Data warehouse processes, transforms, and ingests data to fuel decision making within an organization. Data warehouse software acts as a singular central repository of integrated data from multiple disparate sources that provide business insights with the help of big data analytics software and data visualization software. Data within a data warehouse comes from all branches of a company, including sales, finance, and marketing, among others branches.

Qualifications for a Data Warehouse and Mining Software

Today’s article will talk about the best Data Warehouse and Mining softwares in 2022. The article will discuss the ABCs of each product. The order of the article is decided on the basis of features and reviews by many first hand users. Without further ado, let’s get right to it!


Snowflake Homepage

About Snowflake

Snowflake’s cloud data platform is a barrier shattering software that has prevented organizations of all sizes from unleashing the true value from their data. Snowflake is used to advance the organizations beyond what was possible by deriving all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud which is instant, secure, governed access to their entire network of data and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications. 

Snowflake Features

Snowflake Video Support –

  1. Amazon Redshift – The most popular and fastest cloud data warehouse.

Amazon Redshift Homepage

About Amazon Redshift

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and it also costs way less than traditional data warehouses.

Amazon Redshift Features

Amazon Web Services Video Support –

  1. IBM Db2 – Transform and modernize your business with the leader in AI-driven data management solutions.

IBM Db2 Homepage

About IBM Db2

IBM Db2 holds databases to a higher standard, making it easy to deploy data wherever it’s needed, fluidly adapting to the changing needs and integrating with multiple platforms, languages and workloads. IBM Db2 is supported across Linux, Unix, and Windows operating systems.

IBM Db2 Features

IBM Data and AIVideo Support –

  1. Google BigQuery – Serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility.

BigQuery Homepage

About BigQuery

BigQuery is Google’s fully managed, serverless, petabyte scale, low cost enterprise data warehouse for analytics. There is no infrastructure to manage and you don’t need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL. BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies.

BigQuery Key Features

GCP Video Support –

  1. Teradata- The evolution of the cloud data warehouse.

Teradata Homepage

About Teradata

The Teradata Database is a foundation that easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment for their customers.

Teradata Features

Teradata Video Support –

  1. VMware Tanzu Greenplum – Parallel Postgres for enterprise analytics at scale.

Tanzu Homepage

About VMware Tanzu Greenplum

Greenplum is what happens when advanced analytics meets traditional business intelligence. Pivotal Greenplum is the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. The platform provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, Pivotal Greenplum delivers unmatched analytical query performance on massive volumes of data.

Pivotal Greenplum Features

Pivotal Greenplum Video Support –

  1. SQL Server 2019 – Apply intelligence across all over your data.

SQL Server 2019 Homepage

About SQL Server 2019

SQL Server 2019 is a data platform with industry-leading performance and security that analyses data irrespective of it being structured or not. Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

SQL Server 2019 Benefits

SQL Server 2019 Video Support –

  1. Azure Synapse Analytics – Limitless analytics service with unmatched time to insight.

Azure Synapse Analytics Homepage

About Azure Synapse Analytics

Azure Synapse is a limitless and profound analytics service that brings together enterprise data warehousing and Big Data analytics. It gives the freedom to query data on user terms, using either serverless or provisioned resources at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Azure Synapse Analytics Features

Microsoft Video Support –

  1. Netezza Performance Server – Single CL upgrade path. Available on premises, on cloud or hybrid.  

Netezza Homepage

About Basware

IBM’s prodigy Netezza Performance Server for IBM Cloud Pak for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables data science and machine learning with data volumes scaling as high as petabytes.

Netezza Features

Netezza Video Support –

  1.  Vertica – The Unified Analytics Warehouse.

Vertica Homepage

About Vertica

Vertica Analytics Platform is developed for the scale and complexity of today’s data-driven world. Vertica delivers speed, scale and reliability on mission-critical analytics, at a lower total cost of ownership than legacy systems. Vertica combines the power of a high-performance, massively parallel processing SQL query engine with advanced analytics and machine learning so one can unlock the full potential of data with no limits and no compromises and that too data which is available on-premise, in the clouds, on Apache Hadoop, or as a hybrid model. 

Vertica Features

  1.  Panoply – Sync, Store & Access All Your Data.

Panoply Homepage

About Panoply

Panoply delivers the industry’s leading insights by eliminating the development and coding typically associated with transforming, integrating, and managing data. Panoply’s proprietary AI technology automatically enriches, transforms and optimizes complex data, making it simple to gain actionable insights.

Panoply Features

Panoply Video Support –

  1.  Hive 

Hive Homepage

About Hive

Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map or reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.

Hive Features

Final Thoughts!

Hope the article helps you in selecting the best Data Warehouse and Mining Software that’s best for you and your corporation. Analyse your requirements and select the platform which best suits your needs.

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