We performed a comparison between Cassandra and SingleStore based on real PeerSpot user reviews.
Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The time series data was one of the best features along with auto publishing."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"The solution's database capabilities are very good."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"A consistent solution."
"I am getting much better performance than relational databases."
"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."
"Some of the valued features of this solution are it has good performance and failover."
"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 product can automatically reinstall and reconfigure in case of a shutdown."
"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."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The paramount advantage is the exceptional speed."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"Cassandra could be more user-friendly like MongoDB."
"Fine-tuning was a bit of a challenge."
"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."
"The solution doesn't have joins between tables so you need other tools for that."
"Interface is not user friendly."
"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"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."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
"We don't get good discounts in Pakistan."
Cassandra is ranked 11th in Vector Databases with 19 reviews while SingleStore is ranked 10th in Vector Databases with 7 reviews. Cassandra is rated 8.0, while SingleStore is rated 8.8. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of SingleStore writes "A reasonably priced product that offers good speed and seamless support". Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas SingleStore is most compared with SQL Server, MySQL, Teradata, CockroachDB and Oracle Database. See our Cassandra vs. SingleStore report.
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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.