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Apache Cassandra

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About Apache Cassandra

Apache Cassandra is an open-source NoSQL database software from Apache Software Foundation that manages massive amounts of data efficiently. It provides features such as quick data access, high availability, and scalability so users can handle large datasets without performance issues. Designed to handle high write and read throughput, Cassandra is well-suited for applications requiring real-time data processing. The architecture ensures no single point of failure, making it reliable for critical applications. Key capabilities: distributed data storage fault tolerance linear scalability multi-data center replication tunable consistency Best for: developers and businesses that need a reliable database solution for handling large-scale data with high availability.

Apache Cassandra Details

Vendor
Apache Software Foundation
Year Launched
2011
Location
Wilmington, DE
Deployment
cloud
Training Options
documentation
Countries Served
All Countries.
Languages
English
Users
Database Administrators, Software Developers, Data Analysts, System Architects
Industries Served
Healthcare, Education, Finance, Retail
Tags
Database Software, Apache Cassandra

Apache Cassandra's In-App Market Place

Does Apache Cassandra have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), NOK (kr), MXN (Mex$), INR (₹), RUB (₽), ZAR (R), BRL (R$).

Pros & Cons

  • 1. Cassandra's performance is notably superior to RDBMS, especially for multi-tenancy and scaling demands.
  • 2. A significant advantage of Cassandra is its architecture, which eliminates single points of failure.
  • 3. Cassandra exhibits good scalability, making it suitable for businesses experiencing rapid growth.
  • 4. Utilizing column families for cloud-based data handling, Cassandra offers fault tolerance through automatic data replication across nodes.
  • 1. Cassandra's asynchronous and background task execution can be unpredictable.
  • 2. Performing aggregations like SUM, MIN, MAX, and AVG can be very resource-intensive in Cassandra's key-value structure.
  • 3. The options for querying and retrieving data in Cassandra are perceived as limited.
  • 4. While data retrieval by column is fast, inserting, updating, or deleting records requires modifications in multiple locations, making it less ideal for OLTP systems.

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