Apache Cassandra

Website

cassandra.apache.org

Pricing URL

-

Release Date

-

Categories

#Databases #NoSQL Databases #Relational Databases #Big Data

SingleStore

Website

singlestore.com

Pricing URL

Official SingleStore Pricing

Release Date

2011 January

Categories

#Development #File Management #Data Dashboard #Big Data #Database Tools

Startup details

Country

United States

State

California

City

San Francisco

Founder(s)

Adam Prout

Employees

250 - 499

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.

SingleStore features and specs

• High Performance
  SingleStore is designed to provide high-speed data processing capabilities, making it suitable for real-time analytics and applications that require fast data retrieval and processing.
• Scalability
  The platform offers a distributed architecture that allows for horizontal scaling, enabling users to easily add more nodes to handle increased workloads and data volumes.
• Unified Database
  SingleStore combines transactional and analytical workloads within a single database engine, reducing the need for separate systems and simplifying architecture.
• Cloud-Native
  SingleStore offers cloud-native features, including seamless integration with public clouds, making it easier for businesses to deploy and manage their databases in cloud environments.
• Compatibility with SQL
  SingleStore supports standard SQL queries, making it accessible for developers and analysts familiar with SQL, and facilitating integration with existing tools and workflows.

Possible disadvantages of SingleStore

• Cost
  Licensing and operational costs for SingleStore can be high, especially for smaller organizations or projects with limited budgets.
• Complexity
  Despite its powerful features, SingleStore's architecture and setup can be complex, potentially requiring specialized knowledge and expertise to optimize and maintain.
• Limited Use Cases
  While SingleStore performs well for specific workloads like real-time analytics, it may not be the best choice for all use cases, such as those requiring specialized database solutions.
• Vendor Lock-In
  Relying on SingleStore's proprietary technology could lead to vendor lock-in, making it challenging to migrate to other platforms without significant effort and cost.
• Evolving Ecosystem
  As SingleStore continues to evolve, users may encounter challenges with backward compatibility or need to adapt to changes in features and functionality.

Course Intro | DS101: Introduction to Apache Cassandra™

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