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
- Contain data from several or all branches of a company
- Integrate data prior to going into the data warehouse through an extract, transform and ETL process
- Allow users to perform queries and analyze the data stored inside the data warehouse
- Offer multiple deployment options
- Integrate with third-party reporting and business intelligence tools
- Serve as an archive for historical data
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 – A MODERN DATA PLATFORM BUILT FOR ANY CLOUD.
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
- Database – Real-Time Data Collection, Data Distribution and Data Lake
- Integrations – Hadoop Integration and Spark Integration
- Platform – Machine Scaling, Data Preparation and Spark Integration
- Processing – Cloud Processing and Workload Processing
- Data Management – Data Integration
- Integration – Data lake Integration
- Deployment – On-Premise and Cloud
- Performance – Scalability
Snowflake Video Support – https://www.youtube.com/user/snowflakecomputing
- Amazon Redshift – The most popular and fastest cloud data warehouse.
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
- Data lake and AWS Integrated
- Best performance
- Most scalable
- Best value
- Easy to manage
- Most secure and compliant
Amazon Web Services Video Support – https://www.youtube.com/user/AmazonWebServices
- IBM Db2 – Transform and modernize your business with the leader in AI-driven data management solutions.
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
- Database Features – Storage, Availability, Stability, Scalability, Security, Data Manipulation and Query Language
- Configuration – Application Performance, Orchestration, Database Monitoring, Anomaly Detection and Network Security
- Availability – Scalability, Backup and Archiving
IBM Data and AIVideo Support – https://www.youtube.com/user/ibmbigdata
- Google BigQuery – Serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility.
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
- BigQuery Omni (private alpha)
- Data QnA (private alpha)
- BigQuery ML
- BigQuery BI Engine
- Connected Sheets
GCP Video Support – https://www.youtube.com/user/googlecloudplatform
- Teradata- The evolution of the cloud data warehouse.
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
- Database Features – Storage, Availability, Stability, Scalability, Security, Data Manipulation and Query Language
- Data Management – Data Integration
- Performance – Scalability
- Security – Access Control, Encryption and Authentication
- Management – Data Schema, Query Language and ACID – Complaint
Teradata Video Support – https://www.youtube.com/user/teradata
- VMware Tanzu Greenplum – Parallel Postgres for enterprise analytics at scale.
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
- Successful Outcomes
- A trusted partnership
- Happy teams
- Embedded security and automation
- Cloud neutrality
- Open-source expertise
Pivotal Greenplum Video Support – https://www.youtube.com/channel/UCIC2TGO-4xNSAJFCJXlJNwA
- SQL Server 2019 – Apply intelligence across all over your data.
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
- Analyze every type of data
- Choose your language and platform
- Rely on industry-leading performance
- Make faster and better decisions
SQL Server 2019 Video Support – https://www.youtube.com/channel/UC_BLf95QgWpwlbSq-ZKLMwA
- 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
- Limitless scale
- Powerful insights
- Unified experience
- Instant clarity
- Unmatched security
Microsoft Video Support – https://www.youtube.com/user/Microsoft
- Netezza Performance Server – Single CL upgrade path. Available on premises, on cloud or hybrid.
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
- Fast analytics
- Smart, efficient queries
- Simplified infrastructure
- Advanced security
- Integrated platform
Netezza Video Support – https://www.youtube.com/user/ibmbigdata
- Vertica – The Unified Analytics Warehouse.
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
- Manage Huge Volumes of Data at Exabyte Scale
- Deliver Faster Analytics
- Integrate with Existing BI, ETL Tools
- Complementing Open Source Innovations
- In-Database Advanced Analytics
- The Most Flexible Cloud Support in Big Data
- Panoply – Sync, Store & Access All Your Data.
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
- Sync data
- Simplify & accelerate
- Easily replicate relational databases
- Automatically transform NoSQL data
- Sync, parse, and structure
- Unlock even more data
Panoply Video Support – https://www.youtube.com/channel/UCwtAHq73OwBTgPAfc7VIP7g
- Hive
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
- Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis.
- A mechanism to impose structure on a variety of data formats.
- Access to files stored either directly in Apache HDFS or in other data storage systems such as Apache HBase.
- Query execution via Apache Tez, Apache Spark, or MapReduce
- Procedural language with HPL-SQL.
- Sub-second query retrieval via Hive LLAP, Apache YARN and Apache Slider.
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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