We performed a comparison between ScyllaDB and Vertica 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."It is lightweight, and it requires less infrastructure."
"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Eighty percent of the ETL operations have improved since implementing this solution."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The solution is quick, has good compression data, and is not expensive."
"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."
"The documentation of Scylla is an area with shortcomings and needs to be improved."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"I have found that coding support could be simplified."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"Support is an area where it could get better."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
ScyllaDB is ranked 6th in NoSQL Databases with 2 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. ScyllaDB is rated 7.6, while Vertica is rated 8.2. The top reviewer of ScyllaDB writes "A solution that offers good performance and flexibility to its users". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". ScyllaDB is most compared with MongoDB, Cassandra, Couchbase, Apache HBase and Aerospike Database 7, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our ScyllaDB vs. Vertica report.
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