Apache Avro VS Big Queue

Compare Apache Avro vs Big Queue and see what are their differences.

Big Queue

A big, fast and persistent queue based on memory mapped file. (by bulldog2011)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Apache Avro Big Queue
22 -
2,764 548
1.7% -
9.7 0.0
about 17 hours ago almost 2 years 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.

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.

Big Queue

Posts with mentions or reviews of Big Queue. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Big Queue yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Apache Avro and Big Queue you can also consider the following projects:

Protobuf - Protocol Buffers - Google's data interchange format

tape - A lightning fast, transactional, file-based FIFO for Android and Java.

SBE - Simple Binary Encoding (SBE) - High Performance Message Codec

Persistent Collection - A Persistent Java Collections Library

Apache Thrift - Apache Thrift

iceberg - Apache Iceberg

Apache Parquet - Apache Parquet

gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

Apache Orc - Apache ORC - the smallest, fastest columnar storage for Hadoop workloads