We performed a comparison between Cloudera Distribution for Hadoop and SingleStore based on real PeerSpot user reviews.
Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop."The file system is a valuable feature."
"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."
"It is helpful to gather and process data."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"Customer service and support were able to fix whatever the issue was."
"I don't see any performance issues."
"The most valuable feature is Impala, the querying engine, which is very fast."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The paramount advantage is the exceptional speed."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"The initial setup of Cloudera is difficult."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"The price of this solution could be lowered."
"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."
"The Cloudera training has deteriorated significantly."
"There are multiple bugs when we update."
"We don't get good discounts in Pakistan."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
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Cloudera Distribution for Hadoop is ranked 1st in Hadoop with 46 reviews while SingleStore is ranked 6th in Database as a Service with 7 reviews. Cloudera Distribution for Hadoop is rated 7.8, while SingleStore is rated 8.8. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". On the other hand, the top reviewer of SingleStore writes "A reasonably priced product that offers good speed and seamless support". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, Cassandra and SAP HANA, whereas SingleStore is most compared with SQL Server, MySQL, Oracle Database, Teradata and YugabyteDB.
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