snowflake vs azure vs aws

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. 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. 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. Snowflake is available on AWS, Azure, and GCP in countries across North America, Europe, Asia Pacific, and Japan. ", "I almost used all the OLAP databases but this is what I loved a lot, less in price Great Performance & User Friendly. We were looking to get away from all that administrative stuff. ( Log Out /  By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. AWS Command Line Tools need recoding for secure login? Clearly that wasn’t going to come from Azure SQL Data Warehouse.

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. This works fine for databases under a few hundred gigs, but can’t scale well beyond that without getting a lot of expensive hardware. Next I tried increasing our compute level. Why does having a college degree or not make a difference among how white Americans vote? It’s based on in-memory technology so to get the performance you have to have enough memory to fit the whole database in memory at once. Are polynomials bounded on the primes possible? No json support. You have to do lot of work to get something done. Change ), You are commenting using your Twitter account.

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. Is there a better way to update the schema of tables in Snowflake data warehouse without dropping the existing tables?

To subscribe to this RSS feed, copy and paste this URL into your RSS reader. It is convenient for data management and analysis.

SnowFlake integrates well with Relational/NOSQL data. AWS & Snowflake vs GCP: how do they stack up when building a data platform? In contrast, it would finish in only 1.3 minutes on our traditional SQL Server. Designed for large businesses in finance, utilities, consumer goods, and other industries, it is an analytics platform that provides data warehousing and big data analytics.

Performance in a bad schema design can be worked around using a huge compute cluster, but that may not be the best bang for the buck. Redshift has a more complex approach to JSON, and recommends against it for all but smaller use cases, and does not support XML. ( Log Out /  In SQL Server, the script resulted in a table that was several gigs in size. They currently offer Azure SQL Database as well as Azure SQL Data Warehouse. The performance difference between our traditional SQL server installed on a cloud VM and Azure SQL Database was HUGE! With Azure running at the Premium Tier 1000 DTU level, my script took 22 minutes to run.

Each table has to be assigned a distribution method since Data Warehouse is essentially just traditional SQL server sharded out across 60 nodes. The documentation for both products is good, but Snowflake is better laid

You need to know less "secret sauce" to make Snowflake work well. "It's so easy to get started and the performance in large datasets is incredible.

The other is the ability to submit a batch of multiple statements.

Snowflake Computing. That alone requires you to review all your code and re-engineer things. site design / logo © 2020 Stack Exchange Inc; user contributions licensed under cc by-sa. Change ), You are commenting using your Google account. I'd appreciate any info on Snowflake streams, if you've actually used them.

", "The interface is very attractive, it is extremely fast to query huge datasets, and there is a strong online community of users to learn from. Though it still lacks a lot of features I take for granted and can be tough to develop in due to the lack of IDE tools and community knowledge, I’m confident that snowflake is on the right track and has the proper foundational architecture which is the most important thing. 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. That can cause problems (OOM) when querying a subset of JSON elements across large tables, where the VARCHAR column is sized too big. Thanks. Both are popular choices in the market; let us discuss some of the major differences: AWS EC2 users can configure their own VMS or pre-configured images whereas Azure users need to choose the virtual hard disk to create a VM which is pre-configured by the third party and need to specify the number of cores and memory required. The performance has also been very fast for our needs.

4.3 / 5 "Snowflake is a great product and very competitive on pricing." The advantage of Snowflake is that can run on Azure, AWS… I'd appreciate any info about snowflake streams, if you've used that feature. Its hard to understand the partition. ", "And also query metadata help's us in understanding the performance issues if any. Finally I could get truly scalable performance in a database that “just works” no indexes, no log files, no execution plan hints, no backups, no maintenance plans, and almost no cost when I’m not actually using it.

Services. While the lack of constraints is a serious downside for a relational database, I decided that we could work around that by using stored procedures to check for constraint violations before executing any DML statements on the data. Then yes, Snowflake is correct. 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). Redshift assumes that your data is in S3 already.

Looter, would you be interested in advising a consulting company on a DB-heavy (Snowflake and other backends) project? I have slipped off my bike 3x in the last 2 months - will changing tyres help? How could I build a political system immune to gerrymandering yet still giving local representation?

When IPv6 was designed were there any specific considerations for other planets?

There’s a ton of complexity and nuance in how you tweak or distribution keys and columnerstore indexes, column statistics, etc. It has become ingrained into our workflow and we love using it.

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. The more I read, the more I became disillusioned. How do I substitute almond flour for all purpose flour?

Thanks to our global approach to cloud computing, customers can get a single and seamless experience with deep integrations with our cloud partners and their respective regions. One simple example is that you can’t use join’s in update or delete statements and cross-database joins are not supported. Snowflake supports S3, but has extensions to JDBC, ODBC and dbAPI that really simplify and secure the ingestion process. We have fairly optimized SQL servers here at TABS with a good amount of memory and raid-array drives. Though it’s the same underlying technology, there are enough changes that you have to re-design a lot. While going through Microsoft documentation, I find that they clearly admit that Azure SQL Database won’t have as good IO performance.

by We have a stream declared for each datalake table. ", "Its quite a good experience, and performance is not a issue anymore.

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