TrustRadius
Snowflake is the eponymous data warehouse with an emphasis on analysis, from the company in San Mateo, California.https://media.trustradius.com/product-logos/mJ/cO/J5XIE3MICFO8.PNGSnowflake ComputingSnowflake's ease of use allows you to focus on what matters most - the data you're filling it with2019-06-10T22:37:15.033ZMy company adopted Snowflake as our first cloud-based data warehouse. It is being used as a central repository for all company data from each business unit for the purposes of business intelligence.,Ease of use
Separation of storage and compute resources
Simple to scale up or down with virtual warehouses
Built-in support for the most popular data formats
Standard SQL dialect
Robust function library,Lacks support for common table expressions
Lacks support for correlated subqueries
Better technical support for customer identified bugs
Clearer pricing model,9,Centralized disparate data sources across the company
Used to associate fragmented and unlock key insights
Integrates easily with our business intelligence tool, Sisense,Amazon Redshift, Google Cloud Datastore and Microsoft Azure,Sisense, Matillion,9Andrew GossSnowflake - flexible and isolated workloads2019-06-06T20:23:39.964ZCapital One has many LOBs (lines of business). I have supported IAM and Commercial LOBs. They are using Snowflake as a data warehouse solution. The team is also using Redshift. The team noticed the concurrency limit with Redshift. Snowflake is a simple architecture with isolated compute capabilities. Redshift does not separate storage and computer capacities. Based on the workloads, the capacity is scaled up and scaled down using the option: Dataware. Right now, Snowflake is the heart-cake requirement for the company.,The beauty of Snowflake is virtual warehouses. This provides an isolated workload and capacity (Virtual warehouse ). This allows separating or categorizing workloads and query processing according to our requirements.
Snowflake provides a unique architecture that supports structured and semi-structured data. provides the ready-made solutions to process with the semi-structured data such as JSON, Avro, ORC, Parquet, and XML
SQL kind queries make easy to write/develop the code. Provided features such as materialized views to optimize the query processing and loads
Snowflake database is managed by snowflake team. This simplifies the DBA job from maintenance kinds of tasks such as patchworks and regular upgrades.,Performance degradation happens when many users are on the system at the same time.
Snowflake support is slow often.
Snowflake provides Virtual warehouses for having performance. however, it may cost more.,9,Quick installation/setup for a data warehouse solution.
Make easy to handle/manage the various type of semi-structured data using the native solutions and provided new data modeling concepts such as schema-read data model and schema-write data model.
Make easy and simplified the workload management using virtual warehouses and materialized views.,Amazon Redshift and Apache Hive,AWS OpsWorks, Azure API Management, Amazon Redshift,8Jacob BiguvuSnowflake Cloud Data Warehouse - The Good, the Bad and the Ugly2019-05-14T19:25:17.261ZSnowflake is being used across our whole organization. It addresses the need to combine disparate data sources into one single data source and discover insights into our business that would not be easily possible with lots of disconnected data sources. It also delivers world-class query performance and the ability for different business divisions to query their own data quickly and create reports in a fraction of the time as opposed to a traditional data warehouse solution. We are also using it to drive machine learning, and the data scientists are gaining insights into our business data that would not be possible otherwise. It is addressing multiple business problems, from distribution of our products all the way through to billing.,Reporting queries run in a fraction of the time that they would in our production systems. For example, we can take the original MS SQL reporting queries , that used to take hours to run in our OLTP databases, and convert it into snow SQL, and run almost the exact same query in Snowflake in minutes, if not seconds.
Having all our different data sources in one data warehouse database means we can start looking for links between data sources and different business units to tie all our data together. We can see from when a customer was dialled, through to when/if they bought a product, to when they were actually billed, and identify where in the process we are most efficient, and where we can improve our services and product offerings.
Having a truly automated database system, without the need to create indices or maintain them, means we can spend more time in gaining insights into our data and getting actual results/data out, rather than spending time managing and maintaining the solution.,There is no easy way to schedule any type of task.,9,I have no idea on ROI.,,Fivetran, Azure SQL Database,8Wicks JustinCloud-Based Data Warehousing Done Right2019-05-05T00:54:33.899ZWe replaced our RDS Postgres based DW with Snowflake. We use it as the main data source for all analytics components within our SaaS product, internal reporting, and ad hoc analysis by power users. We are now also able to analyze JSON without the need for transformation by easily replicating S3 buckets with Snowpipe.,Provision compute resources instantly and autoscaling. True elastic, pay as you go pricing model.
Secure Data Sharing. No other vendor offers this. This is big if you have the need to do a lot of data extracts.
Ability to segregate clusters of computer resources (warehouses) by use pool. You can give power users access without the fear of slowing down critical applications.
Cloud first architecture offers simple integration with other cloud-centric technologies/tools like S3 storage, streaming/replication brokers like Kafka, Alooma and cloud base BI tools.
Big Data analytics capabilities with the familiarity of ANSI SQL. Short learning curve.,Compilation times on somewhat complex queries is high. We use materialized views to address this problem and take advantage of caching, but we believe there is room for improvement here.
SLA's dependent on the big cloud player (AWS, Azure, GCP). If they have interruptions, you have interruptions. This is the current reality of cloud computing.,10,Cost and performance vs our previous DW are several times better.
Shorter development cycles are possible based on the ability to easily ingest and query semi-structured data.
Data sharing capability can be a catalyst for new products.,Amazon Redshift, Amazon Aurora and Amazon Relational Database Service,Alooma, Dundas BI, Pentaho, TIBCO Jaspersoft Community Edition, PostgreSQL,9Carlos Fares, CBIPSeamless and Invisible2019-05-02T21:52:49.177ZWe use Snowflake as a virtual warehouse to hold our data in a layer which is organised in a way that is ready and efficient for analysing. We drop data into it with a scheduled ETL tool, and then use a BI tool to refresh the data extracts overnight each night.,Scales up and down seamlessly
Only charges when it's being used
Easy and transparent to use,Coding language is a little tricky in places, not quite the SQL used elsewhere
Setting up not quite as seamless as expected,9,We are able to manage our usage perfectly, keeping costs down
It will scale with us, immediately and transparently,Matillion, Tableau Desktop and Tableau Online,Matillion, Tableau Desktop, Tableau Online,9Martin HawGreat DW tool!2019-05-27T22:58:05.001ZWe use Snowflake for basic data munging from OLTP databases, APIs, etc. It is only used in our sizable Data department. It solves the problem of spinning up and managing a DW quickly without dedicated DBA support.,A nice UI with options to see the SQL/Code to automate steps in the UI.
Has great SQL features like LISTAGG or Count Distinct, which go above and beyond Oracle and MS SQL.
It's very fast!,The SQL editor. The worksheets are nice, but code editors today have auto-fill, debug highlighters, etc. They are working on this I'm told.
Worksheets (where you edit SQL) cannot be exported today.
Occasionally a bug is introduced during releases. It's no big deal.,10,Snowflake allows us to iterate quickly.
It allows us to start small.
We can scale quickly.,Oracle Database and MySQL,9Eric FischerSnowflake(cloud-only) Data Warehouse: Excellent Performance and Scalability2019-06-20T23:24:33.724ZA few months ago, we'd decided to migrate our on-premise BI stack to cloud as on-premise solutions were not able to meet growing demands. Clearly, we were looking for cloud-only solutions. After extensive research and POC of several tools, we've on-boarded Snowflake. Snowflake is primarily used by the BI developers as our primary data warehouse and the resulting data is used by the whole organization via the dashboard or Excel extracts. Impressive data compression rate and faster data retrieval make it the best choice as an enterprise data warehouse.,Impressive data retrieval and data compression ratio.
Semi-structured data (JSON, XML) can be loaded as is and retrieved in a tabular structure on the fly using the flatten function.
Zero-copy cloning is an excellent feature which saves hours to refresh latest data in development instance.
Extensive usages documentation with examples makes development easy.,Stored procedures are implemented through JavaScript. Would be an additional overhead if your team doesn't have expertise.
No option to run multiple queries and analyze the results set in the same console window.,9,Faster data retrieval makes real time analysis possible.
Option to create multiple warehouses enable us to track usages and cost by departments.
Option to scale up/down computational warehouse to support peak hours and month end loads makes Snowflake cost effective.
Zero-copy cloning reduces storage and deployment cost.
Multiple users can access the same amount of data without deadlocks which is a common scenario in relational databases.,Amazon Redshift, Microsoft SQL Server and PostgreSQL,9Verified UserSnowflake Performance for Large Company2019-05-10T18:47:22.009ZWe are using Snowflake as our data warehouse. We currently are loading in our tables and data from an old IBM System to Snowflake. It is currently being used by a few departments but is planning to be used across the whole organization.,Performance is extremely fast
Pay for what you use
Simple and Pleasant User Interface,The mouse pointer can be laggy at times when hovering over a preview of a table
Make it easier to switch between data warehouses,10,It will save the company money by providing a new business solution to data warehousing
Pay as you go allows the company to choose what it wants to pay for and use,Amazon Redshift,Tableau Desktop, AWS CodePipeline, AWS Cloud9,10Verified UserFlexible and feature rich Data Warehouse, worth a try.2019-05-16T15:10:57.725ZIt is used by Data teams across different departments of the company for compute purposes.,On demand and instant spin up of compute instances is fantastic
I like the browser based tabs which save queries
Easy connection to Python and BI tools,SQL editor can be better with autocomplete functions,8,Saved a lot of money when we moved from Redshift (on demand clusters)
Saved time thanks to instant on demand compute instances
Dont have to worry about cluster setup like in Redshift,Amazon Redshift and Google BigQuery,IntelliJ IDEA, Looker,8Verified UserThe best data warehouse on the market2019-04-25T23:07:47.804ZWe use Snowflake across our entire organization. We selected Snowflake to replace Redshift as our data warehouse. All of our data now funnels into Snowflake and users are able to query it and draw insights that they have never had before. Additionally, we were able to build and release a reporting dashboard for our external clients to see all of their historical data with us in one place.,You only pay for the resources when you are using them
ANSI SQL compliant
Great documentation
Native Apache Spark connector,Does not support Dynamic SQL
Right now you can write User-Defined Functions (UDFs) in pure SQL or Javascript. I would love to see support for something like Python
We have been seeing more downtime lately as of writing this review,10,As an engineer, I don't see as much of the financial impact. I do know at least 10 customers have signed with us specifically after seeing the dashboards/insights they would get from our Snowflake data warehouse.,Amazon Redshift and Panoply,Databricks Unified Analytics Platform, Azure DevOps (formerly VSTS), Amazon S3 (Simple Storage Service), MySQL,10Verified UserSnowflake - a very cost effective JSON querying tool.2018-08-06T16:01:14.451ZSnowflake is currently being used to ingest daily JSON files exported from an analytics package into S3. We use Snowflake for Ad Hoc Queries, aggregating daily KPIs and pushing that data into a SQL Server, as well as creating Tableau extracts for our dashboards. We have also started using it for deeper Machine Learning types of analysis - such as creating predictive models.,Process Engine control - we can stop/pause/start engines for various tasks.
Processing speed is adequate unless there are many users on at the same time.
Web interface is easy and intuitive, like the fact that your queries are automatically saved in tabs.,Very limited amount of tabs - saved queries, which requires us to store the code somewhere else and re-use existing queries.
Performance can really be a problem if there are many users on the system at the same time.
SnowFlake support sometimes can be hard to reach.,7,We are able to organize all the various data sources into one place and run Ad hoc queries against them.
Snowflake being very cost effective is definitely saving us $ over their competitors.
We are able to track KPIs across various games and compare them to each other, thus knowing where to invest our marketing dollars.,Treasure Data,Tableau Desktop, JIRA Software, Anaconda, GitHub,10,7,Ad Hoc Analysis of various things that are going on in our games.
In-Depth model building to improve our users' experience.
Aggregating data and create dashboards to display our KPIs to management.,We've been able to leverage the cost of Snowflake to get better deals out of our other vendors.
Machine Learning model building.
In-Depth analytics investigation into performance of our games.,Expand our portfolio of games that use SnowFlake.
Add data from other marketing sources into SnowFlake to integrate with gaming data.
Build a warehouse sitting on top of SnowFlake with aggregated data.,8Verified UserYour DWH entirely on the cloud!2017-10-11T19:36:07.563ZThe analytics and reporting team uses Snowflake as their primary Business Intelligence (BI) tool. Combined with several reporting and charting tools, Snowflake provides insight across all departments in the organisation. Snowflake helps provide the business with crucial analytical understanding of performance which, in turn, influences business strategy for the entire organisation.,Easy to set up and get running.
Great support.
Integrates well with Amazon AWS.,Charting features could be better.
Reporting tools are not very extensive, creating a need for combining with other tools like Tableau.
Data Warehouse entirely on the cloud might be a problem for some businesses.,8,Significantly improved the efficiency of analytics and reporting.
Performance of queries has gone up.
Allows for easy changes, making project timelines move faster.,Informatica Enterprise Data Integration,Informatica Enterprise Data Integration, Talend Data Integration, Talend Open StudioVerified UserWhy I love Snowflake!!!2016-01-25T19:38:51.243ZSnowflake is currently used by our business intelligence team. The data from Snowflake is used by entire organization in the form of Tableau reports/dashboards etc. Snowflake database is used to deliver information for the following:
- Data science projects for decision making on products, game performance, user acquisition etc.
- Marketing Programs. Data is used to target users for marketing special offers.
- Make changes and improve the game interface for the user.
- Ad-hoc extracts for functional teams such as marketing, product and third party vendors.,Truly elastic & highly optimized SQL database
Minimal management overhead
Support for both structured and semi-structured data
Uses standard SQL
Seamless integration between file system & S3,Documentation,10,Cost effective
Plays well with other tools in our technology stack
Rapid development time,Amazon Redshift,Talend Integration SuiteRajesh Ganesan
Unspecified
Snowflake
44 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
