30.12.2022 | Nikolay Valiotti
20 KPIs for a Growing SaaS Business in 2022
Data Warehouse as a Service, or DWaaS, has gained much popularity in the past decade. It is a service primarily provided by Snowflake Inc, and it has been since 2012. However, today, some big names provide the same services, including Microsoft, IBM, Google, and Oracle. Selecting the right one according to your business’ data management requirements is essential.
The right platform maintains agile data warehousing, prescriptive analytics, and storage principles to help your business grow. So, here we will discuss whether Snowflake is the best DWaaS for you.
Snowflake is a data solution to scale and fulfill enterprise data warehousing needs while minimizing the enterprise’s maintenance and workload connected to data storage. It is a cloud-based service available in Google Cloud, Microsoft Azure, and AWS that does not require hardware management.
These data warehousing solutions need no installation, software management, or configuration with your business solution. Today you may find several cloud data warehouse solutions for data storage and processing. However, Snowflake comes with several factors that distinguish it from others.
Businesses have some distinct and overlapping requirements from the data warehouse provider. Snowflake brings several benefits for all those requirements.
Using Snowflake to manage and analyze data will never require any maintenance. While other database administrators rely solely on routine maintenance for their data warehouse solutions to ensure reliability and performance, that’s not needed with Snowflake.
Snowflake lets users manage their infrastructure by optimizing their data using the ANSI SQL cloud services. It handles the encryption of the data to maintain certifications like HIPAA and PCI DSS, so your infrastructure integrity and data security will retain meaning.
It uses query parsing, authentication, metadata management, query optimization, and access control features to maintain those certifications robustly.
Your enterprise may upload semi-structured or structured data here. Snowflake will process that data and automatically manage its analysis, storage, organization, metadata, compression, statistics, structure, and file size.
With Snowflake, there is no need for manual data management or maintenance, as it simplifies automation. Snowflake allows automating the:
of your data. Thus, your enterprise can enjoy an optimized performance with greater capacity, less downtime, and cheaper overall costs. It improves the overall system efficiency for every business with high reliability achieved through automation.
The compute layer is made from virtual cloud warehouses where you can analyze data through query requests. Every virtual warehouse is an independent cluster, and one does not affect the performance or resources of the other.
So, workload concurrency will never be a problem with Snowflake. Efficient query processing is one of the best benefits of the Snowflake cloud migration strategy.
Snowflake uses SQL, which allows enterprises to scale their computing units easily and efficiently without creating redundancy. It also helps separate storage from computing hardware for an instant scaling experience with no downtime.
With Snowflake, you can use a code line to resize computing units while scripting the data transformation. All this can be done without waiting for the load balancing of current data clusters or stopping current workloads.
The single elastic performance engine delivers high performance and allows instant scalability. The multi-cluster resource isolation gives businesses the performance they need to manage concurrent workloads. With its analytics, feature engineering, interactive application access, and complex data pipelines, users with all skill sets and businesses of all scales can leverage their data.
With Snowflake, your on-site team can focus more on core business goals, and the database team can get insights using prescriptive analytics on end-user data. Centralized data allows your team to make actionable informed decisions.
Snowflake eliminates issues like the lack of data on disk drives or the lack of computing power required for data transfer and big data analytics. The cloud data warehouse from Snowflake ensures that all database-related disk requirements can be solved with optimization, architecture, and database modeling performed by your on-site team.
Snowflake centralizes vast amounts of data over data cloud solutions. So, concurrent users and applications at your enterprise can seamlessly use that data.
Snowflake accelerates Machine Learning and Artificial Intelligence features with its analytics engine. The high-performance data, in combination with higher computing power, brings infinite possibilities to automate workflows instantly.
With Snowflake, you can start scaling your business by distinguishing between computing and storage options. Through this process, your business gets on-demand scaling for each of these operations, and Snowflake provides transparent information about your requirements.
It supports spinning new data clusters that can instantly implement systems that, if you implement with on-premises hardware, would take up to months of setting up and configuration.
Snowflake automatically scales resources without harming performance, uptime, or data accuracy. Traditionally, scaling can take weeks because data is spread across several sources. Snowflake centralizes data for instant scaling. Thus, it provides newer growth opportunities for your business.
Using Snowflake data warehouses and data services solves several critical business problems. So, here are the top reasons to consider Snowflake.
When you store data with snowflake data warehouses, it is stored in one centralized location. A higher number of raw data sources can create a spaghetti architecture problem that results in bottlenecks for your performance. With data centralization, this is solved effectively and instantly. Managing data lakes for your engineers also gets easier.
Snowflake can consolidate data pipelines with DBT and Fivetran. Thus, Snowflake supports effective data science utilization to make nearly real-time decisions. These sensitive data-driven decisions with machine learning can result in better bottom-line revenue.
Your business application or dashboard running slower can be a data engineering issue that needs an instant solution; otherwise, your business may lose revenue. A lack of scalability from data warehouses can make your business face unnecessary growth bottlenecks. With Snowflake, your application’s processing speed increases by up to three times.
Because of effective scaling and data management, your business intelligence can derive new insights quickly. Additionally, this scaling results in quicker iterations when developing and testing soft solutions.
Cost is a primary consideration for many businesses when selecting data warehouses. Snowflake brings efficient pricing solutions by separating computing and storage hardware. You can pay for these separately and only for the resources used. So, you will only be paying for the queries executed on the data platform, which results in lower costs.
Snowflake also allows you to switch to larger data warehouses whenever needed for a specific query. Scaling back to the original warehouse unit is seamless when you are done with that. Thus, the cost savings are massive when you compare Snowflake to traditional data warehouse solutions and on-premises hardware.
The Snowflake data warehouse leaves more time and money to be spent on different types of analysis. Through better analytics from the data lake, your data engineers can improve the front end of your application according to market trends. Senior management can focus on informed decision-making with meaningful insights from your business data.
The following are the leading DWaaS alternatives to Snowflake.
Amazon Redshift integrates with the AWS environment and your data lake, allowing developers to query data seamlessly in both structured and semi-structured forms. It provides enterprise-grade performance with the AWS reliable data infrastructure for the best user experience.
AWS Glue helps extract and transform data to load in your data warehouse if it is unavailable in the S3 data lake. It supports 1 billion GB of data, meaning unlimited storage. However, it is a more technical platform than Snowflake, meaning a management team will be necessary.
This part of the Google Cloud environment brings a serverless cloud data warehouse that is highly scalable and provides low-cost services. It instantly provides reliable data analytics.
BigQuery differentiates itself from its competitors based on its integration capabilities with machine learning tools. Its plug-and-play solutions provide up to 10GB of free cloud-based storage and a simple user experience.
This relational database on the IBM cloud provides top-notch data management and quality analytics solutions. It offers a significant improvement in performance over its competitors with integration with the in-memory columnar IBM database engine.
A special version of the Db2 warehouse is also available if your business requires an on-premises solution.
Azure Synapse from Microsoft is a solution that combines big data analytics and cloud data warehousing. Querying in this data platform is easier and more efficient as you can use serverless and provisioned resources. It also brings machine learning capabilities within your data framework with industry-leading privacy and security.
It is easier to use because of Microsoft’s integration with the SQL server. Azure enhances security by dynamic data masking, where sensitive data is masked from users without access. It also provides end-to-end data monitoring and some business tools from the Microsoft Suite.
Yellowbrick Data provides a data warehouse solution for the hybrid cloud, making it simpler for every business. It focuses on optimized analytics. Businesses using this platform can run any ad hoc query or concurrent queries to generate business reports.
Yellowbrick Data ensures the best performance through its 24/7 predictive monitoring for the availability and health of the warehouse infrastructure.
Any enterprise can benefit from several use cases of moving to Snowflake. Below are some specific use cases that may help your business.
Thus, Snowflake provides better performance, security, and data organization than your on-premises hardware, and it combines this with an amazing customer experience.
Snowflake is the best DWaaS solution for most businesses considering the features, efficiency, and speed it offers. Snowflake Inc is still rapidly growing, with a value of over $13 billion. Considering the competitor options in the market, the performance of Snowflake helps it stay competitive against tech industry giants like Google and Microsoft.
So, if you want to take your business growth to the next level, Snowflake might be the best solution for all your cloud data warehousing needs. Feel free to contact us to learn more about these services.
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