Software Alternatives, Accelerators & Startups

Azure Stream Analytics VS OctoSQL

Compare Azure Stream Analytics VS OctoSQL and see what are their differences

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.

OctoSQL logo OctoSQL

OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • OctoSQL Landing page
    Landing page //
    2023-08-26

Azure Stream Analytics videos

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

OctoSQL videos

No OctoSQL videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Azure Stream Analytics and OctoSQL)
Stream Processing
100 100%
0% 0
Databases
0 0%
100% 100
Data Management
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Azure Stream Analytics and OctoSQL. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, OctoSQL seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Stream Analytics mentions (0)

We have not tracked any mentions of Azure Stream Analytics yet. Tracking of Azure Stream Analytics recommendations started around Mar 2021.

OctoSQL mentions (22)

  • Analyzing multi-gigabyte JSON files locally
    OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / about 1 year ago
  • DuckDB: Querying JSON files as if they were tables
    This is really cool! With their Postgres scanner[0] you can now easily query multiple datasources using SQL and join between them (i.e. Postgres table with JSON file). Something I strived to build with OctoSQL[1] before. It's amazing to see how quickly DuckDB is adding new features. Not a huge fan of C++, which is right now used for authoring extensions, it'd be really cool if somebody implemented a Rust extension... - Source: Hacker News / over 1 year ago
  • Show HN: ClickHouse-local – a small tool for serverless data analytics
    Congrats on the Show HN! It's great to see more tools in this area (querying data from various sources in-place) and the Lambda use case is a really cool idea! I've recently done a bunch of benchmarking, including ClickHouse Local and the usage was straightforward, with everything working as it's supposed to. Just to comment on the performance area though, one area I think ClickHouse could still possibly improve... - Source: Hacker News / over 1 year ago
  • Command-line data analytics made easy
    SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / over 1 year ago
  • Steampipe – Select * from Cloud;
    To add somewhat of a counterpoint to the other response, I've tried the Steampipe CSV plugin and got 50x slower performance vs OctoSQL[0], which is itself 5x slower than something like DataFusion[1]. The CSV plugin doesn't contact any external API's so it should be a good benchmark of the plugin architecture, though it might just not be optimized yet. That said, I don't imagine this ever being a bottleneck for the... - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing Azure Stream Analytics and OctoSQL, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

LNAV - The Log File Navigator (lnav) is an advanced log file viewer for the console.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Materialize - A Streaming Database for Real-Time Applications

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

DuckDB - DuckDB is an in-process SQL OLAP database management system