Keeper

Website

keepersecurity.com

Pricing URL

Official Keeper Pricing

Release Date

2011 January

Categories

#Security & Privacy #Password Management #Password Managers #Security

Startup details

Country

United States

State

Illinois

City

Chicago

Founder(s)

Craig Lurey

Employees

100 - 249

@imqueue

Website

imqueue.org

Pricing URL

-

Release Date

-

Categories

#Developer Tools #Realtime Backend / API #Tech #App Development #Data Integration #Web Service Automation

Keeper features and specs

• Strong Security
  Keeper utilizes advanced encryption techniques, including AES-256 and PBKDF2, ensuring data is highly secure.
• User-Friendly Interface
  The platform features a clean and intuitive design, making it easy for users to manage passwords and other sensitive data.
• Cross-Platform Compatibility
  Keeper supports multiple operating systems including Windows, macOS, iOS, and Android, providing a seamless experience across devices.
• Comprehensive Features
  The service includes a wide array of features such as secure password sharing, dark web monitoring, and biometric login options.
• Zero-Knowledge Architecture
  Keeper operates under a zero-knowledge security model, meaning they do not have access to users' master passwords or stored data.
• Customer Support
  24/7 customer support is available, offering assistance through multiple channels including live chat, email, and phone.

Possible disadvantages of Keeper

• Cost
  While Keeper offers a free version, the premium plans can be relatively expensive compared to other password managers.
• Limited Free Version
  The free version comes with significant limitations, prompting users to upgrade to access more advanced features.
• Complexity for Novices
  Although the interface is user-friendly, the broad range of features and settings may be overwhelming for non-technical users.
• Sync Issues
  Some users have reported occasional issues with syncing data across multiple devices.
• No Offline Access
  Keeper requires an active internet connection to access stored data, which can be a limitation for users needing offline access.

@imqueue features and specs

• TypeScript-first design
  imqueue is built with TypeScript at its core, providing strong typing, better IDE support, and compile-time error checking, which helps catch bugs early and improves the developer experience when building microservices.
• RPC-style messaging abstraction
  It simplifies inter-service communication by abstracting away the complexities of message queue protocols, allowing developers to make calls that feel like local function calls while the underlying complexity of message passing is handled by the framework.
• Built on RabbitMQ
  By leveraging RabbitMQ as its message broker, imqueue benefits from a mature, battle-tested messaging system with reliable delivery guarantees, clustering support, and a large ecosystem of tools and documentation.
• Code generation and tooling
  imqueue provides CLI tools and code generation capabilities that can automatically create service clients and boilerplate code, reducing repetitive work and helping maintain consistency across microservices.
• Microservices-focused architecture
  The framework is specifically designed for building distributed microservices systems, offering features like service discovery and structured communication patterns that address common challenges in distributed system design.

Possible disadvantages of @imqueue

• Smaller community and ecosystem
  Compared to more mainstream microservices frameworks, imqueue has a relatively small user base and community, which can mean fewer third-party resources, tutorials, Stack Overflow answers, and community-contributed plugins or extensions.
• Limited documentation depth
  While basic documentation exists, some users report that advanced use cases, edge cases, and troubleshooting guides are not as thoroughly documented as more established frameworks, requiring more trial-and-error or direct code inspection.
• RabbitMQ dependency lock-in
  Being tightly coupled to RabbitMQ means teams must adopt and manage this specific message broker, which could be a limitation for organizations that prefer or already use alternative messaging systems like Kafka, NATS, or AWS SQS.
• Learning curve for framework-specific patterns
  Developers need to learn imqueue's specific conventions, decorators, and architectural patterns, which adds an additional learning curve on top of understanding TypeScript and general microservices concepts.
• Potential scalability concerns for very large systems
  As with many queue-based RPC frameworks, extremely high-throughput or very large-scale distributed systems may encounter performance bottlenecks or require significant additional configuration and tuning of the underlying RabbitMQ infrastructure.

Analysis of Keeper