Top 5 cloud data warehouses to consider in 2021
The best cloud data warehouses have certain attributes which bring them to this blog. The top cloud data warehouses have been listed in this blog below along with their pros and cons, helping you make the best choice when it comes to choosing the best between the top cloud data warehouses in 2021.
Snowflake equips data-driven organizations with the industry’s leading data warehouse built for the cloud; giving instant, secured, and governed access to their entire network of data. There is an industry consensus that Snowflake is acknowledged as one of the best cloud data warehouses for 2021. Its core architecture enables many types of data workloads, including a single platform for developing modern data applications.
It is a complete solution for data warehousing, data lakes, data engineering, data science, data application development, and for securely sharing and consuming shared data. Thousands of customers deploy Snowflake to advance their businesses beyond what was once possible by deriving all the insights from all their data.
A fast, no-fuss data warehouse as a service, Snowflake scales dynamically to give you the performance you need exactly when you need it.
Its architecture separates compute from storage so that you can scale up and down on the fly, without delay or disruption, even while queries are running. You get the performance you need exactly when you need it, and you only pay for the compute you use. Snowflake’s adaptive optimization ensures queries automatically get the best performance possible, with no indexes, distribution keys, or tuning parameters to manage. Snowflake can support unlimited concurrency with its unique multi-cluster, shared data architecture.
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Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, and is an excellent choice when it comes to choosing between the best cloud data warehouses in 2021. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. With Redshift, you can query and combine Exabyte of structured and semi-structured data across your data warehouse and lets you easily save the results of your queries.
It provides very fast SQL queries, connects with most business intelligence tools, and provides easy learning tools for new administrators and more. It is exceptionally fast and offers very high performance. Amazon Redshift is horizontally scalable and comes with a massive storage capacity. With an attractive and transparent pricing and an excellent SQL Interface, the AWS ecosystem and security framework will make your heart melt!
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Yellowbrick is a US-based database, providing massive parallel processing. It is a suite of visual diagnostic tools called ‘ Visualizers’ to allow the human steering model selection process. The Cloud Data Warehouse is a SaaS offering that connects customers to a single Yellow Bricks Cloud Data Warehouse via multiple public and private clouds. The service supports data warehouse volumes ranging from 10TB to several petabytes.
It is a modern-day warehouse that gives answers to complex queries and runs reports faster than others. Dramatically improves analytics performance. Yellow Bricks comes with an unbeatable price which makes it an excellent solution. Moreover, it gives you the freedom to choose your deployment as instances in private clouds, as SaaS in public clouds, or hybrid—with the same data, user experience, and control plane everywhere.
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SQL Azure is Microsoft’s cloud database service that is definitely worthy of being regarded as one of the best cloud data warehouses in 2021. Data is hosted, managed, and provisioned in data centers. It enables organizations to store relational data in the cloud. Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement. Azure SQL Database is always running on the latest stable version of the SQL Server database engine and patched OS with 99.99% availability. PaaS capabilities that are built into Azure SQL Database enable you to focus on the domain-specific database administration and optimization activities that are critical for your business. Owing to its immense capabilities and robust architecture.
Azure SQL is a family of fully managed, secure, and intelligent products that use SQL. It supports modern cloud applications. One can migrate applications with ease and continue to use the tools, languages, and resources. Azure SQL comes with easy to use migration tools, easy usability, high speed, and minimal downtime. It offers excellent scalability which is one of its star factors.
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Google BigQuery is a cloud-based enterprise data warehouse that offers rapid SQL queries and interactive analysis of massive datasets. The platform utilizes a columnar storage paradigm that allows for much faster data scanning as well as a tree architecture model that makes querying and aggregating results significantly easier and more efficient. Additionally, BigQuery is serverless and built to be highly scalable thanks to its fast deployment cycle and on-demand pricing. Various third-party tools can be used. BigQuery is a REST-based web service that allows you to run complex analytical SQL-based queries under large sets of data, clearly defining why enterprises across the globe have referred to it as one of the leading cloud data warehouses in 2021.
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Lyft, shift and load any data into cloud data warehouse instantly with Lyftrondata
Lyftrondata is a single powerful modern data solution which eliminates the traditional ETL/ELT bottlenecks with automatic data pipeline that makes data instantly accessible to BI users with the modern cloud compute of Spark & Snowflake.
The agile-based data delivery platform automatically connects with databases, loads them in cloud data warehouses and makes the data available in your favorite BI or analytics tool. All transformations are defined in standard SQL, which are pushed down to the data warehouse in their native SQL for better performance.