Apache Avro
Apache Avro is a data serialization system. (by apache)
hudi
Upserts, Deletes And Incremental Processing on Big Data. (by apache)
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| Apache Avro | hudi | |
|---|---|---|
| 22 | 20 | |
| 2,764 | 5,053 | |
| 1.4% | 2.0% | |
| 9.7 | 9.9 | |
| about 9 hours ago | 7 days ago | |
| Java | Java | |
| 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.
Apache Avro
Posts with mentions or reviews of Apache Avro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-14.
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Open Table Formats Such as Apache Iceberg Are Inevitable for Analytical Data
Apache AVRO [1] is one but it has been largely replaced by Parquet [2] which is a hybrid row/columnar format
[1] https://avro.apache.org/
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Generating Avro Schemas from Go types
The most common format for describing schema in this scenario is Apache Avro.
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How do you update an existing avro schema using apache avro SchemaBuilder?
I am testing a new schema registry which loads and retrieves different kinds of avro schemas. In the process of testing, I need to create a bunch of different types of avro schemas. As it involves a lot of permutations, I decided to create the schema programmatically.I am using the apache avro SchemaBuilder to do so.
- The state of Apache Avro in Rust
- How people generate examples for multiple programming languages?
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gRPC on the client side
Other serialization alternatives have a schema validation option: e.g., Avro, Kryo and Protocol Buffers. Interestingly enough, gRPC uses Protobuf to offer RPC across distributed components:
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Understanding Azure Event Hubs Capture
Apache Avro is a data serialization system, for more information visit Apache Avro
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tl;dr of Data Contracts
Once things like JSON became more popular Apache Avro appeared. You can define Avro files which can then be generated into Python, Java C, Ruby, etc.. classes.
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In One Minute : Hadoop
Avro, a data serialization system based on JSON schemas.
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Events: Fat or Thin?
Supporting multiple versions of an event schema is a solved problem. Apache Avro with a published schema hash in a message header is one solution.
https://avro.apache.org/
hudi
Posts with mentions or reviews of hudi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-18.
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Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake.
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The "Big Three's" Data Storage Offerings
Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond).
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Data-eng related highlights from the latest Thoughtworks Tech Radar
Apache Hudi
- For those of you with Lakehouse Architectures, how do you handle duplicate records?
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AWS ACID data lakehouse
Try Apache Hudi, it is fully integrated with AWS and offers almost everything that you requested.
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Data n00b looking for guidance on how to setup data lake/warehouse
the corresponding kafka topics have 30d retention and I intend on having s3 sink connector for long term storage (open to other ideas here too, I noticed theres a hudi connector also)
- apache/hudi: Upserts, Deletes And Incremental Processing on Big Data.
- Big Data file formats
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How-to-Guide: Contributing to Open Source
Apache Hudi
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What do you use for Data versioning?
You could have a look at Apache Hudi - especially if you're running your Data Pipelines using Spark or Flink.
What are some alternatives?
When comparing Apache Avro and hudi you can also consider the following projects:
Protobuf - Protocol Buffers - Google's data interchange format
iceberg - Apache Iceberg
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
kudu - Mirror of Apache Kudu
Apache Thrift - Apache Thrift
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Apache Parquet - Apache Parquet
pinot - Apache Pinot - A realtime distributed OLAP datastore
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs