Big Queue VS Apache Orc

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

Big Queue

A big, fast and persistent queue based on memory mapped file. (by bulldog2011)

Apache Orc

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads (by apache)
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Big Queue Apache Orc
0 4
545 650
- 0.6%
0.0 9.4
over 1 year ago 1 day 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.

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.

Apache Orc

Posts with mentions or reviews of Apache Orc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-01.
  • Java Serialization with Protocol Buffers
    6 projects | dev.to | 1 Nov 2022
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto.
  • Personal data of 120,000 Russian servicemen fighting in Ukraine made public
    2 projects | /r/worldnews | 1 Mar 2022
  • Apache Hudi - The Streaming Data Lake Platform
    8 projects | dev.to | 27 Jul 2021
    The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a way that unlocks incremental data processing on them.

What are some alternatives?

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

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

Persistent Collection - A Persistent Java Collections Library

Protobuf - Protocol Buffers - Google's data interchange format

Apache Thrift - Apache Thrift

Apache Parquet - Apache Parquet

Apache Avro - Apache Avro is a data serialization system.

hudi - Upserts, Deletes And Incremental Processing on Big Data.