Snowflake vs Hadoop vs Redshift – Which do You Choose?Mohnish Jain
While making a choice between the better and the best is pretty obvious, selecting one amidst all leading options can prove a bit challenging. Choosing between Snowflake, Hadoop and Redshift is one such situation, where making a choice is quite difficult for business owners. Let’s simplify things a bit by comparing Snowflake vs Hadoop vs Redshift through this blog.
Snowflake vs Hadoop vs Redshifts – Comparison
Let’s compare Snowflake, Hadoop and Redshift across five essential parameters, precisely those decisive and crucial enough for business owners to derive value from the money they invest in either of these.
- Performance: Snowflake offers virtual warehouses that provide an isolated workload and capacity. It enables you to separate or categorize workloads and process queries, based on your needs.
- Database features: With Snowflake, sharing data between different accounts is pretty straightforward. You can share data with customers, without requiring them to copy the data. Additionally, Snowflake supports semi-structured data types such as Variant, Object and Array.
- Cost: The cost of Snowflake significantly depends on your monthly usage pattern, as every bill is generated at hour granularity for every virtual data warehouse. Additionally, the data storage costs will remain separate from computational costs.
- Maintenance: Snowflake maintenance is easier compared to Hadoop and Redshift. It is automated.
- Security: Snowflake is secure. It has data encrypted in motion, over the internet or direct links and the remaining on disks. It supports two-factor and federation authentication with a single sign-on, role-based authorization. Besides, it is SOC 2 Type 2 certified on both AWS and Azure.
- Performance: Hadoop was designed to continuously gather various types of data from multiple sources and store it across a distributed environment. Hadoop is good at it. It uses MapReduce for batch processing and Apache Spark for steam processing.
- Database Features: Hadoop is a competitive choice when it comes to factors such as high data availability, fault tolerance, cost-effectiveness, quicker data processing, flexibility, data reliability and ease of use. It supports structuring unstructured data and then exporting the semi-structured or structured data into traditional databases for analysis.
- Cost: Hadoop is open-source and hence thought to be less costly. However, using Hadoop attracts deployment, configuration and maintenance costs. Besides, TCO associated with hardware is another element to be factored in.
- Maintenance: With Hadoop, maintenance could be relatively challenging.
- Security: Hadoop provides security in multiple ways. It offers service-level authorization that ensures clients have the right consent for job submissions. Additionally, Hadoop supports third-party vendors like LDAP for authentication and supports encryption.
- Performance: Redshift forms a natural choice for companies already working with AWS. But it has performance challenges. You need to fully understand every concept, every key, etc. before using Redshift. Besides, Redshift is not suitable for a live app database. Redshift integrates seamlessly with third-party tools, platforms and databases, though.
- Database Features: Currently, Redshift does not offer data sharing support. Besides, it does not support semi-structured data types, which Snowflake readily does.
- Cost: Redshift is less expensive concerning on-demand pricing. The solution provides one-year or three-year Reserved Instance (RI) pricing, which translates to additional savings, otherwise missed out on a standard on-demand pricing model. Redshift calculates costs on a per-hour-per-node basis.
- Maintenance: Maintenance with Redshift is a challenge, as it does not seamlessly support several functionalities such as Vacuuming and Analyzing. Besides, Redshift Resize operations can also prove a challenge as the costs for it escalate quickly and lead to hours of downtime.
- Security: Redshift’s features include Cluster encryption, access management, load data encryption, data in transit, sign-in credentials and SSL connections. It also allows to have granulated access, which provides users or groups to access specific data in tables.
Snowflake, Redshift and Hadoop – Which One to Choose?
The choice usually depends on your requirement. For instance, if your company is already functioning on AWS, then Redshift can form an organic choice for your company. However, if not, Snowflake can prove an excellent choice if you are looking for excellent data features, easier maintenance, and high performance.
End-to-End Snowflake Support with Datafortune
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