Why Enterprises are upgrading to

Databricks from Snowflake

Celebal Technologies maximizes enterprise through advanced analytics using Databricks

Attention, data warriors!

Are you tired of battling the limitations of Snowflake in your quest for efficient data management?

In this blog post, we'll explore why Databricks migration holds immense importance in today's ever-evolving data landscape. So, get ready for a data-driven revolution as we unveil why businesses choose Databricks as their preferred tool.

Databricks and Snowflake Explained -

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

A Unified platform built on top of several widely used open-sourced frameworks like Apache Spark, Delta, and MLflow. They pioneered the Data Lakehouse concept, allowing organizations to streamline all workloads in one environment. This provides a collaborative environment for data scientists, engineers, and business analysts to collaborate on big data and AI projects. It offers powerful Data Processing, BI, Streaming and Machine Learning capabilities.

A Cloud-based data warehousing platform that provides Data Storage, Processing and Analytics capabilities. It utilizes a proprietary architecture that separates storage and computing, allowing for independent scaling of resources based on requirements. Since Snowflake does not provide any DSML platform, it has to integrate with external solutions like DataRobot and DataIku.

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.

How Do Databricks and Snowflake Differ?

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

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.

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.

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.

Celebal Technologies X Databricks

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 Lakehouse.

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.

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.

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.

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.