We performed a comparison between Cassandra 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 most valuable features of this solution are its speed and distributed nature."
"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."
"The solution's database capabilities are very good."
"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."
"A consistent solution."
"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."
"The time series data was one of the best features along with auto publishing."
"Some of the valued features of this solution are it has good performance and failover."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"I enjoy the cybersecurity and backup features."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"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."
"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."
"Cassandra could be more user-friendly like MongoDB."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."
"The secondary index in Cassandra was a bit problematic and could be improved."
"The disc space is lacking. You need to free it up as you are working."
"Doesn't support a solution that can give aggregation."
"They could improve the integration and some of the features in the cloud version."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"We faced some challenges when trying to use the temporary tables feature."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"Support is an area where it could get better."
"They could improve on customer service."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
Cassandra is ranked 4th in NoSQL Databases with 19 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. Cassandra is rated 8.0, while Vertica is rated 8.2. 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 Vertica writes " A user-friendly tool that needs to improve its documentation part". Cassandra is most compared with Couchbase, InfluxDB, MongoDB, ScyllaDB and Apache HBase, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift and Teradata. See our Cassandra vs. Vertica 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.