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Cassandra

Cassandra

Overview

What is Cassandra?

Cassandra is a no-SQL database from Apache.

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Recent Reviews

TrustRadius Insights

Apache Cassandra has gained extensive popularity and usage across various critical use cases and platform solutions in many organizations. …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 7 features
  • Availability (5)
    8.8
    88%
  • Performance (5)
    8.5
    85%
  • Security (5)
    8.0
    80%
  • Concurrency (5)
    7.6
    76%
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Pricing

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What is Cassandra?

Cassandra is a no-SQL database from Apache.

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  • No setup fee

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  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Presto and Cassandra: Doing SQL and Joins on Cassandra Tables

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CassandraDB Connector Demo | CassandraDB Integration

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Open Source BI Tools and Cassandra

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Spark and Cassandra: Doing SQL and Joins on Cassandra Tables

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Real-time IoT data analytics and visualization with Kaa, Apache Cassandra, and Apache Zeppelin

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Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

8
Avg 8.8
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Product Details

Cassandra Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Cassandra is a no-SQL database from Apache.

Reviewers rate Scalability highest, with a score of 9.5.

The most common users of Cassandra are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(96)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Apache Cassandra has gained extensive popularity and usage across various critical use cases and platform solutions in many organizations. Users have found it particularly useful in the tax domain, small businesses, profile platforms, and AB testing platforms. Algorithmic Ads, for example, relies solely on Cassandra for both real-time transactions and analytics.

In terms of implementation, a lightweight Java application serves as the primary means of accessing Cassandra, providing a RESTful web services API for seamless integration with other applications. This API is used internally as well as by customers, making it a central point for integration that includes business logic and data. The outstanding performance, linear scalability, and continuous availability of Cassandra make it a preferred choice among developers when a highly available NoSQL database is required.

Furthermore, Cassandra has proven its capabilities in multiple scenarios. It currently supports an enterprise eCommerce platform, offering excellent performance and acting as a powerful NoSQL database. Additionally, it has been employed to build a fully functional proof of concept for a shipment cloud concept at FedEx. By combining InMemory and NoSQL storage solutions, Cassandra enables unified RESTful-based service that caters to queries for the latest or historical shipment status. Moreover, users have found that Cassandra serves as a reliable backup for the IMDG component in case of a complete crash.

Cassandra's versatility extends to other domains as well. It effectively handles non-standard RDBMS data by providing fast write speeds and suitability for storing flat data. Many organizations leverage its cluster configuration to store personalization data for customers, ensuring up-to-date information with low latency. Cassandra also plays a crucial role in storing data in JSON format, allowing for efficient data storage and retrieval.

Moreover, Cassandra seamlessly integrates with various systems to provide distributed system logic. For instance, it is a core component of the HyperStore S3-compatible object storage system and collaborates with other Java servers to create scalable and fault-tolerant architectures.

Additionally, Cassandra has proven its efficiency in academic projects related to cloud computing and Salesforce, outperforming traditional RDBMS solutions. Prominent companies like Facebook and Uber rely on Cassandra for their real-time running apps due to its improved performance capabilities.

Although users have encountered challenges with the documentation, they still highly recommend using Cassandra for its scalability and faster request processing. Overall, Cassandra is a valuable asset for geographically dispersed architectures, offering availability, consistency, data distribution across multiple machines, and expandability on demand.

Greatest community and adoption: The Java-based NoSQL database has garnered a strong following with its greatest community and adoption. Many users have found it to be a highly popular choice among developers, benefiting from the extensive support and resources available.

Excellent integration with Apache Hadoop, Apache Spark, and Solr: Reviewers have consistently praised the database for its excellent integration capabilities with Apache Hadoop, Apache Spark, and Solr. This seamless integration provides a robust ecosystem of tools that enable efficient unit tests and stress testing.

Best-in-class performance across various workloads: Users have consistently highlighted the exceptional performance of this database across various read/write/mixed workloads. Its ability to provide low latency and high throughput has been widely appreciated by customers who require fast data retrieval and processing.

Missing Features: Some users have expressed that Apache Cassandra lacks certain functionalities, such as security and advanced tools like OpsCenter. They believe these features should be included in the open source version.

Challenging Data Modeling: Users with a background in relational databases may find it challenging to understand and work with NoSQL databases like Cassandra. They mention that data modeling needs to revolve around queries rather than the data structure.

Operational Challenges: Managing a large Cassandra cluster, even with the DataStax Enterprise Version, can pose challenges for maintenance teams due to frequent version upgrades and auto-repair. Users express the need for improved operational tools and continued enhancements to handle large clusters and massive amounts of data effectively.

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