We performed a comparison between SingleStore and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon, Microsoft, MongoDB and others in Database as a Service."The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The paramount advantage is the exceptional speed."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"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."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"The performance is very good and the aggregate records are fast."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"Allows us to take volumes and process them at a very high speed."
"I have found the solution to be scalable."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"We don't get good discounts in Pakistan."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"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."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"When it is about to reach the maximum storage capacity, it becomes slow."
"It should provide a GUI interface for data management and tuning."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"I have found that coding support could be simplified."
"The integration of this solution with ODI could be improved."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
SingleStore is ranked 6th in Database as a Service with 7 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. SingleStore is rated 8.8, while Vertica is rated 8.4. The top reviewer of SingleStore writes "A reasonably priced product that offers good speed and seamless support". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". SingleStore is most compared with SQL Server, MySQL, Oracle Database, Teradata and MariaDB, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift and Teradata.
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SQreamDB is a GPU DB. It is not suitable for real-time oltp of course.
Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)
SQream is a GPU database suited for OLAP purposes. It's the best suite for a very large data warehouse, very large queries needed mass parallel activity since GPU is great in massive parallel workload.
Also, SQream is quite cheap since we need only one server with a GPU card, the best GPU card the better since we will have more CPU activity. It's only for a very big data warehouse, not for small ones.
Your best DB for 40+ TB is Apache Spark, Drill and the Hadoop stack, in the cloud.
Use the public cloud provider's elastic store (S3, Azure BLOB, google drive) and then stand up Apache Spark on a cluster sized to run your queries within 20 minutes. Based on my experience (Azure BLOB store, Databricks, PySpark) you may need around 500 32GB nodes for reading 40 TB of data.
Costs can be contained by running your own clusters but Databricks manage clusters for you.
I would recommend optimizing your 40TB data store into the Databricks delta format after an initial parse.
Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors
The top ones include Cassandra, MemSQL, MongoDB, and Vertica.