risingwave
chdb
| risingwave | chdb | |
|---|---|---|
| 27 | 18 | |
| 6,309 | 1,702 | |
| 2.2% | 2.8% | |
| 10.0 | 9.5 | |
| 5 days ago | 10 days ago | |
| Rust | C++ | |
| 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.
risingwave
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Proton, a fast and lightweight alternative to Apache Flink
How does this compare to RisingWave and Materialize?
https://github.com/risingwavelabs/risingwave
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RisingWave's Roadmap - Redefining Stream Processing with the Rust-Built Streaming Database
Hey everyone - One and a half year ago, we open sourced RisingWave, a Rust-built streaming database, under Apache 2.0 license. Two weeks ago, we released RisingWave 1.3. Just last week, we unveiled RisingWave's roadmap.
- Risingwave: Redefining Stream Processing
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Highlights of RisingWave v1.3: The Open-Source Streaming Database
Look out for next month’s edition to see what new, exciting features will be added. Check out the RisingWave GitHub repository to stay up to date on the newest features and planned releases.
- Optimizing Rust Code for the Lsm-Tree Iterator in RisingWave
- Hummock: A Storage Engine Designed for Stream Processing
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RisingWave 1.2 released - the open-source streaming database built in Rust
If interested, please feel free to join our Slack community! Thanks eveyone for your generous support!
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Query materialized views with Java, Spring, and streaming database
We will spin up on our local environment the existing RisingWave fully-featured demo cluster on GitHub which is composed of multiple RisingWave components. To simplify this task, it leverages docker-compose.yaml file which includes additional containers for Kafka message broker, and data generation service.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
To complete the steps in this guide, you must download/clone and work on an existing sample project on GitHub. The project uses Docker for convenience and consistency. It provides a containerized development environment that includes the services you need to build the sample data pipeline.
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Flink CDC / alternatives
Hey have you looked at RisingWave (https://github.com/risingwavelabs/risingwave) before? It's a stream processing system with PostgreSQL interface. It also have integrations similar to Flink CDC.
chdb
- FLaNK Stack Weekly 06 Nov 2023
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DB Pilot: Query Postgres, files, S3 and more – all at once, from your laptop
Hey HN, creator of DB Pilot here.
I first announced DB Pilot on HN back in April: https://news.ycombinator.com/item?id=35761979.
Since then a lot has improved: More databases are supported, most of the product can now be used for free, and most importantly:
The app now comes with an analytics workspace powered by an embedded ClickHouse instance, running locally on your machine. This allows you to query local files, files on S3, PostgreSQL, SQLite & more - and all of those at once.
Embedding ClickHouse was possible thanks to chDB (https://github.com/chdb-io/chdb). A recent discussion on HN about it: https://news.ycombinator.com/item?id=37985005
- ChDB: Embedded OLAP SQL Engine Powered by ClickHouse
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DuckDB 0.9.0
I recommend using ClickHouse instead of DuckDB.
It has been around since 2016, and it covers and extends the feature set of DuckDB with a huge margin. Worth noting that it never has breaking changes in its table format MergeTree.
I'm tracking the progress of DuckDB and see that it is modeled after ClickHouse, but does not approach it in terms of feature completeness, stability, or performance.
The closest to DuckDB option is to use its self-contained version, clickhouse-local: https://clickhouse.com/blog/extracting-converting-querying-l... or an embedded version, chdb: https://github.com/chdb-io/chdb
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Is ClickHouse Moving Away from Open Source?
Different beasts, but if by any chance you love ClickHouse already and just want to run OLAP queries in-process, there's chdb: https://github.com/chdb-io/chdb
- ChDB: An Embedded OLAP SQL Engine Powered by ClickHouse
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PRQL, Pipelined Relational Query Language
> Can you embed it in Python as a library?
https://github.com/chdb-io/chdb
pip install chdb -
Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
New kid on the block that I prefer over DuckDB is CHDB (https://github.com/chdb-io/chdb). Embedded ClickHouse, so once you out grow your laptop you can simply move to an actual OLAP that's Open-source.
- ClickHouse-local and chdb performance issue on clickbench Q.23 Q28
What are some alternatives?
materialize - The data warehouse for operational workloads.
duckdb-wasm - WebAssembly version of DuckDB
datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]
openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™
ksql - The database purpose-built for stream processing applications.
chdb-cli - Simple CLI / REPL for chdb made in Python
greptimedb - An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.
sqlite_blaster_python - A library for creating huge Sqlite indexes at breakneck speeds
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
glaredb - GlareDB: An analytics DBMS for distributed data
arroyo - Distributed stream processing engine in Rust
pyprql - Python extensions for PRQL