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Teradata Database VS Snowflake

Compare Teradata Database VS Snowflake and see what are their differences

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Teradata Database logo Teradata Database

Teradata Database is a high performance analytical database.

Snowflake logo Snowflake

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
  • Teradata Database Landing page
    Landing page //
    2023-09-20
  • Snowflake Homepage
    Homepage //
    2024-07-19

Teradata Database features and specs

  • Scalability
    Teradata Database is known for its ability to handle large volumes of data and efficiently scale out as the volume of data grows. It can accommodate growth in a business's data warehouse environment without significant performance issues.
  • Performance
    Using massively parallel processing (MPP) architecture, Teradata provides high performance, allowing for quick data retrieval and efficient execution of complex queries, which is crucial for real-time analytics and decision-making.
  • Advanced Analytics
    Provides a variety of tools and functions for advanced analytics, including support for machine learning and AI integrations, enabling users to perform sophisticated data analysis directly within the database.
  • Integration
    Seamlessly integrates with a wide range of data sources and tools, facilitating the integration of diverse data types and enabling comprehensive analytics, thereby supporting business intelligence operations across multiple platforms.
  • Security
    Offers robust security measures including encryption, authentication, and authorization features, ensuring that sensitive data is well-protected within the database.

Possible disadvantages of Teradata Database

  • Cost
    Teradata is often considered expensive relative to other database solutions, particularly for smaller businesses or those with limited budgets, potentially limiting access to its advanced features.
  • Complexity
    The setup and management of Teradata can be complex, requiring specialized knowledge and expertise, which might necessitate additional training or hiring of skilled personnel.
  • Proprietary Nature
    Being a proprietary system, Teradata may lead to vendor lock-in and could limit flexibility in terms of integrating new, open-source technologies or platforms that are not supported by Teradata.
  • Resource Intensive
    Typically requires significant computing resources for optimal performance, which may demand a higher infrastructure investment compared to lighter-weight alternatives.
  • Limited Cloud Options
    Although Teradata offers cloud solutions, they may not be as mature or fully featured as some native cloud database solutions, which could be a limitation for businesses prioritizing a cloud-first strategy.

Snowflake features and specs

  • Scalability
    Snowflake offers virtually unlimited scalability. It separates compute and storage, so both can scale independently according to the needs of the workload.
  • Performance
    Snowflake's architecture is optimized for performance, offering automatic clustering and parallel processing which enable faster query execution.
  • Ease of Use
    The platform provides a user-friendly interface and automates many maintenance tasks, such as indexing and partitioning, making it easier for both data engineers and analysts to use.
  • Data Sharing
    Snowflake enables seamless data sharing among different accounts without the need to duplicate data, improving collaboration and data management.
  • Security
    Snowflake includes comprehensive security features such as end-to-end encryption, role-based access control, and VPC/VPN network policies.
  • Multi-Cloud Support
    Snowflake supports multiple cloud providers, including AWS, Azure, and Google Cloud, giving organizations flexibility in choosing their infrastructure.

Possible disadvantages of Snowflake

  • Cost
    While powerful, Snowflake can become expensive, especially if not managed properly, due to its pay-as-you-go pricing model.
  • Vendor Lock-In
    Once an organization is deeply integrated with Snowflake, switching to another solution can be complex and costly, contributing to vendor lock-in.
  • Learning Curve
    Though easier than many traditional databases, there is still a learning curve associated with mastering Snowflakeโ€™s unique architecture and features.
  • Third-Party Ecosystem
    While Snowflake integrates well with many third-party tools, it may not support all the tools and services you are currently using, requiring additional effort for integration.
  • Network Performance
    Snowflake's performance can be impacted by network latency, especially if large datasets are being transferred over the internet between Snowflake and on-premises systems.

Analysis of Snowflake

Overall verdict

  • Yes, Snowflake is considered a good solution for businesses looking for a modern data warehousing solution that is easy to use, requires minimal infrastructure management, and provides strong performance for big data analytics.

Why this product is good

  • Snowflake is a cloud-based data warehousing platform known for its scalability, flexibility, and speed. It offers a unique architecture that separates storage and computing, allowing for on-demand scaling and efficient data management. Its support for structured and semi-structured data, along with a wide range of integrations and robust security features, makes it a popular choice for many organizations.

Recommended for

  • Organizations with large and diverse datasets that require scalable storage and computing solutions.
  • Data-driven companies looking for a platform that supports real-time analytics and machine learning workloads.
  • Businesses seeking a cost-effective solution with pay-as-you-go pricing and minimal infrastructure overhead.
  • Enterprises needing to integrate data from various sources, including cloud services, IoT devices, and relational databases.

Teradata Database videos

Deploying Teradata Database Developer Tier on Azure

Snowflake videos

No Snowflake videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Teradata Database and Snowflake)
Databases
67 67%
33% 33
Big Data
0 0%
100% 100
Relational Databases
100 100%
0% 0
Data Warehousing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Teradata Database and Snowflake

Teradata Database Reviews

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Snowflake Reviews

Top 6 Cloud Data Warehouses in 2023
Snowflake accommodates data analysts of all levels since it does not use Python or R programming language. It is also well known for its secure and compressed storage for semi-structured data. Besides this, it allows you to spin multiple virtual warehouses based on your needs while parallelizing and isolating individual queries boosting their performance. You can interact...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Snowflake is one of the most popular data warehousing solutions on the market and delivers an incredible experience across multiple public clouds. By using Snowflake, companies can pull data from various business intelligence tools to do reporting and analytics without any database administration, thus avoiding high overhead costs. Unlike other data warehousing services,...
Top 5 BigQuery Alternatives: A Challenge of Complexity
Plus, Snowflake doesnโ€™t include data integrations, so teams will have to bolt on an ETL tool to pipe their data into the warehouse. Those third-party pipelines add extra cost and overhead in the form of setup and maintenance that some teams may not want to absorb.
Source: blog.panoply.io
Top Big Data Tools For 2021
This platform can be used for data warehousing, data science, data engineering, sharing, and application development. It enables you to easily secure your data and execute various analytic workloads. Snowflake also ensures a seamless experience when working with multiple public clouds.

Social recommendations and mentions

Based on our record, Snowflake seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Teradata Database mentions (0)

We have not tracked any mentions of Teradata Database yet. Tracking of Teradata Database recommendations started around Mar 2021.

Snowflake mentions (4)

  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Snowflake, a data warehousing company founded by ex-Oracle and ex-VectorWise experts, responded with a blog post that critically reviewed Databricks' findings, reported different results for the same benchmark, and claimed comparable price/performance to Databricks. - Source: dev.to / over 3 years ago
  • Personal Support at Internet Scale
    Snowflake: Snowflake is fast, and works well as a product analytics database. - Source: dev.to / almost 4 years ago
  • Less than 1TB of data what tools should I get better at?
    If you just go to snowflake.com you can sign up for a demo account for free for a month and I'm fairly certain you can get more than one of these accounts (I would recycle emails doing it all the time.) Once you have an account there's lots of docs and videos out there either using the Database via their UI or via python using their connector. They also have a pyspark connector but you might want to just learn... Source: about 4 years ago
  • *BOMATO*
    Early stage funding & VCs clearly demarcate between tech companies and tech enabled companies. But, once the PE comes into the picture at the scale of BlackStone, the border between doordash.com and snowflake.com starts to blur. The motivation is to make some bucks by going to IPO and they know how to get it done. Source: about 4 years ago

What are some alternatives?

When comparing Teradata Database and Snowflake, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

MySQL - The world's most popular open source database

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.