Software Alternatives, Accelerators & Startups

Haystack Analytics VS Control-M

Compare Haystack Analytics VS Control-M 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.

Haystack Analytics logo Haystack Analytics

Software Delivery Analytics Tool for Engineering Teams. Deliver Software Faster, Better, and more Predictably.

Control-M logo Control-M

Controlโ€‘M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.
  • 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.

  • Control-M Landing page
    Landing page //
    2023-07-12

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

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.

Control-M features and specs

  • Comprehensive Job Scheduling
    Control-M provides an extensive range of job scheduling capabilities, supporting various environments and platforms, which ensures that all workflows and batch jobs can be managed consistently and efficiently.
  • Ease of Use
    The user interface is intuitive and user-friendly, making it easier for both technical and non-technical users to manage job workflows without extensive training.
  • Scalability
    Control-M scales effortlessly, accommodating the needs of small businesses to large enterprises, without compromising on performance.
  • Integrations
    It seamlessly integrates with numerous applications and technologies, including cloud services, databases, ERP systems, and more, which makes it versatile across different IT landscapes.
  • Advanced Automation Features
    Provides advanced automation capabilities such as predictive analytics, machine learning, and DR capabilities that enhance efficiency and reduce manual intervention.
  • Robust Reporting
    Offers powerful reporting tools and dashboards that provide actionable insights and visibility into job performance and system health.

Possible disadvantages of Control-M

  • Cost
    The comprehensive features and enterprise-level capabilities come at a high cost, which may be prohibitive for smaller organizations.
  • Complexity in Initial Setup
    The initial installation and configuration can be complex and require significant investment in time and resources to set up properly.
  • Learning Curve
    Despite its user-friendly interface, the depth and breadth of features can result in a steep learning curve for new users, necessitating substantial training.
  • Resource Intensive
    Control-M can be resource-intensive, requiring considerable computing resources to run efficiently, which might be a constraint for organizations with limited IT infrastructure.
  • Dependency on Vendor Support
    While support is robust, the complexity of the system can sometimes necessitate frequent interaction with vendor support, which can be time-consuming.
  • Customization Challenges
    While the tool is highly configurable, extensive customization can become complicated and may require professional services or advanced knowledge.

Haystack Analytics videos

Haystack (YC W21)

Control-M videos

Control-M Version 8 Overview

More videos:

  • Review - Control-M Self Service Overview
  • Review - Connect With Control-M: Control-M/Server 9 High Availability

Category Popularity

0-100% (relative to Haystack Analytics and Control-M)
Software Engineering
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
IT Automation
0 0%
100% 100

Questions & Answers

As answered by people managing Haystack Analytics and Control-M.

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 Haystack Analytics and Control-M. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Haystack Analytics and Control-M

Haystack Analytics Reviews

We have no reviews of Haystack Analytics yet.
Be the first one to post

Control-M Reviews

Top 10 Control-M Alternatives in โ€™23
Job scheduling: On G2, the job scheduling feature receives the highest score with 9.4. However, Control-M alternatives, ActiveBatch and Redwood obtain higher scores for each category under functionality than Control-M (See Figure 5). Integrations/APIs: A user mentioned API and integration to other applications as a weak capability of the tool (Figure 1).
9 Control-M Alternatives & Competitors In 2023
Verdict: Redwood platform offers better performance and visibility than the Control-M. This tool supports over 25 scripting languages and interfaces such as Python, R, and PowerShell with built-in syntax highlighting and parameter replacement. It also features advanced architecture and provides safe passage to businesses looking for Control-M alternatives through its...
The Top 5 BMC Control-M API Alternatives
Control-M Reports provide insights into job execution and performance. While the BMC Control-M interface provides robust reporting capabilities, there are also alternatives to generate reports using tools such as SQL and Hadoop. These tools can extract data from Control-M job logs and generate custom reports based on specific business requirements.
Source: www.redwood.com

Social recommendations and mentions

Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 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.

Haystack Analytics mentions (2)

Control-M mentions (0)

We have not tracked any mentions of Control-M yet. Tracking of Control-M recommendations started around Mar 2021.

What are some alternatives?

When comparing Haystack Analytics and Control-M, you can also consider the following products

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.

ManageEngine RecoveryManager Plus - RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.

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.

Heroku Enterprise - Heroku Enterprise is a flexible IT management for developers that lets them build apps using their preferred languages and tools like Ruby, Java, Python and Node.

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

Lastpass - LastPass is an online password manager and form filler that makes web browsing easier and more secure.