Google Cloud Identity & Access Management (IAM) lets administrators authorize who can take action on specific resources, giving you full control and visibility to manage cloud resources centrally.
Turn business tasks into reusable workflows with company context, AI judgement and human approvals.
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Which is more popular?
Based on our record, Google Cloud IAM
seems to be more popular. It has been mentioned
7 times
since March 2021.
social mentions
7 vs 0
Identity And Access Management popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Granular Access Control Google Cloud IAM allows for precise control over who has access to which resources, enabling administrators to assign roles at a very granular level.
Unified Management Provides a single view into managing permissions across all Google Cloud Platform resources, simplifying the management of who has access to what.
Predefined Roles Comes with predefined roles which make it easier to assign permissions without having to define custom roles, reducing the complexity for administrators.
Policy Versioning Supports IAM policy versioning, which helps in tracking changes and rollback to earlier versions, aiding in better managing access configurations over time.
Integration with GCP Services Seamlessly integrates with other Google Cloud Platform services, providing a more streamlined and coherent cloud environment.
Automated Recommendations Features intelligent access recommendations using Machine Learning to help administrators determine the most appropriate permissions for users and services.
Compliance and Security Auditing Offers extensive logging and auditing capabilities, essential for ensuring compliance and monitoring for any security breaches or unauthorized accesses.
Possible disadvantages
Complexity The granularity of permissions and the broad array of roles can lead to increased complexity, making it difficult for less experienced administrators to manage effectively.
Learning Curve Requires substantial learning and familiarity with both Google Cloud services and IAM concepts, which can be daunting for new users.
Limited Cross-Platform Support While powerful within Google Cloud, IAM’s capabilities and integrations are limited when it comes to non-GCP environments, making it less versatile for multi-cloud strategies.
Potential Over-privileging Improper configuration or misunderstanding of roles and permissions can lead to over-privileging, where users have more access than necessary, posing security risks.
Cost Managing IAM effectively often requires dedicated resources and potentially third-party tools, which can add to the overall cost of using Google Cloud Platform.
Latency in Permission Changes In some cases, there can be latency in the propagation of changes to permissions, which can delay the enforcement of new policies.
Efficient Data Curation Lightly uses active learning and self-supervised learning techniques to help teams select the most valuable and diverse subset of data for labeling, reducing the amount of data needed for training while maintaining model performance.
Reduces Labeling Costs By intelligently selecting which images or videos to label, Lightly can significantly cut down on the manual annotation costs and time required for building computer vision datasets.
Self-Supervised Learning Integration The platform leverages self-supervised learning methods to extract meaningful embeddings from unlabeled data, enabling better understanding of dataset structure and redundancy before labeling.
Scalable for Large Datasets Lightly is designed to handle large-scale image and video datasets, making it suitable for enterprises dealing with massive amounts of visual data in computer vision projects.
Integration with ML Workflows Lightly offers APIs and integrations that allow it to fit into existing machine learning pipelines, working alongside popular annotation tools and cloud storage solutions.
Possible disadvantages
Learning Curve Teams new to active learning and self-supervised learning concepts may face a learning curve in understanding how to best utilize Lightly's data curation capabilities.
Narrow Use Case Focus Lightly is primarily focused on computer vision data curation, which may limit its usefulness for teams working with other data types such as text, audio, or tabular data.
Dependency on Data Quality The effectiveness of Lightly's curation algorithms depends heavily on the quality and representativeness of the initial dataset, which can limit results if the source data is poor.
Pricing for Smaller Teams Depending on the pricing tier, smaller teams or individual developers might find the cost of enterprise-level data curation features less accessible compared to open-source alternatives.
Requires Technical Expertise Effectively leveraging Lightly's advanced features like self-supervised learning models may require a certain level of machine learning expertise, which could be a barrier for less technical teams.
Analysis
An editorial look at what each product does well and who it suits.
Google Cloud IAMLightly
Overall verdict
Google Cloud IAM is an effective and comprehensive solution for managing access and identity in cloud environments, particularly for those already using Google Cloud Platform. Its strengths lie in its ease of use, integration capabilities, and security features, making it a valuable tool for organizations seeking to manage permissions and roles efficiently.
Why this product is good
Google Cloud IAM (Identity and Access Management) is considered good due to several reasons. It offers fine-grained access control and visibility into Google Cloud resources, enabling the implementation of the principle of least privilege. It allows organizations to define who (users) has what access (roles) to which resources, thus providing robust security and controlled access. It integrates seamlessly with other Google Cloud services and supports a wide range of authentication methods, including integration with existing identity systems. Additionally, it enhances audit and compliance capabilities by keeping detailed audit logs of all access events.
Recommended for
Organizations using Google Cloud Platform and seeking to manage user access efficiently.
Teams requiring detailed access control and audit trails for compliance purposes.
Businesses that need to implement the principle of least privilege to enhance security.
Companies looking for integration capabilities with existing identity systems.
Overall verdict
Lightly is a solid, well-regarded platform for data curation and active learning in computer vision, offering strong tooling for selecting the most valuable images/frames to label, which helps teams reduce annotation costs and improve model performance efficiently.
Why this product is good
Focuses on smart data selection and curation, helping avoid wasted labeling budget on redundant data
Offers both open-source (Lightly SSL) and commercial (Lightly Worker/Platform) options for flexibility
Uses self-supervised learning techniques to find diverse, representative, or edge-case samples
Integrates with common MLOps and labeling tools, fitting into existing computer vision pipelines
Scales to large unlabeled datasets, making it useful for teams with massive raw data but limited labeling resources
Provides visualization and embedding tools to explore dataset distribution and detect biases or gaps
Recommended for
Computer vision teams looking to reduce labeling costs through smarter data selection
ML engineers building active learning pipelines
Companies with large volumes of unlabeled image or video data
Teams wanting to improve model performance by curating more diverse or representative training sets
Organizations needing to detect dataset bias, redundancy, or edge cases before annotation
This means that it is fair to pick up Google Cloud as your IAM simply based on those numbers. But what does Google Cloud IAM do differently than Azure and AWS?
Recommendations tracked on public social media and blogs since March 2021.
Google Cloud IAM7 mentionsLightly0 mentions
When Google Sneezes, the Whole World Catches a cold![The Full Story Inside.]
GCP’s Identity and Access Management (IAM) is the front door every API call must pass. When the fleet that issues and validates OAuth and service account tokens misbehaves, the blast radius reaches storage, compute, control planes...
- Source: dev.to
/
over 1 year ago
While it is commonly associated with AWS, and their AWS IAM service, IAM is not limited to their platform. All cloud providers, such as Google Cloud and Azure DevOps, offer IAM solutions that allow users to access resources and systems....
- Source: dev.to
/
over 3 years ago
Cloud Identity and Access Management: This service provides fine-grained control over who has access to what resources within an organization's Google Cloud environment. It can be used to quickly revoke access to compromised accounts or...
- Source: dev.to
/
almost 4 years ago
Amazon Cognito lets you add user sign-up, sign-in, and access control to your web and mobile apps quickly and easily. It scales to millions of users and supports sign-in with social identity providers and enterprise identity providers via SAML 2.0.
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