Apache Cassandra vs. Snowflake

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cassandra
Score 7.7 out of 10
N/A
Cassandra is a no-SQL database from Apache.N/A
Snowflake
Score 9.0 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
Pricing
Apache CassandraSnowflake
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CassandraSnowflake
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache CassandraSnowflake
Top Pros
Top Cons
Features
Apache CassandraSnowflake
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache Cassandra
8.0
5 Ratings
9% below category average
Snowflake
-
Ratings
Performance8.55 Ratings00 Ratings
Availability8.85 Ratings00 Ratings
Concurrency7.65 Ratings00 Ratings
Security8.05 Ratings00 Ratings
Scalability9.55 Ratings00 Ratings
Data model flexibility6.75 Ratings00 Ratings
Deployment model flexibility7.05 Ratings00 Ratings
Best Alternatives
Apache CassandraSnowflake
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Db2
Db2
Score 8.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Db2
Db2
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CassandraSnowflake
Likelihood to Recommend
6.0
(16 ratings)
9.2
(37 ratings)
Likelihood to Renew
8.6
(16 ratings)
10.0
(2 ratings)
Usability
7.0
(1 ratings)
8.7
(13 ratings)
Support Rating
7.0
(1 ratings)
9.9
(8 ratings)
Implementation Rating
7.0
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Apache CassandraSnowflake
Likelihood to Recommend
Apache
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/1Ok56TK It 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.
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Snowflake Computing
I am over our HR data, and we use Workday for our HR management system. I have a script in place that runs reports on Workday and saves the results as CSVs. I can then use stages in Snowflake to insert these CSVs into Snowflake, then I can insert or truncate and replace these staged tables into a final schema. Then once these are in a schema I can reference them and build out my data models. In addition to ingesting CSVs, Snowflake has the ability to write a CSV file to our Amazon S3 bucket. Ingesting these CSVs, transforming the data, then delivering it to a destination would've involved so much more coding than my current process if we were on any other platform.
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Pros
Apache
  • 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.
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Snowflake Computing
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
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Cons
Apache
  • 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.
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Snowflake Computing
  • This tool is very much technical and proper knowledge is required, so mostly you have to hire an IT team.
  • I wish if various videos could be available for basic quires like its initiation, then I think it would act as a guideline and would help the beginners a lot.
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Likelihood to Renew
Apache
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.
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Snowflake Computing
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
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Usability
Apache
It’s great tool but it can be complicated when it comes administration and maintenance.
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Snowflake Computing
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
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Support Rating
Apache
Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
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Snowflake Computing
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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Alternatives Considered
Apache
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
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Snowflake Computing
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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Return on Investment
Apache
  • 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.
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Snowflake Computing
  • Positive impact: we use Snowflake to track our subscription and payment charges, which we use for internal and investor reporting
  • Positive impact: 3 times faster query speed compared to Treasure Data means that answers to stakeholders can be delivered quicker by analysts
  • Positive impact: recommender systems now source their data from Snowflake rather than Spark clusters, improving development speed, and no longer require maintainence of Spark clusters.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation