We performed a comparison between Cassandra and Cloudera Distribution for Hadoop based on real PeerSpot user reviews.
Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"The most valuable features of this solution are its speed and distributed nature."
"We can add almost one million columns to the solution."
"The solution's database capabilities are very good."
"The technical evaluation is very good."
"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."
"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."
"I don't see any performance issues."
"The tool can be deployed using different container technologies, which makes it very scalable."
"The solution is stable."
"We had a data warehouse before all the data. We can process a lot more data structures."
"The file system is a valuable feature."
"The product is completely secure."
"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"Customer service and support were able to fix whatever the issue was."
"The solution doesn't have joins between tables so you need other tools for that."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"Interface is not user friendly."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"The secondary index in Cassandra was a bit problematic and could be improved."
"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."
"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"The solution is limited to a linear performance."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The solution is not fit for on-premise distributions."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"It could be faster and more user-friendly."
"The governance aspect of the solution should be improved."
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Cassandra is ranked 4th in NoSQL Databases with 19 reviews while Cloudera Distribution for Hadoop is ranked 5th in NoSQL Databases with 47 reviews. Cassandra is rated 8.0, while Cloudera Distribution for Hadoop is rated 8.0. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". Cassandra is most compared with Couchbase, MongoDB, ScyllaDB, InfluxDB and Vertica, whereas Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, ScyllaDB and MongoDB. See our Cassandra vs. Cloudera Distribution for Hadoop report.
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