With data requirements increasing faster than the speed of light, the capacity to not only modify data in real-time but also expand with it is a requirement for the majority of enterprises worldwide. Oracle has been the database management system of choice for enterprises for decades. Nevertheless, the Big Data that is being created today demands a different management structure. Snowflake is designed to address commercial organizations' current data storage challenges.
In this post, we will evaluate Snowflake Vs Oracle on a variety of criteria to help you choose the best fit for your organization.
Table of Contents
- Introduction To Snowflake
- Introduction To Oracle
- Features of Snowflake
- Features of Oracle
- Snowflake vs Oracle: Comparison Table
- Conclusion
Introduction To Snowflake
Snowflake is a cloud-based data warehousing and analysis tool. With the proliferation of SAAS-based data warehouse products on the market today, Snowflake stands out for its unique design and approach. Snowflake is currently working on streamlining and managing the application. Unlike other data warehouse solutions, Snowflake is built on a new SQL engine geared for cloud computing. You can Learn Snowflake Course here
Snowflake's table topologies, which include Micro–Partitioning and Data–Clustering, are one of its unique selling advantages. Snowflake allows users to "time travel," that is, to track and study data changes throughout time and up to 90 days ago. Further, Snowflake possesses the following characteristics:
- Cloning - The clone ability rapidly replicates any snowflake component.
- Undrop - Any item that's been deleted can be recovered (databases, schemas, tables, etc.).
- Failsafe - In the event of a catastrophic event, such as a hardware or disk failure, the failsafe mode is enabled. Programmers and developers have up to seven days to recover data following a disaster.
- Analytics Solution - In addition to data warehousing, the Snowflake architecture includes data management and analytics capabilities.
Introduction To Oracle
As you are probably aware, Oracle is a more conventional database management system that began with relational RDBMS technology and evolved to incorporate object-relational and multi-model datasets. It is one of the primary alternatives for organizations looking for cost-effective application and data management solutions. It supports SQL as a query language for database interaction.
Currently, its database is offered in five distinct versions, each with a different set of features.
- Standard Edition One: This edition is designed for single-server or elongated commercial applications that require a small number of features.
- Standard Edition: This edition includes all of the features included in Standard Edition One. Also, it supports bigger machines and Oracle Real Application clustering.
- Enterprise Edition: This edition includes an extra layer of security, efficiency, adaptability, and durability characteristics that are necessary for mission-critical applications that entail online transaction processing.
- Express Edition: This is a free entry-level edition for downloading, installing, managing, developing, and deploying.
- Personal Edition: This edition includes all of the functionality included in Enterprise Edition, with the exception of Oracle Real Application Clustering.
Features of Snowflake
Effective Data Sharing
Snowflake's technology enables people to trade data without encountering any friction. It enables organizations to offer to all high-volume clients in a straightforward manner. This unique technology enables an administrator to establish and manage a customer's Snowflake program. Snowflake's unique data-sharing features enable rapid cooperation among business partners.
Performance
Snowflake's cloud-based design overcomes a number of the limitations associated with traditional data warehouses, resulting in improved overall performance. Snowflake allows near-infinite scalability by isolating concurrent processes on given resources.
This means that each user, workgroup, application, or automated task may run independently of the rest of the network without jeopardizing the system's capacity.
Access & Security
Snowflake is a cloud-based multi-cluster solution accessible on AWS or Azure. It is a well-known cloud-based computer system that is utilized by provincial and local governments, as well as banking, healthcare, and security organizations. Snowflake has controls for SOC 1 and Type II compliance, as well as the ability to add new cryptographic primitives.
Accessibility
When employing a standard data warehouse, delays or outages are possible. Snowflake's novel multicluster structure allays these worries. Rather than having to wait for other computer transactions to conclude, system administrators and analysts may immediately obtain all of the data they want.
Features of Oracle
Performance and Scalability
Oracle databases are expandable according to their usage thanks to features such as Real Application Aggregation and Portability. It is necessary to regulate data integrity and concurrency in a multiuser database, as Oracle contemplates.
Availability
Applications that run in real-time require a high level of data availability. High-performance computing infrastructures are configured to ensure data availability at all times. Data is accessible during scheduled or unscheduled downtimes and breakdowns.
Backup and Redundancy
Its structure has comprehensive data recovery capabilities that enable it to recover data from virtually any type of failure. In the event of a failure, the database must be restored quickly to maintain high availability. While the impacted portions of data are being restored, the unaffected portions are available.
Security
Data security is always the first priority. Oracle has tools for restricting access to and use of data. By authorizing and changing user activities, you can prevent illegal access and provide users with distinct access.
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Snowflake vs Oracle: Comparison Table
|
Features |
Oracle |
Snowflake |
|
Installation |
Installation and configuration of hardware, operating system, and Oracle software are required. |
None. |
|
Upgrades and Patches |
Patches are published on a regular schedule and must be installed manually on each database by the customer. Upgrades may require downtime and reorganization of the database. |
Instantly and transparently applied. |
|
Management Overhead |
Oracle is a sophisticated database platform that normally requires the services of one or more trained database administrators. |
Almost none. Incredibly simple, there are no tuning knobs. |
|
Partitions |
Partitions and sub-partitions are defined manually. |
Each column in each table is automatically partitioned. |
|
Indexes |
There are 14 distinct index types, including B-Tree, Bitmap, Functional, Reverse key, compressed, and descending indexes, as well as globally and locally partitioned indexes. |
Snowflake automatically prunes each column's partitions. There are no indexes to create, manage, or obstruct load performance. |
|
Statistics |
While automatic data collection is possible, it is not advised for big data quantities. If not properly documented, this might cause significant query performance issues. |
Captured automatically. There is nothing to handle. |
|
Procedural Code |
Embedded procedures and functions in PL/SQL. |
Cached procedures and functions in JavaScript. |
|
Materialized Views |
Yes, with scheduled or ad hoc refreshment. |
Yes, with complete transparency and transactional consistency. |
Conclusion
To summarize, while the rest of the world looked to Hadoop to tackle the "Big Data" difficulties, Snowflake quietly reinvented what is feasible. The Snowflake system can be implemented in minutes without much technical knowledge. Unlike Oracle, it is remarkably simple to administer, with no statistics to collect, no indexes to maintain, and transparent sharding, decompression, and encryption.
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