Snowflake vs Redshift: Cloud Data Warehouse Comparison
Cloud data warehouses have gained quite a lot of attention these days. In the light of rapidly growing volume, variety, velocity, and veracity of data, more and more businesses and organizations are in the process of migrating their legacy database to the Cloud platform in order to be data-smart at decision-making. When it comes to selecting the best cloud warehouses, Snowflake and Amazon’s Redshift have been constantly compared, analysed and recommended. In this blog, we will discuss the similarities and differences between these two market leaders to help you pick the right one.
Architecture and Performance
Columnar storage and Massively Parallel Processing (MPP) are both the key selling points for Snowflake and Redshift. But how would your data engineer differentiate between these two platforms?
Have a look at the following high-level conceptual diagrams from Snowflake and Redshift.
Snowflake’s unique 3-layer structure provides the benefits of simplicity and efficiency over Redshift’s. This architecture supports both structured and semi-structured data.
Once data is loaded into the warehouses, subsequent processes are, cleanse, model and visualize the data into actual insights. That is why the ability to connect the warehouses of your choice to the next step tools is critical.
If the organization is already deploying AWS (SageMaker, CloudWatch, or Database Migration Service (DMS)) then Redshift fits right into the Amazon ecosystem. However, Snowflake has expanded its connectivity over the years and can offer connectors to Power BI, Qlik, Apache Spark, etc. It can also be integrated with many of the AWS services.
Maintenance and Usage
Snowflake, a Datawarehouse-as-a-Service model, requires no maintenance from its customers. Users do not need to manually start or shut off a warehouse once it is set up. Snowflake uses AUTO_SUSPEND and AUTO_RESUME functions to efficiently utilize the resources. On the other side, Redshift, Users require paying attention to the cluster and available resources. This is because, Redshift requires manual workload management (WLM) to monitor the usage.
Based on the requirement, scaling up and down is possible with Snowflake. If the workload increases as well, it can handle queries seamlessly. With Redshift, data scientists must be more strategic and thoughtful before they run the query. This is because, Redshift does not scale up and down easily. In case of increased workloads, prior preparation must be performed so that the workload can be managed.
Security and Compliance
Snowflake takes security and compliance seriously and developed a series of reports. All five editions meet the SOC 2 Type II certification, Federated authentication and SSO for centralizing and streamlining User authentication, OAuth for authorizing account access without sharing or storing user login credentials. All editions have standard 1-day time travel for accessing or restoring modified, deleted data, and disaster recovery of modified or deleted data through Fail-safe.
For Snowflake’s business critical tier accounts, there are more features to ensure that data is handled with extra care. For instance, Business Critical accounts allow customer-managed encryption keys through Tri-Secret Secure, support PHI data in accordance with HIPAA, as well as PCI DSS.
Redshift takes a holistic approach to security and compliance. Amazon allows third-party auditors to assess the security and compliance, including SOC, PCI, FedRAMP and HIPAA. Redshift also allows Users to isolate the network within a virtual private cloud (VPC) and connect to the IT infrastructure through a virtual private network (VPN).
Snowflake offers tier-based, on-demand pricing. This means that customers start with choosing the tiered package that best suits their needs, and subsequently receive bills (compute and storage usages are separated).
Redshift’s pricing, on the other hand, is a bundled deal. Compute and storage are bundled together, and customers pay for an hourly rate, based on the number of nodes in the cluster. With Redshift, companies might find a better price over the long-term deal (1 or 3-year contract) whereas Snowflake provides the flexibility to switch to the next tier edition if customers require more storage or compute.
To sum up the comparison between Snowflake and Redshift, we recommend you consider the architecture, performance, connectivity, maintenance, usage, security and compliance, as well as the cost of both. Regardless of the business vertical, it is important that you migrate the legacy system in place, into a more powerful, durable and fast cloud environment.
Both Snowflake and Redshift are serious contenders if you want to migrate your data in into Cloud. Ameex is a solutions partner of Snowflake and has certified developers (in both Snowflake and AWS).
To know more on how Ameex has helped in providing data warehousing solution to many leading clients across industry verticals, write to us at [email protected].
What the Latest Google Algorithm Updates Mean to Your Site
Quick overview of what you’ll learn: How Google has adjusted its algorithm for page experience… Read More
P&C Insurance Predictive Analytics Decoded
Over the past few years, insurers attribute diminished operational problems and costs pertaining to… Read More
Trending Digital Disruptions in Insurance Industry
Over the past couple of years, prevalent use of IoT has become an integral part of Insurance… Read More
Promising Analytical Transformation in Insurance
The primary concern of Insurance experts for the past decade was often due to non-scalable data… Read More
Brand Performance Optimization in Pharma
The prevailing competitive age has compelled health care and pharma enterprises to rely more on… Read More
Innovations in Digital Clinical Trials
It is the distinct ‘specialty’ Products, instead of the high-volume, bestsellers that Pharma… Read More
Self-Serve Analytics – Actionable Data Visions
For easy understanding, businesses look at Self-serve Analytics, as Business Intelligence (BI) that… Read More
COVID-19 bearing on Banking and Financial Ecosystem
At the onset of COVID-19, the Banking and Financial Services industry has been staring at… Read More
Dealing with Unstructured Data in Snowflake
The storage of unstructured data is on the rise in modern data warehouses due to the increasing… Read More
Customer Centric Transformation in the Pharma Industry
Productivity lies in focussing on patient and customer needs!!! Pharma and Health Care sectors may… Read More
Databricks Integration with Snowflake
What is Databricks? Databricks is a unified cloud-based data platform that is powered by Apache… Read More
Covid-19 Impact Prediction in Tamilnadu with Mathematical Modeling
At the onslaught of the COVID-19 pandemic, the public in India and world over, are in the midst of… Read More
Absolute Business Impacts with Last Mile Analytics
Enterprises consider “last mile analytics” as the most business-critical data analytics process.… Read More
Seamless Data Synchronization from Transactional Database to Snowflake
Snowflake data replication, empowers enterprises to synchronize their data hosted across multiple… Read More
Unlocking the Business Value of AI in the Insurance Industry
Artificial Intelligence (AI) continues to disrupt industries on fundamental levels right from… Read More
Virtual Patient Engagement in the Pandemic
Digital communication channels were often considered by many to cause addictive, compulsive social… Read More
Technology Disruption in the Pharma industry
It is Digital Disruptions that Drive Outstanding Patient Outcomes!!! Digital technology is more of… Read More
Snowflake:A True Cloud Data Warehouse
Financial Services, Healthcare & Life Science, Retail & CPG, more and more industries are… Read More
Must-Dos for a Successful GCP Migration
Cloud migration comes with various benefits such as flexibility, scalability, etc. But it might… Read More
Innovation at the Intersection of Digital Health and Real-World Evidence
“Real-World Evidence (RWE) solutions market is expected to grow at a CAGR of 13.9% within 2026 to… Read More
Top Business Intelligence (BI) Tools-An Overview
In a data-driven world where a huge amount of data (around 2.5 quintillion bytes of data are… Read More
Impact of Covid-19 on Pharmaceutical Industry
Corona Virus (Covid-19) has almost impacted every industry, causing steep inroads into the global… Read More
Cloud Migration and its Benefits
Gone are the days when organizations used to spend a huge amount of money on setting up the… Read More
Comparitive Analysis of Some Leading BI Tools
Business Intelligence Business Intelligence (BI) Tools are primarily used by businesses to… Read More
Can CDPs Solve the Customer Data Puzzle?
Achieving a single view of the customer has been the holy grail for marketers. Why do so many… Read More