Compare SQream DB vs. Vertica

SQream DB is ranked 25th in Relational Databases while Vertica is ranked 6th in Data Warehouse with 4 reviews. SQream DB is rated 0, while Vertica is rated 9.0. On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". SQream DB is most compared with Cassandra, MongoDB, MemSQL, SQL Server and Kinetica, whereas Vertica is most compared with Snowflake, Apache Hadoop, Teradata, Amazon Redshift and VMware Tanzu Greenplum.
Cancel
You must select at least 2 products to compare!
SQream DB Logo
1,120 views|848 comparisons
Vertica Logo
15,507 views|8,845 comparisons
Most Helpful Review
Use SQream DB? Share your opinion.
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: June 2020.
426,043 professionals have used our research since 2012.
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
Information Not Available
It is fast to purchase through the AWS Marketplace.The pricing and licensing depend on the size of your environment and the zone where you want to implement.

More Vertica Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Relational Databases solutions are best for your needs.
426,043 professionals have used our research since 2012.
Answers from the Community
Morten Calisch
author avatarC Dove
Real User

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

author avatarYuval 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.

author avatarTristan 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.

Ranking
25th
Views
1,120
Comparisons
848
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
out of 32 in Data Warehouse
Views
15,507
Comparisons
8,845
Reviews
4
Average Words per Review
199
Avg. Rating
9.0
Popular Comparisons
Compared 22% of the time.
Compared 16% of the time.
Compared 8% of the time.
Compared 7% of the time.
Compared 6% of the time.
Compared 21% of the time.
Compared 12% of the time.
Compared 10% of the time.
Compared 9% of the time.
Compared 8% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
SQream Technologies
Video Not Available
Micro Focus
Overview
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).

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

Offer
Learn more about SQream DB
Learn more about Vertica
Sample Customers
Orange Corporate ITCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
No Data Available
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company42%
Comms Service Provider12%
Media Company9%
Retailer5%
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: June 2020.
426,043 professionals have used our research since 2012.

See our list of best Relational Databases vendors.

We monitor all Relational 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.