Cassandra vs SQream DB comparison

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3,588 views|2,814 comparisons
89% willing to recommend
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437 views|307 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cassandra and SQream DB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: April 2024).
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Q&A Highlights
Question: Which is the best RDMBS solution for big data?
Answer: I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
Featured Review
Himanshu Amodwala
Use SQream DB?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
  • "There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
  • "We are using the open-source version of Cassandra, the solution is free."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
  • More Cassandra Pricing and Cost Advice →

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    Answers from the Community
    Anonymous User
    Yuval Klein - PeerSpot reviewerYuval Klein
    Real User

    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.

    Tristan Bergh - PeerSpot reviewerTristan Bergh
    Real User

    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.

    Russell Rothstein - PeerSpot reviewerRussell Rothstein (PeerSpot)
    Vendor

    Morten, the most popular comparisons of SQream can be found here: www.itcentralstation.com
    The top ones include Cassandra, MemSQL, MongoDB, and Vertica.

    Questions from the Community
    Top Answer: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… more »
    Top Answer:There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using… more »
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    Ranking
    4th
    out of 18 in NoSQL Databases
    Views
    3,588
    Comparisons
    2,814
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    8
    Average Words per Review
    346
    Rating
    7.4
    Views
    437
    Comparisons
    307
    Reviews
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    Average Words per Review
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    Comparisons
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    SQream
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    Overview

    Cassandra is a distributed and scalable database management system used for real-time data processing. 

    It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model. 

    It is commonly used in finance, e-commerce, and social media industries.

    SQream DB is a relational database management systems (RDBMS) that uses graphics processing units(GPUs) from Nvidia. SQream DB is designed for big data analytics using the Structured Query Language (SQL).
    Sample Customers
    1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
    Orange Corporate IT
    Top Industries
    REVIEWERS
    Comms Service Provider29%
    Computer Software Company14%
    University14%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Comms Service Provider7%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Manufacturing Company26%
    Computer Software Company14%
    Healthcare Company12%
    Real Estate/Law Firm7%
    Company Size
    REVIEWERS
    Small Business35%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise11%
    Large Enterprise60%
    Buyer's Guide
    NoSQL Databases
    April 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Cassandra is ranked 4th in NoSQL Databases with 19 reviews while SQream DB is ranked 27th in Relational Databases Tools. Cassandra is rated 8.0, while SQream DB is rated 0.0. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, Cassandra is most compared with Couchbase, InfluxDB, MongoDB, ScyllaDB and Oracle NoSQL, whereas SQream DB is most compared with Oracle Database, MongoDB, Cloudera Distribution for Hadoop, SQL Server and SingleStore.

    We monitor all NoSQL Databases 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.