Apache Cassandra

Website

cassandra.apache.org

Categories

#Databases #NoSQL Databases #Relational Databases #Big Data

SimpleDB

Website

aws.amazon.com

Categories

#Databases #Project Management #No Code #Workflow Management

Apache Cassandra features and specs

• Scalability
  Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
• High Availability
  Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
• Performance
  It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
• Flexible Data Model
  Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
• Geographical Distribution
  Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
• No Single Point of Failure
  Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

• Complexity
  Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
• Eventual Consistency
  Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
• Write-heavy Operations
  Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
• Limited Query Capabilities
  Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
• Maintenance Overhead
  Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
• Tooling and Ecosystem
  While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

SimpleDB features and specs

• Scalability
  SimpleDB automatically manages server infrastructure on behalf of users, allowing it to scale in response to application demand without manual intervention.
• Ease of Use
  It is designed to be simple, with a straightforward API that makes it easy to get started without needing to manage the complexities of traditional database systems.
• Flexible Data Model
  The schema-less nature of SimpleDB allows users to store structured data without predefining the data types, making it adaptable to changes in data format or structure.
• Indexing and Querying
  SimpleDB provides automatic indexing of all attributes, which facilitates quick querying and retrieval of data without requiring users to manage indices.
• Integration with AWS Services
  Seamless integration with other AWS services like S3 and EC2, allowing users to build comprehensive cloud solutions.

Possible disadvantages of SimpleDB

• Limited Query Functionality
  SimpleDB's querying capabilities are more limited compared to relational databases; it does not support complex queries or joins.
• Storage and Throughput Limitations
  There are limitations on storage size per domain and concurrent read/write throughput, which could be restrictive for large-scale applications.
• Consistency Model
  SimpleDB trades off strong consistency for high availability, which means applications must be designed to handle eventual consistency.
• Cost
  While SimpleDB can be cost-effective for small applications, costs can accumulate quickly with large-scale data operations due to its pricing model based on data usage.
• Obsolescence
  With the advancement and growing use of more robust AWS databases like DynamoDB, SimpleDB has become less appealing and might not receive the same level of support or updates.

Analysis of Apache Cassandra

Course Intro | DS101: Introduction to Apache Cassandra™

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