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Steampipe VS mlsql

Compare Steampipe VS mlsql and see what are their differences

Steampipe

Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Alternatives Is it good?
Calcumber
Calculate in a notebook and share — from everyday math to engineering. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Steampipe seems to be a lot more popular than mlsql. While we know about 43 links to Steampipe, we've tracked only 2 mentions of mlsql.

social mentions
43 vs 2
Big Data popularity
100% vs 0%
alternatives listed
37 vs 1

Base details

Website, pricing, platforms and company facts side by side.

Steampipe
mlsql
Website steampipe.io github.com
Pricing
Open source
—
Listed in
Big Data Databases Big Data Analytics Cloud Infrastructure +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Steampipe 5 features
mlsql 0 features
  • Unified Interface
    Steampipe provides a unified SQL-based interface to query data from various cloud services and APIs, simplifying data access.
  • Open Source
    Being open source, Steampipe allows for community contributions, transparency, and flexibility in adapting the tool to specific needs.
  • Plugin Ecosystem
    Steampipe has a growing ecosystem of plugins that enable easy integration with numerous services, enhancing its versatility.
  • Real-Time Data Access
    It facilitates real-time querying of data from live APIs, which is beneficial for up-to-date insights and monitoring.
  • Cross-Platform Compatibility
    Steampipe is designed to work on multiple platforms, including Windows, MacOS, and Linux, making it accessible to a wide range of users.

Possible disadvantages

  • Complex Setup
    Initial setup and configuration can be complex, requiring a good understanding of SQL and the specific APIs being used.
  • Performance Overhead
    Query performance may be impacted due to the abstraction layer and real-time consolidation of data from multiple sources.
  • Limited Community Support
    As a relatively new tool, Steampipe may have limited community support and fewer resources compared to more established alternatives.
  • Resource Intensive
    Running multiple queries against APIs and cloud services can become resource intensive, potentially increasing costs and load on systems.
  • Learning Curve
    Users unfamiliar with SQL may face a learning curve in effectively utilizing Steampipe for querying different data sources.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Steampipe
mlsql

No analysis of Steampipe yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Videos

Walkthroughs and reviews on video.

Steampipe 3 videos + Add
mlsql 0 videos + Add

Superbooth 2023: Erica Synths - Steampipe

More videos

  • - BEST SYNTHS @ SUPERBOOTH23: PWM Mantis, UDO Super Gemini, Erica Synths STEAMPIPE… and more
  • - Erica Synths STEAMPIPE The Synth with no oscillators!

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Steampipe
mlsql
100% 100%
Big Data
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Cloud Infrastructure
0% 0%
0% 0%
Online Learning
100% 100%

User comments

Share your experience with using Steampipe and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Steampipe 43 mentions
mlsql 2 mentions
  • Executable Is a SQLite Database
    Check out https://steampipe.io/, available as sqlite/postgtesql extensions. - Source: Hacker News / 2 months ago
  • Build API integrations with SQL and YAML – no SaaS lock-in, no drag-and-drop UIs
    The request / data fetching is interesting in how "easy" it is to write. I did basic perusal of the examples, but I'd be interested to see what it looks like with rate-limited endpoints and concurrent requests. Another tangentially... - Source: Hacker News / over 1 year ago
  • Cyphernetes: A Query Language for Kubernetes
    I really really like Steampipe to do this kind of query: https://steampipe.io, which is essentially PostgreSQL (literally) to query many different kind of APIs, which means you have access to all PostgreSQL's SQL language can offer to... - Source: Hacker News / almost 2 years ago

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  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to Steampipe and mlsql

When comparing Steampipe and mlsql, you can also consider the following products.

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