proton
nifi
| proton | nifi | |
|---|---|---|
| 10 | 35 | |
| 1,293 | 4,429 | |
| 3.8% | 2.2% | |
| 9.7 | 9.9 | |
| 6 days ago | 4 days ago | |
| C++ | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
proton
- FLaNK-AIM Weekly 06 May 2024
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Loading a trillion rows of weather data into TimescaleDB
What's the process for adding support for other databases to your tool qStudio?
I'm thinking perhaps you could add support for Timeplus [1]? Timeplus is a streaming-first database built on ClickHouse. The core DB engine Timeplus Proton is open source [2].
It seems that qStudio is open source [3] and written in Java and will need a JDBC driver to add support for a new RDBMS? If yes, Timeplus Proton has an open source JDBC driver [4] based on ClickHouse's driver but with modifications added for streaming use cases.
1: https://www.timeplus.com/
2: https://github.com/timeplus-io/proton
3: https://github.com/timeseries/qstudio
4: https://github.com/timeplus-io/proton-java-driver
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Comparing Timeplus Proton and ksqlDB for stream processing
* Proton is more developer friendly
To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton) or create your own workspace on [Timeplus Cloud](https://timeplus.com).
- FLaNK Stack Weekly 19 Feb 2024
- Proton, a fast and lightweight alternative to Apache Flink
- Proton, extending the historical data, storage, and computing of ClickHouse
- Proton, a unified database for streaming and historical data in a single binary
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First 15 Open Source Advent projects
5. Proton by Timeplus | Github | tutorial
- Timeplus has open-sourced its core streaming processing engine Proton
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
What are some alternatives?
ytsaurus - YTsaurus is a scalable and fault-tolerant open-source big data platform.
Logstash - Logstash - transport and process your logs, events, or other data
proton-python-driver - Python driver for Proton which support Proton native wire protocol
superset - Apache Superset is a Data Visualization and Data Exploration Platform
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
meltano
duckdb - DuckDB is an in-process SQL OLAP Database Management System
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
POCO - The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: