Why Enterprises are Upgrading to Databricks from Snowflake

Reading time: 6 mins

Key Takeaways

⇨ Databricks offers a unified platform built on popular open-source frameworks, providing comprehensive data processing, machine learning capabilities, and a collaborative environment for data scientists, engineers, and analysts.

⇨ Snowflake is a cloud-based data warehousing platform known for its scalable architecture that separates storage and computing, allowing independent resource scaling and high-performance data analytics.

⇨ Key Difference: While Databricks excels in real-time collaboration and advanced data processing, Snowflake focuses on scalable data warehousing with unique architectural features, catering to different aspects of data management needs.

Databricks and Snowflake are distinct cloud-based solutions catering to different data-driven needs.

Databricks and Snowflake Explained –

Databricks and Snowflake are distinct cloud-based solutions catering to different data-driven needs for enterprises. Here’s a quick overview of their features:

Databricks

Unified platform built on top of several popular and widely used open-sourced frameworks like Apache Spark, Delta, and MLflow. They pioneered the Lake house concept, allowing organisations to streamline all workloads in one environment.
Provides a collaborative environment for data scientists, engineers, and business analysts to collaborate on big data and AI projects.
Offers powerful Data Processing, BI, Streaming and Machine Learning capabilities.
Key Features: Collaborative Notebooks, APIs, Cluster Management, SQL environment, end-to-end ML environment, easy integration with Azure, AWS, and GCP.

Snowflake

Cloud-based data warehousing platform.
Provides data storage, processing, and analytics capabilities.
Utilizes a proprietary architecture that separates storage and computing, allowing for independent scaling of resources based on requirements.
Snowflake does not provide any DSML platform and has to integrate with external solutions like DataRobot and DataIku.
Key Features: Automatic scaling, Zero-copy cloning, Unique multi-cluster shared data architecture.

In summary, while Databricks excels in collaborative analytics for all data practitioners , Snowflake focuses on scalable data warehousing with unique architectural features. Understanding the difference between Databricks and Snowflake can help businesses choose the solution for their specific data needs.

Databricks and Snowflake: Strengths and Weaknesses

Real-Time Collaboration: Unlock the full potential of your data engineering team with Databricks migration. Collaborate seamlessly with shared notebooks, enabling real-time code editing and execution. Say goodbye to isolated work with Snowflake’s limited collaboration features. Instead, choose Databricks for a platform that empowers your team’s productivity through collaboration. Migrate to Databricks and experience enhanced collaboration capabilities for your data engineering projects.

Unmatched Data Processing Power: Unlocking the full potential of data engineering requires unparalleled processing power. Databricks, powered by the most popular open-source frameworks, is like a master chef, swiftly processing diverse data types and real-time analytics with lightning-fast efficiency. In contrast, Snowflake’s SQL-based approach is slower and less flexible. So, when it comes to data processing, Databricks is the gourmet choice, empowering data engineering teams to deliver results with unmatched speed and agility.

Databricks’ Seamless Lakehouse Platform: Databricks is built on top of the best open-source and widely popular frameworks like Apache Spark, Delta Lake, and MLflow and provides all data warehousing and data lake capabilities. This streamlines workflows and works efficiently, like a race car pit crew. Snowflake’s integrations are more limited, potentially requiring manual workarounds and integration with external tools for data science and ML. Choose Databricks for seamless connectivity and unleash your data’s full potential. Say goodbye to roadblocks with Databricks and simplify the Databricks migration process.

Unlock Your Data Engineering Potential: Stay at the forefront of the ever-changing field of data engineering with Databricks’ cutting-edge training resources. Our interactive courses and certifications empower your team to become accurate data Jedi knights, wielding the power of big data with ease. While Snowflake’s training offerings are valuable, they may be more limited in comparison. Use the opportunity to elevate your team’s skills with Databricks’ comprehensive training. Embrace the power of training and unlock your team’s full potential to excel in the exciting world of data engineering.

How Do Databricks and Snowflake Differ?

While Databricks and Snowflake share some similarities, the two tools have some key differences.

Databricks offers more comprehensive data processing and machine learning capabilities than Snowflake. With Databricks, you can easily build, train, and deploy machine learning models, complex data transformations, and manipulations.
Databricks provides a collaborative environment that allows teams to work together seamlessly. With features like version control, collaborative notebooks, and built-in communication tools, Databricks makes it easy for teams to collaborate on real-time data projects.
Snowflake focuses primarily on data storage and analytics, whereas Databricks offers a more holistic approach to data management. With Databricks, you can not only store and analyse data but also process, transform, and visualise it, all within a single platform.
Databricks is built on Apache Spark, an open-source distributed computing framework. As a result, Databricks is more flexible and customisable than Snowflake and can be easily integrated with other tools and platforms.

Why Migrate to Databricks from Snowflake?

Here are four exclusive reasons why Databricks is the ideal platform for your business

1. Advanced Data Processing and Machine Learning Capabilities: Databricks offers advanced data processing and machine learning capabilities that enable businesses to perform complex data analysis and gain deeper insights into their data. With Databricks, you can easily build, train, and deploy machine learning models and perform complex data transformations and manipulations. Additionally, Databricks provides seamless migration support, allowing businesses to smoothly transition their data and workflows to the Databricks platform, making Databricks migration hassle-free.

We compared the performance of Databricks and Snowflake using a TPC-DS benchmarking study with a 100GB dataset. Results showed that Databricks outperformed Snowflake with an average query time of 23.84 seconds and a throughput score of 1029 queries per hour, while Snowflake had an average query time of 29.73 seconds and a throughput score of 747 queries per hour.

2. Collaborative Environment: Databricks provides a collaborative environment that allows teams to work together seamlessly. With features like version control, collaborative notebooks, and built-in communication tools, Databricks makes it easy for teams to collaborate on real-time data projects. This leads to faster project completion and better outcomes.

3. Seamless Integration: Databricks integrate seamlessly with other popular data tools like Tableau and Power BI. This makes it easier for businesses to manage their data workflows and achieve more in less time. As a result, companies can optimise their operations and gain a competitive edge by using Databricks as the foundation for their data management processes.

4. Enterprise-Level Support: Databricks provides enterprise-level support to its customers, including access to dedicated account managers and 24/7 technical support. Your business can rely on Databricks to provide the support and resources needed to ensure a smooth migration from Snowflake and ongoing success with the platform.

Celebal Technologies

Your Databricks Migration Partner

Leverage our expertise in data lakehouse solutions, large-scale migrations, and offshore teams. Experience the Celebal advantage for seamless data analytics.

Enterprise Data Lakehouse and Industry Data Model: Equip your Enterprise Data Warehouse to tackle the growing demands of big data. Build a central data repository that unifies heterogeneous sources, maintains data quality, and gives you access to the information you need in one interface – Data Lake house.

Large-Scale Migrations: Increasingly, organisations are moving their proprietary data management frameworks to open cloud & spark-based frameworks like Databricks. Celebal Tech, with its migration accelerator tools, has state-of-the-art teams to migrate these large-scale workloads.

We conducted a cost analysis study using a typical data warehousing workload to compare the cost of using Databricks and Snowflake. The study considered the cost of one month of storage, computing, and data transfer. Our findings revealed that Databricks was more cost-effective than Snowflake for the analysed workload.

Migration Assessment: Define, design, and develop the capabilities to handle data of any size, shape, and speed during the migration process. Celebal Tech’s assessment processes assist in determining the target BOM for Databricks and estimating the effort required. When combined with Effective DevOps practices, the Assessment ensures the feasibility of Databricks migrations.

Scalable Offshore Team: Work and Scale with one of the largest teams in Databricks coupled with Deep Expertise in Industries Like FSI, Manufacturing and Process. With more than 600 certified Databricks experienced professionals, Celebal Tech is the most promising organisation to scale with.

In conclusion, migrate to Databricks from Snowflake for superior data processing, machine learning capabilities, and access to a fully collaborative environment. With flexibility and seamless integration, Databricks is the intelligent choice for businesses of all sizes. Unlock the true potential of your data and stay ahead of the competition. Join the Databricks rebellion and elevate your data analytics game. With superior capabilities in data migration, businesses are flocking to Databricks, experiencing a 50% increase in efficiency and a 40% reduction in data errors compared to Snowflake.

It’s time to join the rebellion and embrace the power of Databricks with Celebal Technologies!

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