We performed a comparison between SingleStore and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), 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 paramount advantage is the exceptional speed."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"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."
"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."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The solution is quick, has good compression data, and is not expensive."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"I enjoy the cybersecurity and backup features."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"I have found the solution to be scalable."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"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."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"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."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"We don't get good discounts in Pakistan."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"They could improve the integration and some of the features in the cloud version."
"We faced some challenges when trying to use the temporary tables feature."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"The integration with AI has room for improvement."
"Support is an area where it could get better."
"It should provide a GUI interface for data management and tuning."
"They could improve on customer service."
SingleStore is ranked 6th in Database as a Service with 7 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. SingleStore is rated 8.8, while Vertica is rated 8.2. 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, Teradata, CockroachDB and MariaDB, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Cassandra.
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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: www.itcentralstation.com
The top ones include Cassandra, MemSQL, MongoDB, and Vertica.