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Cloud Data Warehouses - Dec 08 2020

Migrating Data from Teradata to Snowflake?

Considering a migration from Teradata to Snowflake? An increasing number of enterprises are actively migrating to Snowflake. Teradata has been a popular on-premise data warehouse solution for companies that manage and analyze huge volumes of data, but an increasing number of enterprises are actively migrating to Snowflake. Why? Because Snowflake offers a highly advanced set of data management capabilities.  Here’s a guide.

What is Snowflake?

Snowflake is a highly advanced cloud data warehousing platform. The platform is capable of supporting the data needs of enterprises while also enabling easy and secure storing, accessing, and use of data. 

Snowflake is an analytic data warehouse provided as Software-as-a-Service (SaaS). Snowflake provides a data warehouse that is faster, easier to use, and far more flexible than traditional data warehouse offerings.” (Source

In addition to featuring extensive capabilities and tools for providing support to data lakes, data engineering and data science, Snowflake delivers secure and robust sharing of data. Furthermore, the Snowflake platform has been designed to support data sharing between different systems that did not talk to each other before. A major benefit of Snowflake is that it offers support for a wide array of data types (both structured and unstructured) and BI capabilities when compared to vintage data warehouses with limited capacity and capabilities. 

Snowflake integrates with other major cloud providers, namely – Google Cloud Provider (GCP), Microsoft Azure, and Amazon Web Services (AWS). 

What is Teradata?

Designed as a Relational Database Management system (RDBMS), Teradata is a popular data warehouse platform that has been a platform choice for enterprises for decades. Because Teradata is capable of handling large volumes of data it is ideal for building large data warehousing applications. The platform boasts of high scalability and is based on the Massively Parallel Processing (MPP) architecture. 

Teradata easily and evenly shares workload across the system – dividing work equally to its processes. In turn, each of the processes then run parallel to deliver results in the shortest time possible. The Teradata database system uses symmetric multiprocessing technology along with communication networking to effectively connect symmetric multiprocessing systems which help in creating extensive parallel processing systems. Teradata connects with most of the major systems including Mainframes, IBM DB2, and Oracle DB. With Teradata, the import of loads is highly optimized and quick.  

As the cloud space booms, Teradata went ahead and announced its cloud offering – Teradata Vantage. Designed as a cloud data analytics platform, Vantage is Teradata’s answer to advanced cloud data warehouse platforms such as Snowflake which like Snowflake is integrated with Google Cloud Platform (GCP), in addition to AWS and Azure coverage. 

Why migrate from Teradata to Snowflake?

Teradata is highly-suitable for building large-scale data warehousing applications which the platform achieves via parallelism. However, Teradata is a solid fit only for enterprises with a massive amount of data warehousing or analysis requirements. Businesses that don’t have this requirement might simply end up paying a huge amount of money for under-utilized data capabilities which can be not something to write home about if taxes are raised – this especially when compared to other RDBMS systems currently available. 

In contrast, Snowflake offers a pay-as-you-go price model which means businesses only pay for their data storage and used computing time which makes it a highly affordable data warehouse option for enterprise clients. 

  • Snowflake allows easy and seamless scaling to thousands of users.
  • The platform supports automated concurrency scaling instantly and it does so without any disruptions. 
  • You pay $23/TB/month compressed for any amount of storage (US pricing with annual contract).
  • Designed with a pay-as-you-go pricing model – automatically suspend when not in use. 
  • Snowflake’s cloud-built architecture is designed to support multiple concurrent workloads. 
  • Snowflake supports enterprise-wide sharing and collaboration in real-time and with external work partners – without the need to shift data from the data warehouse. 
  • No third-party application required when combining and aligning data from multiple Snowflake data accounts. 
  • Built-in SQL functions enable easy and secure access to all business data regardless of your location. 

Why stay with Teradata?

The biggest advantage that Teradata offers is speed. The platform is based on Massively Parallel Processing (MPP) architecture which enables it to deliver a large volume of data quickly. 

If you are a business that has extensive data warehousing or analysis requirements, then Teradata might be a salient choice. Cost is another factor you might want to consider here – if your data storage and compute time usage are fully utilized, then again you should stay with Teradata for all your data warehousing needs. 

What are the risks of migrating from Teradata to Snowflake?

One of the biggest challenges of migrating your data from Teradata to Snowflake, or any other RDBMS system, is that the entire transition process can be a daunting task. Unless you have a highly capable Snowflake expert, this transition will prove to be difficult for the simple reason that the transition process involves multiple steps.

How much does Snowflake cost compared to Teradata?

One of the top reasons why businesses of all sizes are migrating to Snowflake is because of its highly cost-effective pay-as-you-go pricing structure. So, you only pay for data storage and compute usage time. To know more about the Snowflake pricing structure, you can also visit Snowflake’s pricing structure page here.

To compete with advanced cloud solutions such as Snowflake, Teradata has now introduced two flexible cloud pricing models:

  • Blended – ideal for high usage, delivers billing predictability and offers the lowest cost at scale.
  • Consumption – an affordable, pay-as-you-go model ideal for ad hoc queries and workloads with typical or unknown usage.  

To know more about what Teradata will cost you, you can visit their pricing structure page here

Do I need a Snowflake consultant to migrate data from Teradata to Snowflake?

As mentioned above, migrating your data from Teradata to Snowflake can be a challenging task – unless you have the funds to hire a full-time Snowflake data engineer. 

As a more cost-effective alternative, you can consult with a Snowflake specialist to help with migrating your data from Teradata to Snowflake. 

If you are considering Snowflake for your business and need an expert consultant, then we can help. We are more than happy to answer any questions you may have and provide a free consultation at your convenience!

Have questions? Email us at hello@nextphase.ai

 

About NextPhase.ai

NextPhase.ai is a data cloud services provider specializing in Snowflake, cloud data management and analytics technologies. We accelerate enterprise digital transformation initiatives by leveraging our innovative cloud data management technology, “NextPhase.ai DATAFLO” to optimize and rationalize disparate enterprise data into relevant insights. “DATAFLO” is designed to automate the lifecycle of data management transformation using AI and ML along with expeditious on-ramps to the Snowflake data cloud infrastructure. NextPhase.ai provides a range of technology consulting services for the Financial Services, Biotech and Technology industry sectors combining our platform-based services, seasoned talent, and industry proven methodology so our customers can harness more from their data. We are a Silicon Valley based company with global presence having delivered high value service engagements for numerous Global 2000 enterprises.

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