Skip to main content
TrustRadius
Cassandra

Cassandra

Overview

What is Cassandra?

Cassandra is a no-SQL database from Apache.

Read more
Recent Reviews

TrustRadius Insights

Apache Cassandra has gained extensive popularity and usage across various critical use cases and platform solutions in many organizations. …
Continue reading
Read all reviews

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%
Return to navigation

Pricing

View all pricing
N/A
Unavailable

What is Cassandra?

Cassandra is a no-SQL database from Apache.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

71 people also want pricing

Alternatives Pricing

What is MongoDB?

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format…

What is HCL Zen Edge Data Management?

HCL Zen Edge Data Management (formerly Actian Zen) is a NoSQL and SQL (fully ANSI compliant) embedded database that runs on Windows, Linux, Android, iOS, macOS, in VMs and Containers with AES 256-bit encryption. Version footprints range from 5MB (client only) to 50 MB (embedded client-server) to…

Return to navigation

Product Demos

Presto and Cassandra: Doing SQL and Joins on Cassandra Tables

YouTube

CassandraDB Connector Demo | CassandraDB Integration

YouTube

Open Source BI Tools and Cassandra

YouTube

Spark and Cassandra: Doing SQL and Joins on Cassandra Tables

YouTube

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

YouTube
Return to navigation

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
Return to navigation

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(94)

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.

Attribute Ratings

Reviews

(1-16 of 16)
Companies can't remove reviews or game the system. Here's why
Priti Asai / Thakkar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It's perfect for big data or high volume data to load log files, event files, and streaming or video/image data. It gives really high performance dealing with big data fetches. But when you need to make table joins or you need more of a relational data structure, I do not think Cassandra will fit for that.
March 16, 2019

Cassandra at scale

Glen Kim | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use it for collecting user preferences on our website which can be quickly reused. It's also well suited for document ID lookup systems. It’s not good for high consistency level of information like account balance in your banking system.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
You should be very clear where you want to use Cassandra because there is no referential integrity (JOIN) in Cassandra. You have to model data based on how you want to query it, hence what use cases it can be used for should be considered carefully.

You can use it where you want to store log or user-behavior types of data. You can use it in heavy-write or time-series data storage. It is good in retail applications for fast product catalog inputs and lookups
Dhruba Jyoti Nag | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Cassandra is well suited to storing a large volume of data within a very small period of time. It is relatively fast and the data consistency can be tuned for datasets for custom availability during an outage. It can be interacted with using CQL-- Cassandra query language-- which is similar to SQL, and thus transition is easier. It however performs less during aggregation and querying.
yixiang Shan | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
For the scenarios which need ACID support, maybe Cassandra is not the best, but for an insert only (time series based) transaction case and requirements to cope with the unpredictable data model/structure changes of the future, then Cassandra is one of the best options. If you only use the open source version of Cassandra, then without Solr integrated, you need to know your search query before you create the table, if that's not possible then Cassandra or other NoSQL DB might not your right choice.
September 27, 2017

Cassandra Usage and Needs

Ravi Reddy | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Cassandra data storage layer is basically a key-value storage system. This means that you must model your data around the queries you want to surface, rather than around the structure of the data itself. This can lead to storing the data multiple times in different ways to be able to satisfy the requirements of your application.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Cassandra is suited for applications that need quick read and write abilities. The key to column family relationship allows for super quick lookup and inserts. The nature of the ring cluster allows for fault tolerance, as well as geo-redundant storage. Cassandra is not well suited when needing to use the data to make relational inferences.

Abdel Kamel | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Cassandra performed very well when we were writing a ~300 GB of data per day on a 3 node cluster. If we had decided to read instead we found minor performance issues. When reading the data we expected as much. But for applications that are very read heavy we would chose a different product such as Couchbase.
Rekha Joshi | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized

Apache Cassandra is a NoSQL database and well suited where you need highly available, linearly scalable, tunable consistency and high performance across varying workloads. It has worked well for our use cases, and I shared my experiences to use it effectively at the last Cassandra summit! http://bit.ly/1Ok56TK

It is a NoSQL database, finally you can tune it to be strongly consistent and successfully use it as such. However those are not usual patterns, as you negotiate on latency. It works well if you require that. If your use case needs strongly consistent environments with semantics of a relational database or if the use case needs a data warehouse, or if you need NoSQL with ACID transactions, Apache Cassandra may not be the optimum choice.

David Prinzing | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Cassandra excels in a broad range of applications -- especially if you understand its data model and write your applications accordingly. It's an excellent choice for time-series data, and a poor choice for application queues. It performs the best if you can simply record history and compute from it, rather than going back and editing or deleting things a lot.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Cassandra has excellent high availability and partition tolerance and has a robust architecture.
It is well suited for storing immutable data as deletes are extremely inefficient. As such, it is well suited for data archive and deep storage.
It is less appropriate for OLAP as has limited aggregation and filtering abilities, and no grouping whatsoever.
Return to navigation