Compare Cassandra vs. Vertica

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Cassandra Logo
4,642 views|3,688 comparisons
Vertica Logo
14,969 views|8,575 comparisons
Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The technical evaluation is very good."

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"It maximize cloud economics for mission-critical big data analytical initiatives.""It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.""Eighty percent of the ETL operations have improved since implementing this solution.""The performance is very good and the aggregate records are fast.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""Allows us to take volumes and process them at a very high speed.""For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments.""Speed and resiliency are probably the best parts of this product."

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Cons
"Interface is not user friendly."

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"It needs integration with multiple clouds.""Fact-to-fact joins on multi-billion record tables perform poorly.""When it is about to reach the maximum storage capacity, it becomes slow.""Support is an area where it could get better.""Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.""The geospatial functionality could be designed better."

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Pricing and Cost Advice
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"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.""From a cost perspective, the software is less than most of its competitors."

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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.

Questions from the Community
Top 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
Top Answer: The performance is very good and the aggregate records are fast.
Top Answer: When it is about to reach the maximum storage capacity, it becomes slow.
Top Answer: The primary use of Vertica is as a data warehouse to perform aggregate and summary reports.
Ranking
3rd
out of 16 in NoSQL Databases
Views
4,642
Comparisons
3,688
Reviews
1
Average Words per Review
292
Avg. Rating
9.0
3rd
out of 30 in Data Warehouse
Views
14,969
Comparisons
8,575
Reviews
5
Average Words per Review
446
Avg. Rating
9.0
Popular Comparisons
Compared 17% of the time.
Compared 16% of the time.
Compared 10% of the time.
Compared 7% of the time.
Compared 24% of the time.
Compared 11% of the time.
Compared 10% of the time.
Compared 9% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
Apache
Micro Focus
Overview
A scalable multi-master database with no single points of failure. Scalability & high availability without compromising performance.

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.

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Sample Customers
Apple, BazaarVoice, Best Buy, eBay, NetflixCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider19%
Media Company8%
Manufacturing Company4%
REVIEWERS
Media Company20%
Computer Software Company20%
Marketing Services Firm17%
Comms Service Provider13%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider13%
Media Company8%
Financial Services Firm7%
Cassandra is ranked 3rd in NoSQL Databases with 1 review while Vertica is ranked 3rd in Data Warehouse with 6 reviews. Cassandra is rated 9.0, while Vertica is rated 9.0. The top reviewer of Cassandra writes "Excellent for technical evaluation and managing very large amounts of data". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Cassandra is most compared with InfluxDB, Couchbase, Accumulo, Cloudera Distribution for Hadoop and CouchDB, whereas Vertica is most compared with Snowflake, Apache Hadoop, Teradata, Amazon Redshift and Microsoft Azure SQL Data Warehouse.

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