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."Our primary use case for the solution is testing."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"I am satisfied with the performance."
"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"We can add almost one million columns to the solution."
"Some of the valued features of this solution are it has good performance and failover."
"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."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"The main advantage is the storage is less expensive."
"The solution's most valuable feature is the enterprise data platform."
"Cloudera is a very manageable solution with good support."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"The solution is stable."
"The solution is limited to a linear performance."
"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."
"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."
"There could be more integration, and it could be more user-friendly."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"Doesn't support a solution that can give aggregation."
"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."
"The solution doesn't have joins between tables so you need other tools for that."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"Cloudera's support is extremely bad and cannot be relied on."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"There are multiple bugs when we update."
"The competitors provide better functionalities."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
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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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