dependency, and even better open-sourced. The pipeline is all about processing and routing, ideally, to open and flexible destin…

Design principles of Timeplus Proton are simplicity, speed and efficiency. That's why we love ClickHouse, the fastest and most lightweight approach for real-time analytics. Further…

Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse c…

Redpanda Proton ClickHouse: A perfect match as a single-binary approach for a lightweight and high-performance data streaming processing and analytics in one compact box!

Great points! SQLite as an analogy is fantastic for its small footprint. Swift download, deployment, and testing significantly boost dev productivity. Moreover, the dependency-free…

As a streaming SQL engine, Proton is a fast and lightweight alternative to Apache Flink, powered by ClickHouse. It can help developers solve the data streaming challenges from proc…