WeDataSphere
risingwave
| WeDataSphere | risingwave | |
|---|---|---|
| 7 | 31 | |
| 662 | 7,657 | |
| 0.3% | 3.4% | |
| 5.0 | 10.0 | |
| about 1 year ago | 3 days ago | |
| Rust | ||
| - | 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.
WeDataSphere
risingwave
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Simplifying SQL function implementation with Rust procedural macro
Then, utilize declarative macros to generate various types of kernel functions, including functions with 1, 2, and 3 parameters, as well as the input/output combinations of T and Option. Common kernels like unary, binary, ternary, unary_nullable and unary_bytes are generated, partially addressing the last two issues. (For the implementation details, see RisingWave's earlier code.) Theoretically, type exercise could also be used here. For example, introducing a trait to unify (A,), (A, B) and (A, B, C), or utilizing traits of Into and AsRef to unify T, Option, and Result, etc. However, you will probably encounter some type challenges posed by rustc.
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Hybrid in-memory and disk cache in Rust
it's production ready, and has already been adopted by:
* RisingWave (https://github.com/risingwavelabs/risingwave): SQL stream processing, analytics, and management.
- Show HN: RisingWave – Open-Source Real-Time Database for Stream&Batch with SQL
- RisingWave: Process, manage, and analyze event streams with Postgres-style SQL
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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
What are some alternatives?
cube.js - 📊 Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, and embedded analytics
materialize - Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.
hadoopcryptoledger - Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive
arroyo - Distributed stream processing engine in Rust
linkis - Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
ksql - The database purpose-built for stream processing applications.