Apache Cassandra

Website

cassandra.apache.org

Pricing URL

-

$ Details

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Categories

#Databases #NoSQL Databases #Relational Databases #Big Data

TerminusDB

Website

terminusdb.com

Pricing URL

Official TerminusDB Pricing

$ Details

Categories

#Graph Databases #Databases #Database Tools #Online Database

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.

TerminusDB features and specs

• Version Control
  TerminusDB has built-in version control for data, enabling users to manage changes over time, rollback to previous versions, and track data lineage.
• Collaboration Features
  It supports collaborative workflows with branching, merging, and diffing, making it easier for teams to work together on data projects.
• Schema Enforcement
  Provides strong schema enforcement to ensure data consistency and integrity, promoting better data management practices.
• Graph Database Foundation
  Built on a powerful graph database architecture, which offers high flexibility and efficiency for managing complex and interconnected data.
• Open Source
  TerminusDB is open source, providing transparency and the ability for users to contribute to its development or customize it for their needs.

Possible disadvantages of TerminusDB

• Learning Curve
  The tool can have a steep learning curve for those unfamiliar with versioned data systems or graph databases, requiring time to master.
• Limited Community Support
  While growing, the community around TerminusDB is not as large as more established database solutions, potentially limiting peer support and resources.
• Early-Stage Features
  Some features may still be in early development stages, which might lead to fewer functionalities compared to mature database systems.
• Performance Overheads
  Version control and schema enforcement can introduce performance overheads, particularly for large datasets or highly dynamic use cases.

Course Intro | DS101: Introduction to Apache Cassandra™

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Welcome to TerminusDB & TerminusHub

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