Apache Cassandra

Website

cassandra.apache.org

Categories

#Databases #NoSQL Databases #Relational Databases #Big Data

Informix

Website

ibm.com

Categories

#Databases #Development #NoSQL Databases #Relational Databases

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.

Informix features and specs

• High Performance
  Informix is optimized for high performance, making it suitable for handling large volumes of transactions and queries quickly and efficiently.
• Embedded Database
  It can be embedded in applications, providing seamless integration that is ideal for IoT and edge computing environments.
• Scalability
  Informix can scale to accommodate growing datasets and user loads, making it flexible for businesses of different sizes.
• Hybrid Data Management
  Offers support for both SQL and NoSQL data models, allowing users to manage structured and unstructured data effectively.
• Advanced Security Features
  Provides robust security mechanisms, including encryption, authentication, and access controls, to protect sensitive data.

Possible disadvantages of Informix

• Complex Licensing
  The licensing model for Informix can be complicated, potentially leading to challenges in understanding costs and compliance.
• Limited Popularity
  While powerful, Informix is less commonly used compared to other databases like MySQL or PostgreSQL, which may lead to a smaller community and fewer available resources.
• Learning Curve
  Due to its extensive features and capabilities, new users might face a steep learning curve when getting started with Informix.
• Dependency on IBM Support
  Businesses may become heavily reliant on IBM's support for maintenance and troubleshooting, which could entail ongoing costs.

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

The Truth Mobile investigates about Informix

More videos: