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Atlassian Crowd VS mlsql

Compare Atlassian Crowd VS mlsql and see what are their differences

Atlassian Crowd

Crowd is a single sign-on and user identity solution.

Rating
0 reviews
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
warmup.rocks
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. 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, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Identity And Access Management popularity
100% vs 0%
alternatives listed
107 vs 1

Base details

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

Atlassian Crowd
mlsql
Website atlassian.com github.com
Listed in
Identity And Access Management SSO Single Sign-On Identity Provider Password Management +2
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Atlassian Crowd 7 features
mlsql 0 features
  • Centralized User Management
    Crowd allows you to consolidate user directories and manage users from a single location, simplifying administration.
  • Single Sign-On (SSO)
    Crowd provides SSO capabilities, allowing users to log in once and gain access to multiple Atlassian and other connected applications.
  • Integration
    Crowd integrates seamlessly with other Atlassian products like Jira, Confluence, and Bitbucket, as well as other third-party applications.
  • Scalability
    Designed to handle thousands of users and concurrent sessions, Crowd can grow with your organization's needs.
  • Customizability
    Offers various options for customization and supports different authentication methods, including LDAP, Active Directory, and OAuth.
  • Security
    Provides robust security features, including user session management, password policies, and IP-based restrictions.
  • Audit Logs
    Maintains detailed audit logs for better tracking and compliance management.

Possible disadvantages

  • Complex Setup
    The initial setup can be complex and may require specialized knowledge, particularly when integrating with multiple directories and applications.
  • Cost
    License costs can be high, especially for large organizations, impacting the overall budget.
  • Performance Issues
    May experience performance issues with large user bases or complex directory integrations.
  • Learning Curve
    Administrators and users may face a steep learning curve, requiring time and training to become proficient.
  • Limited Non-Atlassian Integration
    While it integrates well with Atlassian products, integration with non-Atlassian applications may require additional configuration and support.
  • Support
    Some users report that support is not always responsive or helpful, which can delay resolution of issues.
  • Dependency
    Creates a single point of failure; if Crowd goes down, all connected applications can be affected.

No features have been listed yet.

Analysis

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

Atlassian Crowd
mlsql

Overall verdict

  • Atlassian Crowd is generally considered a good choice for organizations already using other Atlassian products due to its seamless integration and robust feature set. However, it may not be the optimal solution for those seeking a more standalone identity management system or for those who do not heavily rely on Atlassian tools.

Why this product is good

  • Atlassian Crowd is a popular identity management tool known for its ability to centralize identity management across multiple Atlassian applications, which simplifies user management and access control. It is particularly praised for its integration capabilities with other Atlassian products like Jira, Confluence, and Bitbucket, making it a convenient choice for organizations that rely heavily on Atlassian's suite of tools. Additionally, it supports single sign-on (SSO) which enhances security and user convenience.

Recommended for

  • Organizations using multiple Atlassian products
  • Teams requiring central user management and SSO capabilities
  • Environments where ease of integration with Jira, Confluence, or Bitbucket is a priority
  • Businesses looking to streamline access control and improve security with existing Atlassian investment

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.

Atlassian Crowd 1 video + Add
mlsql 0 videos + Add

Atlassian Crowd Login Two-Factor Authentication with SecSign ID

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
Atlassian Crowd
mlsql
100% 100%
Identity And Access Management
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Identity Provider
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using Atlassian Crowd 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.

Atlassian Crowd 0 mentions
mlsql 2 mentions

Tracking Atlassian Crowd since Mar 2021.

  • 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 Atlassian Crowd and mlsql

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

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