What users are saying about
73 Ratings
21 Ratings
73 Ratings
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Score 8 out of 100
21 Ratings
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Score 7.8 out of 100

Likelihood to Recommend

Cassandra

Apache Cassandra is a NoSQL database and well suited where you need highly available, linearly scalable, tunable consistency and high performance across varying workloads. It has worked well for our use cases, and I shared my experiences to use it effectively at the last Cassandra summit! http://bit.ly/1Ok56TKIt is a NoSQL database, finally you can tune it to be strongly consistent and successfully use it as such. However those are not usual patterns, as you negotiate on latency. It works well if you require that. If your use case needs strongly consistent environments with semantics of a relational database or if the use case needs a data warehouse, or if you need NoSQL with ACID transactions, Apache Cassandra may not be the optimum choice.
Rekha Joshi | TrustRadius Reviewer

Vertica

Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
Eva Donaldson | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Cassandra
7.9
Vertica
Performance
Cassandra
8.2
Vertica
Availability
Cassandra
8.6
Vertica
Concurrency
Cassandra
7.8
Vertica
Security
Cassandra
8.0
Vertica
Scalability
Cassandra
9.2
Vertica
Data model flexibility
Cassandra
6.6
Vertica
Deployment model flexibility
Cassandra
7.0
Vertica

Pros

Cassandra

  • Continuous availability: as a fully distributed database (no master nodes), we can update nodes with rolling restarts and accommodate minor outages without impacting our customer services.
  • Linear scalability: for every unit of compute that you add, you get an equivalent unit of capacity. The same application can scale from a single developer's laptop to a web-scale service with billions of rows in a table.
  • Amazing performance: if you design your data model correctly, bearing in mind the queries you need to answer, you can get answers in milliseconds.
  • Time-series data: Cassandra excels at recording, processing, and retrieving time-series data. It's a simple matter to version everything and simply record what happens, rather than going back and editing things. Then, you can compute things from the recorded history.
David Prinzing | TrustRadius Reviewer

Vertica

  • Extremely fast query performance - Vertica is one of the fastest query engines out there.
  • Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
  • Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.
Praveen Murugesan | TrustRadius Reviewer

Cons

Cassandra

  • Cassandra runs on the JVM and therefor may require a lot of GC tuning for read/write intensive applications.
  • Requires manual periodic maintenance - for example it is recommended to run a cleanup on a regular basis.
  • There are a lot of knobs and buttons to configure the system. For many cases the default configuration will be sufficient, but if its not - you will need significant ramp up on the inner workings of Cassandra in order to effectively tune it.
Anonymous | TrustRadius Reviewer

Vertica

  • Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
  • Managing large workloads (concurrent queries) is a bit challenging.
  • Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
  • Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
Traian Antonescu | TrustRadius Reviewer

Likelihood to Renew

Cassandra

Cassandra 8.4
Based on 16 answers
I would recommend Cassandra DB to those who know their use case very well, as well as know how they are going to store and retrieve data. If you need a guarantee in data storage and retrieval, and a DB that can be linearly grown by adding nodes across availability zones and regions, then this is the database you should choose.
Anonymous | TrustRadius Reviewer

Vertica

No score
No answers yet
No answers on this topic

Usability

Cassandra

Cassandra 7.0
Based on 1 answer
It’s great tool but it can be complicated when it comes administration and maintenance.
Glen Kim | TrustRadius Reviewer

Vertica

No score
No answers yet
No answers on this topic

Support

Cassandra

Cassandra 7.0
Based on 1 answer
Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
Glen Kim | TrustRadius Reviewer

Vertica

Vertica 7.0
Based on 1 answer
HP/Micro Focus Vertica support is in par with other bigger vendors. In addition to this, there is enough best practices documentation available for some of the most common ways you will use Vertica that makes it easy to get Vertica up and running.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Cassandra

We evaluated MongoDB also, but don't like the single point failure possibility. The HBase coupled us too tightly to the Hadoop world while we prefer more technical flexibility. Also HBase is designed for "cold"/old historical data lake use cases and is not typically used for web and mobile applications due to its performance concern. Cassandra, by contrast, offers the availability and performance necessary for developing highly available applications. Furthermore, the Hadoop technology stack is typically deployed in a single location, while in the big international enterprise context, we demand the feasibility for deployment across countries and continents, hence finally we are favor of Cassandra
yixiang Shan | TrustRadius Reviewer

Vertica

Presto would be a good solution that would be less expensive and would also allow direct querying of all our data on Hadoop while maintaining good speed.
Anonymous | TrustRadius Reviewer

Return on Investment

Cassandra

  • I have no experience with this but from the blogs and news what I believe is that in businesses where there is high demand for scalability, Cassandra is a good choice to go for.
  • Since it works on CQL, it is quite familiar with SQL in understanding therefore it does not prevent a new employee to start in learning and having the Cassandra experience at an industrial level.
Anonymous | TrustRadius Reviewer

Vertica

  • For our internal business we have insights we could never have had without Vertica. We can actually see where our money is coming from and point our marketing and sales strategies in the correct direction thereby returning far more than we pay.
  • For our customers we can offer services they had been begging for. Before implementing Vertica we had no insight on a client's marketing across all their activities because the data was just too large. Now, there is no question we can't answer.
Eva Donaldson | TrustRadius Reviewer

Pricing Details

Cassandra

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Vertica

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Cassandra
8.2
Vertica
7.2

Likelihood to Renew

Cassandra
8.4
Vertica

Usability

Cassandra
7.0
Vertica

Support

Cassandra
7.0
Vertica
7.0

Implementation

Cassandra
7.0
Vertica

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