Wasabi Cloud Object Storage

Website

wasabi.com

Pricing URL

Official Wasabi Cloud Object Storage Pricing

$ Details

-

Release Date

2015 January

Categories

#Cloud Storage #Object Storage #Storage #Cloud Computing

Startup details

Country

United States

State

Massachusetts

City

Boston

Founder(s)

David Friend

Employees

100 - 249

Apache Flink

Website

flink.apache.org

Pricing URL

-

$ Details

Release Date

-

Categories

#Stream Processing #Developer Tools #Big Data #Web Frameworks

Wasabi Cloud Object Storage features and specs

• Cost-Effective
  Wasabi offers competitive pricing for cloud storage without any hidden fees, making it a cost-effective option for businesses of all sizes.
• High Performance
  Wasabi provides high-speed data retrieval and upload, which is ideal for applications requiring fast access to stored data.
• Simple Pricing Model
  There are no fees for egress or API requests, which simplifies budgeting and cost management.
• Scalability
  Wasabi's storage solutions can scale to meet the needs of growing businesses, providing flexibility as data storage requirements increase.
• Security
  Wasabi offers strong security features, including data encryption both in transit and at rest, ensuring the safety of stored data.
• S3 Compatibility
  Wasabi's storage service is compatible with the Amazon S3 API, making it easier for users to integrate with existing tools and workflows.

Possible disadvantages of Wasabi Cloud Object Storage

• Limited Services
  Compared to larger cloud providers like AWS or Google Cloud, Wasabi focuses primarily on storage and offers fewer ancillary services and features.
• Geographical Availability
  Wasabi has fewer data center locations worldwide compared to major competitors, which might impact performance for users in certain regions.
• Customer Support
  While Wasabi offers customer support, it may not be as comprehensive or as responsive as the support provided by larger cloud service providers.
• Ecosystem Integration
  Although it supports S3 compatibility, Wasabi might not integrate as seamlessly with other cloud ecosystem services beyond storage.
• No Free Tier
  Unlike some competitors, Wasabi does not offer a free tier for basic storage needs, which could be a drawback for small businesses or startups.

Apache Flink features and specs

• Real-time Stream Processing
  Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
• Event Time Processing
  Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
• State Management
  Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
• Fault Tolerance
  The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
• Scalability
  Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
• Rich Ecosystem
  Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

• Complexity
  Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
• Resource Intensive
  The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
• Community Support
  While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
• Ecosystem Maturity
  Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
• Operational Overhead
  Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

Introduction to Wasabi Hot Cloud Storage

More videos:

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

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