rev 2020.10.22.37874, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide. Snowflake functionality is amazing, including: One thing that I would caution about Snowflake is that one might be tempted to hire less skilled developers/DBAs to run the system. At this level of performance Azure would be costing us about $1500 per month running 10hrs/day during business hours which is much more than we pay today for SQL server. If yes, their contact info is below: Company name: Akvelon Phone Number: +1 (206) 905-4626 Contact form: The Loop: Our Community Roadmap for Q4 2020, Podcast 279: Making Kubernetes work like it’s 1999 with Kelsey Hightower. Change ), You are commenting using your Twitter account. ", "I almost used all the OLAP databases but this is what I loved a lot, less in price Great Performance & User Friendly.
We use tasks to do ETL processing, pulling in change data from the streams, processing it, then updating the star schema in our data warehouse. This is a great product. While going through Microsoft documentation, I find that they clearly admit that Azure SQL Database won’t have as good IO performance. Its hard to understand the partition. I'm not sure what experience this came from but: the admin console in redshift is quite real, functional and extensive. by

", "I really like the product and really love the customization with the jobs. Why the suddenly increase of my database .mdf file size? Its like comparing Smartphone vs Morse code mechine. Our processes are very OLAP in nature involving a relatively small number of large transactions vs. many small concurrent transaction (OLTP). Next I tried increasing our compute level. They currently offer Azure SQL Database as well as Azure SQL Data Warehouse. They also do not have a cloud service in the US from what I understand, so you’re forced to setup your own hardware or VM and install Exasol, do backups, etc. Our goal was to go to a modern cloud-based system that is fast, simple, and cheaper without requiring a DBA with years of experience to get the benefit from it.

In contrast, it would finish in only 1.3 minutes on our traditional SQL Server. I was wondering if anyone has used both AWS Redshift and Snowflake and use cases where one is better . ( Log Out /  Though I considered AWS Redshift and Google Big Query, I concluded they don’t have the feature set or compatibility with other tools that we need since our systems are fairly complex and relational and not at the enormous petabyte scale that Redshift and Big Query are designed for. We were looking to get away from all that administrative stuff. Both platforms have millions of capabilities and you are actually asking about end user capabilities...which NONE of the two products you ask about actually have. Snowflake has great support for in-database JSON, and is rapidly enhancing its XML. ( Log Out /  In networking services, Amazon Virtual Private Cloud (VPC) enables users to create subnets, route tables, private IP address ranges, and network gateways as compared to Microsoft Virtual Network, which lets users do whatever VPC does. To be fair, I’m sure I didn’t test Azure data warehouse properly because to get the real benefit of the system, you really have to re-design your database to take advantage of it. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. I settled on snowflake and Azure as my final two options. While it’s technically a cloud service, it’s really just 30 year old legacy software running in a shared cloud environment which brings with it all the limitations like log bottlenecks, index fragmentation, etc. Why don't we percieve chords like we perceive the mix of two light waves? My first choice was to try Azure’s offerings since I assumed that would be the most painless transition from our old SQL server databases. With the ease that is found with Azure, we can invest more time before we spend with small problems, in improving and guaranteeing the operation." You have to do lot of work to get something done. At Ajilius our developers use Redshift, Snowflake and Azure SQL Data Warehouse on a daily basis; and we have customers on all three platforms. Since my initial testing I’ve been immersed in setup and transitioning things to snowflake. Selected radio button shows user more content, Relaxation and complexity of two formulations. Here are their words: “The key insight is that the IO capacity of a shared, commodity system is more limited than that of a dedicated server machine.”. Each time I did, the query time was cut in half meaning that if I selected a high enough level I could get my test to run in seconds. Redshift is like morse code kind of implementation and its not for mordern development. Next I tried some real-world data. When I analyzed the performance metrics of the server, I saw that it was only using 40% of the DTUs and the bottleneck was writing to the log file. I took 320 million rows of sales data which was about 17 GB when stored in a SQL table with page compression enabled. The performance difference between our traditional SQL server installed on a cloud VM and Azure SQL Database was HUGE! Snowflake offers instant scaling, where as Redshift takes minutes to add more nodes. In my tests, it did perform quite a bit faster than Azure SQL Database, but still was only on-par or slightly better than what we were getting in our normal SQL install. No upfront index or partition key required. The scaling of the service was much easier than with an on-prem installation (obviously) but it was still quite complicated to automate requiring you to build a powershell script to scale it up and down on a regular basis over night, for example. Is `new` in `new int;` considered an operator? I'd appreciate any info on Snowflake streams, if you've actually used them. Why does having a college degree or not make a difference among how white Americans vote? ( Log Out /  ", "It's so easy to get started and the performance in large datasets is incredible. ", "Azure came to solve this kind of situation. There’s a ton of complexity and nuance in how you tweak or distribution keys and columnerstore indexes, column statistics, etc.

Snowflake is available on AWS, Azure, and GCP in countries across North America, Europe, Asia Pacific, and Japan. Redshift has a more complex approach to JSON, and recommends against it for all but smaller use cases, and does not support XML. This year I got back in touch with them and found that they are finally offering Javascript stored procedures in private preview right now. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I did a few joins and wrote the result to a table. In snowflake it finished in 6 minutes using the Extra Small compute level and the resulting table was only 10 GB. Editions are determined by volume and types of data, geographical regions, and AWS or Azure platform. It is convenient for data management and analysis. Even if we scaled all the way up to the really expensive service levels in Azure we could still barely get the performance we had on our own SQL server which left me quite disillusioned.
", "I love its simplicity and ease. No json support. ", "Simple to use, cost effective, well documented and fully featured. I have slipped off my bike 3x in the last 2 months - will changing tyres help? Though it’s the same underlying technology, there are enough changes that you have to re-design a lot. That alone requires you to review all your code and re-engineer things. Thanks!

I moved several databases up there to test it. I setup a trial account and started running tests. How should one take advantage of the "premove" function on chess.com? ". That can cause problems (OOM) when querying a subset of JSON elements across large tables, where the VARCHAR column is sized too big. 4.3 / 5 "Snowflake is a great product and very competitive on pricing."

I evaluated Redshift and Snowflake, and a little bit of Athena and Spectrum as well. Did Elisha okay bowing down before an idol in 2 Kings 5:19? Over the next series of posts, I’ll walk you through how we’re overcoming each issue and what we’re learning along the way. The advantage of Snowflake is that can run on Azure, AWS… As a test, I created a simple script that duplicated a table several times resulting in a large amount of IO activity (a good benchmark for our type of OLAP activity). Here are some reasons why Snowflake is better: I can only think of two cases which Redshift wins hands-down. How to connect to snowflake using browser client in case of privatelink. Change ), You are commenting using your Facebook account. Each table has to be assigned a distribution method since Data Warehouse is essentially just traditional SQL server sharded out across 60 nodes. And since you only pay for the minutes you use, it was the same total cost whether I ran it at 6 minutes on a low level or 1 minute at a high level. At Ajilius our developers use Redshift, Snowflake and Azure SQL Data Warehouse on a daily basis; and we have customers on all three platforms. ", "And also query metadata help's us in understanding the performance issues if any. In our case we had to define the VARCHAR as extremely large to accommodate a few records that had very large JSON documents. Snowflake Computing. ( Log Out /  The support team responds quick and good. I got excited! AWS & Snowflake vs GCP: how do they stack up when building a data platform?

One is geographic availability, as Redshift is available in far more locations than Snowflake, which can make a difference in data transfer and statement submission times. Though I considered AWS Redshift and Google Big Query, I concluded they don’t have the feature set or compatibility with other tools that we need since our systems are fairly complex and relational and not at the enormous petabyte scale that Redshift and Big Query are designed for.


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