Snowflake vs Redshift

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Data - the currency of the 21st century

Data is quite aptly called the currency of the future. It is something that is driving everything in the world and is one of the most important indispensable commodities. An explosion of data has enabled companies to deal with customers effectively.

Redshift vs Snowflake

Data is quite aptly called the currency of the future. It is something that is driving everything in the world and is one of the most important indispensable commodities. An explosion of data has enabled companies to deal with customers effectively.

What is Redshift?

Redshift can be described as a fully-managed cloud-ready petabyte-scale data warehouse service that can be seamlessly integrated with business intelligence tools. Extraction, transformation, and load has to be done to make business smarter. To launch a cloud data warehouse, a set of nodes have to be launched called the Red Shift cluster. Regardless of the size of data, one can take advantage of fast query performance.

What is Snowflake?

Snowflake is considered powerful relational database management system. It’s an analytical data warehouse for both structured and semi-structured data that follows the SaaS model. It is fast, user-friendly and offers more flexibility than a traditional warehouse. It uses an SQL database engine with a unique architecture specially designed for clouds.

Comparison between Snowflake and Redshift

  • Highlights
  • Core Competencies
  • Integration
  • Sharing
Attributes Snowflake Redshift
Scaling
Auto concurrency provides instant scaling without redistribution.
Not as instant as snowflakes. It can take a few minutes to some hours
Maintenence
Completely automated. No maintenance is required.
Manual maintenance i.e Vacuuming by an administrator.
Performance
High performance
Average in performance
Data Replication
Uses COPY command
Uses COPY INTO command
Security
Uses Always-on-encryption
Uses end-to-end encryption
Pricing
The policy of pay as you use is attractive for users.
Attractive pricing at certain level usage
Automation
Fully automated
Manual effort
Packages
Tier based packages
More unified offer package
Engine
Unique architecture design to scale on the web
Machine learning engine
Integration
Redshift integrates with a variety of AWS services such as Kinesis Data Firehose, SageMaker, EMR, Glue, DynamoDB, Athena, Database Migration Service (DMS), Schema Conversion Tools (SCT), CloudWatch, etc.
Snowflake does not have equivalent integrations which makes it more difficult for customers to use tools like Kinesis, Glue, Athena, etc. when trying to integrate their data warehouse with their data lake architecture. Snowflake does, however, offer a few other interesting integration points including IBM Cognos, Informatica, Power BI, Qlik, Apache Spark, Tableau and a few others.
Core Competencies Snowflake Redshift
Data Integrations
ETL/ELT concept in data integration.
Advanced ETL tool helps you effortlessly by collecting data.
Data Compression
Gzip compression efficiency.
Columnar compression
Data Quality
With tools like Talend provide data management with real time speed.
Python data quality for amazon shift.
Built-In Data Analytics
A single platform that creates cloud.
Know is a BI tool used for Amazon Redshift.
In-Database Machine Learning
SQL dialect like
‘Intelligent Miner’ and ‘Oracle’ is being used.
Create data source wizard is used in Amazon Machine Learning to create data source object.
Data Lake Analytics
Global snowflake turns data lake into data ocean.
Uses amazon S3. It is cost efficient and stores unlimited data.
Integration Snowflake Redshift
AI/ ML Integration
Driveless A1
Automated machine learning inflows.
Create data source wizard in (Amazon ML).
BI Tool Integration
Built -for -cloud warehouse deliver efficient BI solution.
Know is a BI tool used in Redshift.
Data lake Integration
It is a modern data lake.
Integrated with data lake to offer 3x performance.
Sharing Snowflake Redshift
Sharing
Enables sharing through shares between read-only.
Share data in Apache Parquet Format.
Data Governance
Data governance experts like Talend provides perfect data governace.
Data Lienage using Token.
Data Security
Role Based Access Control (RBAC) authorization.
Network isolation to control access to data warehouse cluster. SSL and AES 256 encryption end – to – end encryption.
Data Storage
Uses new SQL database.
Columnar storage
Backup & recovery
Does with virtual warehouse and querying from clone.
Automatically backed up.

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What to choose: Snowflake or Redshift

There is an abundance of similarities between the two solutions. There are additional unique capabilities and other functionalities that come with each platform. For running the data analytics completely on the cloud, they provide good options. However, if asked to compare between the two of them, Snowflake does hold an upper hand in many attributes it has and the services it makes available for the users.

Snowflake offers cloud-based data storage and analytics in the form of Snowflake Elastic Data Warehouse. It helps users to analyze and store data using cloud-based hardware and software. It has network isolating options and boasts Always-on-Encryption. It supports both structured and semi-structured data. Concurrency scaling has been an inseparable part of this software

Why is Lyftron the best choice?

Lyftron delivers a data management platform that combines a modern data pipeline with agility for rapid data preparation. Lyftron connectors automatically convert any source data into the normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. It eliminates traditional ETL/ELT bottlenecks with automatic data pipelines and makes data instantly accessible to BI users with the modern cloud compute of Spark & Snowflake.

It helps migrate data from any source easily to cloud data warehouses. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Lyftron.

Lyftron for Amazon Redhsift

Execution and Effectiveness

Experience rapid execution, as Lyftron doesn't handle the information row by row, like conventional ETL items, but performs set and mass activities in one go.

Lower Infrastructure Costs:

Control the current intensity of DBMS equipment motors, as opposed to relying upon outer organizing workers and scale effortlessly.

Codeless Development Environment:

Permits clients to incorporate a wide range of information without composing any code through a codeless advancement condition, expanding the designer's profitability.

Prebuilt Transformation layouts:

Use default layouts for normal changes like Star Schema and combination procedures taking out time spent on repetitive errands.

Data Parsing:

Complex Data Parsing capacities are incorporated with the tool – Access and parse complex information types including Weblogs, JSON, and XML records.

Business Intelligence at Your Fingertips:

Associate any BI instrument utilizing work in SQL Server drivers through a completely reenacted SQL Server convention. Scaffold an association from SaaS BI devices to on-premise information and the on-premise Enterprise Data Warehouse.

Thorough Analytics:

Access progressed reports for better bits of knowledge on your Amazon Redshift Database Warehouse information. Get bits of knowledge across items, channels, client lifetime worth, and that's just the beginning.

Secured Access:

Maintain security and resilience against steady digital dangers through secured Lyftron architecture.

Lyftron for Snowflake

Lyftron is a future-proof solution for rapid growth in data volume. It is amazing for data synchronization. It has a caliber to revolutionize the concept of dealing with data:

  • Snowflake Processing For Faster Query Performance:

    Lyftron empowers organizations to effortlessly handle information and changes from various sources to Snowflake, empowers with continuous sync and information security through cutting edge encryption with the most cost-effective licensing model.

  • Secured and Seamless Data Sharing:

    Lyftron and Snowflake follow top tier, standard-based practices to guarantee your information and information distribution center security.

  • Lower Infrastructure Costs:

    Lyftron's architecture brings down foundation costs and reduces load by wiping out the requirement for independent arranging framework or workers.

  • Codeless Development Environment And Integrated Metadata Views:

    Lyftron is outfitted with the most natural and easy to use interface. Within two clicks, you can load, move, and imitate information to any stages with no issue.

  • Boundless Cloud Compute:

    Lyftron and Snowflake columnar architecture consequently scale to help any measure of information, remaining burdens and simultaneous clients and applications without requiring information development, information bazaars or information duplicates.

  • Data Integration:

    Associate 130+ on-premise and cloud data sources and set up ceaseless information synchronization of chosen data.

Lyftron is a future-proof solution for rapid growth in data volume. It is amazing for data synchronization. It has a caliber to revolutionize the concept of dealing with data:

Lyftron use cases

  • Data Lake:

    Lyftron combines the power of high-level performance and cloud data warehousing to build a modern, enterprise-ready data lake.

  • Data Migration:

    Lyftron, allows you to migrate a legacy data warehouse either as a single LIFT-SHIFT-MODERNIZE operation or as a staged approach.

  • BI Acceleration:

    Scale your BI limitlessly. Query any amount of data from any source and drive valuable insights for critical decision making and business growth.

  • Master Data Management:

    Lyftron enables you to work with chosen web service platforms and manage large data volumes at an unprecedented low cost and effort.

  • Application Acceleration:

    With Lyftron you can boost the performance of your application at an unprecedented speed, high security, and substantially lower costs.

  • IoT:

    Powerful analytics and decision making at the scale of IoT. Drive instant insights and value from all the data that IoT devices generate.

  • Data Governance:

    With Lyftron, you get a well-versed data governance framework to gain full control of your data, better data availability and enhanced security.

LET’S GET PERSONAL: SEE LYFTRON ON YOUR DATA IN A LIVE DEMO

Schedule a free, no-strings-attached demo to discover how Lyftron can radically simplify data lake ETL in your organization.

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