nessie
Nessie: Transactional Catalog for Data Lakes with Git-like semantics (by projectnessie)
kafka-delta-ingest
A highly efficient daemon for streaming data from Kafka into Delta Lake (by delta-io)
| nessie | kafka-delta-ingest | |
|---|---|---|
| 13 | 6 | |
| 834 | 323 | |
| 3.6% | 3.4% | |
| 9.9 | 7.4 | |
| 4 days ago | 17 days ago | |
| Java | Rust | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
nessie
Posts with mentions or reviews of nessie.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-22.
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A deep dive into the concept and world of Apache Iceberg Catalogs
Nessie is an innovative open-source catalog that extends beyond the traditional catalog capabilities in the Apache Iceberg ecosystem, introducing git-like features to data management. This catalog not only tracks table metadata but also allows users to capture commits at a holistic level, enabling advanced operations such as multi-table transactions, rollbacks, branching, and tagging. These features provide a new layer of flexibility and control over data changes, resembling version control systems in software development.
- FLaNK Stack Weekly 22 January 2024
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Why is Hive Metastore everywhere? (Especially Iceberg)
Try Nessie https://github.com/projectnessie/nessie - it recently got trino support as well ..
- What are the main things I need to know to be hired as a Java developer?
- Is learning and mastering Spring & Spring boot worth it in 2023 ?
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Which lakehouse table format do you expect your organization will be using by the end of 2023?
Project Nessie (https://projectnessie.org/) will be the catalog that eventually decouples Iceberg from Hive. At that point, I think it will be a no brainer to go Iceberg over Delta.
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5 Reasons Your Data Lakehouse should Embrace Dremio Cloud
The Dremio Sonar query engine can query your data where it exists whether it's AWS Glue, S3, Nessie Catalogs, MySQL, Postgres, RedShift and an ever growing list of sources.
- Project Nessie: Transactional Catalog for Data Lakes with Git-Like Semantics
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Introduction to The World of Data - (OLTP, OLAP, Data Warehouses, Data Lakes and more)
We will also need a catalog to track all of these tables, with the open source Project Nessie we can do just that, and also get great versioning features similar to using Git when developing applications allowing data engineers to practice "data as code" and "write-audit-publish" patterns on their data.
- DoltLab v0.2.0
kafka-delta-ingest
Posts with mentions or reviews of kafka-delta-ingest.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
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Using rust for DE activities?
Rust can offer incredible cost savings when you can use it in place of spark to interact with your delta lake. One such project was kafka-delta-ingest. The developers were able to reduce the cost of running the pipeline by over 90%. However, most of this stuff is still very experimental and not ready for production but you will definitely be seeing more projects like this just based on how much money can be saved.
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Which lakehouse table format do you expect your organization will be using by the end of 2023?
This independence from a catalog allows for path based reads and writes. This is handy when writing from Kafka directly to Delta Lake for the first layer of ingestion. You don’t need a catalog (or even Spark). https://github.com/delta-io/kafka-delta-ingest/tree/main/src
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Streaming Data and Postgres
As far as I know no. You certainly could use events on a streaming ledger like Kafka or Redpanda and then store to delta with https://github.com/delta-io/kafka-delta-ingest and process them with all the gis goodness of spark. However, this is fairly complicated and much different from a simple postgis drop in replacement. There are specialized meaning faster and more efficient systems out there for specialized tasks such as geo fencing in real-time
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Rust is showing a lot of promise in the DataFrame / tabular data space
kafka-delta-ingest is a good project to get streaming data into a Delta Lake. Here's a great talk on the topic.
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process millions of events per sec
What about https://github.com/delta-io/kafka-delta-ingest?
- Exactly once delivery from Kafka to Delta Lake with Rust
What are some alternatives?
When comparing nessie and kafka-delta-ingest you can also consider the following projects:
git-bug - Distributed, offline-first bug tracker embedded in git, with bridges
delta-rs - A native Rust library for Delta Lake, with bindings into Python
dvc - 🦉 ML Experiments and Data Management with Git
dipa - dipa makes it easy to efficiently delta encode large Rust data structures.
hiveberg - Demonstration of a Hive Input Format for Iceberg
kafka-rust - Rust client for Apache Kafka
dremio-oss - Dremio - the missing link in modern data
rust-rdkafka - A fully asynchronous, futures-based Kafka client library for Rust based on librdkafka
noms - The versioned, forkable, syncable database
flowgger - A fast data collector in Rust
dolt - Dolt – Git for Data
arrow2 - Transmute-free Rust library to work with the Arrow format