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."The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."
"It is lightweight, and it requires less infrastructure."
"The performance is very good and the aggregate records are fast."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"Its projections and encoding are excellent tools for tuning large volumes."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"The documentation of Scylla is an area with shortcomings and needs to be improved."
"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."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"The biggest problem is the cost of cloud deployment."
"It needs integration with multiple clouds."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"I believe the installation process could be streamlined."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"We faced some challenges when trying to use the temporary tables feature."
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 InfluxDB, 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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