We performed a comparison between Teradata and Vertica based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Viewpoint, the detailed query logs and performance statistics are valuable features."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"It's very mature from a technology perspective."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"It's very, very fast"
"Allows us to take volumes and process them at a very high speed."
"Its projections and encoding are excellent tools for tuning large volumes."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Partition and join back to node are easy and simple for DBAs."
"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."
"The solution needs improvement in its stability, support and pricing."
"I would like to see more integration with many different types of data."
"Teradata's UI could be improved."
"There is a need to improve performance in high transaction processes, as well as the reporting system."
"Teradata can improve the way it handles big data and unstructured data."
"The user interface needs to be improved."
"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"I have found that coding support could be simplified."
"Limitations in group by projections is where I would like to see an improvement."
"They could improve on customer service."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"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."
"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."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"Suboptimal projection design causes queries to not scale linearly."
Teradata is ranked 3rd in Data Warehouse with 54 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. Teradata is rated 8.2, while Vertica is rated 8.4. The top reviewer of Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and IBM Db2 Database, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Oracle Exadata and BigQuery. See our Teradata vs. Vertica report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.