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2017-07-19T11:17:00Z

Top 4 Cloud Data Warehouse Tools 2017

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Published:Jul 19, 2017
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it_user783354 - PeerSpot reviewer
Consultant
2017-12-04T14:59:31Z
Dec 4, 2017
it_user3396 - PeerSpot reviewer
Real User
Top 5
2017-07-25T18:04:17Z
Jul 25, 2017
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: November 2024.
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Related Questions
Zach Shay - PeerSpot reviewer
Jul 13, 2023
Jul 13, 2023
Hi Zack, 5 GB data is a very small DB, and unless you have a heavy load on your system, it shall work fine on any regular DB. Due to the fact that until now you worked with Microsoft Access, it does not make sense that your problems are due to a load on the system. In this case, I think that any DB like MySql or other DB’s running on Google Cloud can be a better solution. In Snowflake you are p...
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Sarath Boppudi - PeerSpot reviewer
Jul 13, 2023
Hi Zach, that is a great question. The answer to that question is not so easy to answer.  The answer to that depends on the type of workload you are looking to implement in either Snowflake or Google Big Query. There are differences in databases you can use to handle transactional queries and analytical queries. I am happy to discuss this in more detail, to make sure that the best choice is made for your organization. Please feel free to reach out to me and we can organize a meeting to catch up. Kind Regards, Sarath
HAGAY REINMAN - PeerSpot reviewer
Jul 13, 2023
Hi Zack, 5 GB data is a very small DB, and unless you have a heavy load on your system, it shall work fine on any regular DB. Due to the fact that until now you worked with Microsoft Access, it does not make sense that your problems are due to a load on the system. In this case, I think that any DB like MySql or other DB’s running on Google Cloud can be a better solution. In Snowflake you are paying for storage and per transaction, and you have the option to do some tuning, in other Cloud DB’s you are paying for storage and compute time, so you should do some searches and pilots to find the cheapest solution for your system. In any case, if you have Snowflake, it is a very fast DB, so it could be that the problems you have are due to networking issues.
NC
Apr 13, 2023
Apr 13, 2023
When I researched cloud data warehousing solutions in order to find the one that would best meet my needs, one solution stood out. Snowflake proved to be the best option for me and it is the solution that I would recommend. One of the main things that I really like about Snowflake is its versatility. It is comprised of three components that each enable Snowflake to fulfill a different function....
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DG
Nov 7, 2022
When I researched cloud data warehousing solutions in order to find the one that would best meet my needs, one solution stood out. Snowflake proved to be the best option for me and it is the solution that I would recommend. One of the main things that I really like about Snowflake is its versatility. It is comprised of three components that each enable Snowflake to fulfill a different function. These 3 components are: Cloud services. Snowflake functions as a self-contained cloud service. It enables me to utilize automation that leverages my organization’s data and improves our operational efficiency. Further, Snowflake provides me with robust security and data resiliency, which ensures that operations continue at all times. Query processing. With Snowflake, I never need to worry about the resource drain that comes along with the existence of concurrent workloads. Instead of running operations that compound the number of resources being spent, Snowflake runs operations by employing warehouses. These warehouses make it so that each query uses separate resource repositories. This keeps one operation from negatively impacting the performance of others. Database storage. Snowflake makes it possible for me to manage all parts of the data storage process in one place. Another feature that I think makes Snowflake extremely valuable is its scalability. It has a nearly limitless ability to scale up operations. It can do so without reducing operational speed.
ME
Apr 13, 2023
I recommend using Yellowbrick Cloud Data Warehouse primarily because it is faster than any other cloud DW, and because its faster it uses far less compute resource, it costs 80% less to run than any other competitor. Yellowbrick is a data warehouse that enables organizations to store, process, and analyze vast amounts of data quickly and efficiently. It is designed to handle a wide range of data types, from structured to unstructured, and supports both SQL and NoSQL queries. Here are some reasons why people should be using Yellowbrick: High performance: Yellowbrick is built on a high-performance architecture that can handle large datasets and complex queries quickly and efficiently. It uses a columnar data storage format that is optimized for analytical queries and supports advanced indexing and compression techniques to reduce storage requirements. Scalability: Yellowbrick is designed to scale horizontally, which means it can easily handle growing data volumes by adding more compute and storage resources. This makes it an excellent choice for organizations that need to process large amounts of data over time. Ease of use: Yellowbrick comes with an easy-to-use web-based interface that allows users to query data using SQL or NoSQL syntax. It also integrates with popular data visualization tools like Tableau and Power BI, making it easy to create insightful visualizations from your data. Security: Yellowbrick includes robust security features like encryption at rest and in transit, role-based access control, and auditing. This ensures that your data is secure and compliant with industry regulations. Email me if you would like to see it in action mike.evans@kronva.com
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