Software Alternatives, Accelerators & Startups

Steampipe VS Haystack Analytics

Compare Steampipe VS Haystack Analytics and see what are their differences

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.

Steampipe logo Steampipe

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

Haystack Analytics logo Haystack Analytics

Software Delivery Analytics Tool for Engineering Teams. Deliver Software Faster, Better, and more Predictably.
  • Steampipe Landing page
    Landing page //
    2023-09-30
  • Haystack Analytics Haystack -software engineering intelligence
    Haystack -software engineering intelligence //
    2025-02-04
  • Haystack Analytics Software delivery optimization
    Software delivery optimization //
    2025-02-04
  • Haystack Analytics Developer Productivity Tool
    Developer Productivity Tool //
    2025-02-04
  • Haystack Analytics Deliver Software Faster, Better, and more Predictably.
    Deliver Software Faster, Better, and more Predictably. //
    2025-02-04

Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.

Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.

Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.

Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.

Steampipe

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Haystack Analytics

$ Details
paid Free Trial $20 / Monthly (Per Dev)
Platforms
Browser
Release Date
2019 May
Startup details
Country
United States
State
California
Founder(s)
Julian Colina, Kan Yilmaz
Employees
1 - 9

Steampipe features and specs

  • 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 of Steampipe

  • 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.

Haystack Analytics features and specs

  • Improved Visibility
    Haystack Analytics provides detailed insights into team performance and project progress, enabling better visibility across development cycles.
  • Data-Driven Decisions
    With its comprehensive analytics, teams can use data to make informed decisions, helping to optimize the development process and resource allocation.
  • Integration Capabilities
    Haystack integrates with popular tools and platforms such as GitHub, making it easier to onboard and utilize within existing workflows.
  • Real-Time Monitoring
    The platform offers real-time monitoring of development metrics, which helps in identifying bottlenecks and addressing issues swiftly.
  • Improved Collaboration
    Enhanced visibility and data sharing can improve collaboration among team members and across different departments.

Possible disadvantages of Haystack Analytics

  • Cost Considerations
    Haystack Analytics might pose significant costs, especially for smaller teams or startups with limited budgets.
  • Learning Curve
    Team members may require time to familiarize themselves with the tool, which could lead to an initial dip in productivity.
  • Data Privacy Concerns
    Integrating with external platforms and tools may raise concerns about data privacy and security for some organizations.
  • Over-Reliance on Metrics
    Focusing too much on quantitative metrics might overshadow qualitative insights and lead to a narrow view of team performance.
  • Potential for Misinterpretation
    Without proper context, the analytics and data provided could be misinterpreted, leading to incorrect decisions.

Steampipe videos

Superbooth 2023: Erica Synths - Steampipe

More videos:

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

Haystack Analytics videos

Haystack (YC W21)

Category Popularity

0-100% (relative to Steampipe and Haystack Analytics)
Big Data
100 100%
0% 0
Software Engineering
0 0%
100% 100
Cloud Infrastructure
100 100%
0% 0
Data Dashboard
0 0%
100% 100

Questions & Answers

As answered by people managing Steampipe and Haystack Analytics.

How would you describe the primary audience of your product?

Haystack Analytics's answer:

Engineering Leaders and Managers

User comments

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

Based on our record, Steampipe seems to be a lot more popular than Haystack Analytics. While we know about 42 links to Steampipe, we've tracked only 2 mentions of Haystack Analytics. 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.

Steampipe mentions (42)

  • Build API integrations with SQL and YAML โ€“ 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 related project is https://steampipe.io/ though it is for exposing APIs via Postgres tables and the clients are written using Go code and shared through a marketplace. - Source: Hacker News / about 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 request data. They have a Kubernetes plugin at https://hub.steampipe.io/plugins/turbot/kubernetes and there are a couple of things I really like: * it's super easy to request... - Source: Hacker News / over 1 year ago
  • DuckDB Doesn't Need Data to Be a Database
    Https://steampipe.io/ showcases some really interesting scenarios for using FDWs in place of regular ETL and API integrations. - Source: Hacker News / about 2 years ago
  • Cloud Tools You Probably Haven't Heard Of
    Steampipe is a tool for querying cloud APIs and other data sources using SQL in a zero-ETL manner. - Source: dev.to / over 2 years ago
  • Osquery: An sqlite3 virtual table exposing operating system data to SQL
    Few projects in the same realm that you should also checkout - [1] Steampipe (https://steampipe.io/) [2] InfraSQL (https://iasql.com/). - Source: Hacker News / over 2 years ago
View more

Haystack Analytics mentions (2)

What are some alternatives?

When comparing Steampipe and Haystack Analytics, you can also consider the following products

CloudQuery - CloudQuery enables you to assess, audit, and evaluate the configurations of your cloud assets.

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

StackQL.io - Query, provision, secure & operate cloud resources using SQL

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Turbot - Turbot's guardrails deliver automated operational, cloud security and cloud compliance controls of AWS deployments and other cloud enterprise infrastructure. Learn more.

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.