<h3 id="1" style="font-weight: 600;font-size: 27px;line-height: 27px;" >Data warehouse</h3>

<p>A data warehouse is exactly what it sounds like— a place where data gets stored. It is a centralised data management system where your data lives either before or after it’s cleaned and prepared for sending to business intelligence applications.

Data Warehousing is the process of collecting structured data from single or multiple sources into a data warehouse to facilitate reporting, ad hoc queries & making decisions.</p>

Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer.

Oracle Autonomous Data Warehouse is an easy-to- use, fully autonomous database that scales elastically, delivers fast query performance and requires no database.

Amazon Redshift is a fully managed petabyte scale data warehouse service. Redshift is designed for analytic workloads and connects to standard SQL based clients and business intelligence tools. Redshift delivers fast query and I/O performance for virtually any size dataset by using columnar storage technology and parallelizing and distributing queries across multiple nodes. Most common administrative tasks associated with provisioning, configuring, monitoring, backing up, and securing a data warehouse are automated.

Amazon Redshift is a fast, simple, cost-effective data warehousing service.

Dremio is a provider of analytical processing data lake engines. The features of the product include data security and control, SSO authentication, automatic backups, predictive pipelining, inbound impersonation, workload management, etc. The clients of the company include Henkel, Honeywell, NCR, UBS, Verisk, DIAGEO, etc.

Dremio is a next-generation data lake engine that liberates your data with live, interactive queries directly on cloud data lake storage. On-Demand Demo.

Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.

Databricks combines the best of data warehouses and data lakes into a lakehouse architecture.

Cloud-based business management software provider. The product is available as on-premise software or can be hosted in the cloud. It is a platform-as-a-service providing in-memory database and business application services. The features of the product include financial planning, treasury management, supplier management, strategic sourcing, cloud integration, enterprise information management (EIM), network and spend management, analytics, revenue management, security, etc.

SAP Business Warehouse is SAP’s Enterprise Data Warehouse product. It can transform and consolidate business information from virtually any source system

Provider of MPP analytics and data warehouse solution for hybrid cloud. It provides a solution to solve the challenges of high availability, running complex mixed workloads, support for ad-hoc SQL, computing correct answers on any schema, massive scalability, and supporting large numbers of concurrent users. It allows companies to make faster decisions with all of their data. The clients include Overstock, Teoco, Symphony retail, and Clarity Innovations.

Yellowbrick shatters ceilings on data warehouse price/performance across private, public, hybrid, and distributed data clouds.

CData Software provides drivers for Applications, Databases, and Web APIs through standards-based driver technologies like ODBC, JDBC, ADO.NET, SSIS, BizTalk, Excel etc. CData Software is a spin-off of software that provides enterprise-class tools for Internet communications, security, and e-business development. Some of its customers includes  Microsoft, Sony, Xerox, Cisco, Dell, Motorola, Intel etc.

CData Software is a leading provider of data access and connectivity solutions.

Firebolt is the world’s fastest cloud data warehouse, purpose-built for delivering a new grade of analytic experiences over big data. It provides tech companies with a modern data stack, an order of magnitude faster query performance at a fraction of the cost of the alternatives by combining the simplicity, elasticity and low cost of the cloud with the latest innovations in analytics. Engineering teams that adopted Firebolt have been able to deploy data applications and interactive analytics over big data in weeks while delivering sub-second performance at terabyte to petabyte scale.

Firebolt is a complete redesign of the cloud data warehouse for the era of cloud and data lakes. Data warehousing with extreme speed & elasticity at scale.

Vertica develops data management solutions for storing and querying databases. Its products include The Vertica Analytic Database, which helps in analyzing data; Vertica for the Cloud, a cloud-based analytic database that helps in data management; and Vertica Analytic Database appliance, a hardware/software data management solution, which enables the clients to conduct near-real-time and ad hoc queries. After acquisition it is now promoted as HP Vertica Systems and has tools for SQL analysis on Hadoop.

Vertica offers the most advanced unified analytical warehouse that enables organizations to keep up with the size and complexity of enormous data volumes.

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.

Snowflake is the only data platform built for the cloud for all your data and all your users. Mobilize your data to advance your business.

Azure Synapse Analytics is an evolution of Azure SQL Data Warehouse. Azure SQL Data Warehouse was a massively parallel processing (MPP) cloud-based, scale-out, relational database, designed to process and store large volumes of data within the Microsoft Azure cloud platform. At its core, Azure Synapse contains the MPP, scale-out technology of Azure SQL Data Warehouse (referred to as Synapse SQL pool).

Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics.

Panoply provides a real-time data warehouse and management platform for non-DBAs. The product offers data management of real-time feeds from different sources without the requirement of expertise from DBA or IT operations analysts. It enables businesses to aggregate data that can be queried and connected to BI tools. The features include automated data transformation, data schema modeling, dashboard, and query optimization. The clients of the company include GoDaddy, SAUCEY, SPANX, Shinesty, etc.

Panoply is a simplified cloud data warehouse based on Amazon Redshift. 

Polyture provides mid-market companies with all of the necessary tools to become a modern, data-driven enterprise.

BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.

Cloud analytics and infrastructure management solutions provider. It provides master data management (MDM) solutions that manage multiple domains of master data and reference data. It also provides a hybrid cloud solution that makes use of artificial intelligence for modernizing business. The features of the product include data management, governance, and integration, process automation, etc. It provides solutions to industries such as banking, government, healthcare, life sciences, manufacturing, oil & gas, etc. In 2021, the company recorded annual revenues of $73.62B, and a net profit of $5.59B.

IBM offers on-premises, cloud, and integrated appliance data warehouse solutions—all built on a data analytics and artificial intelligence foundation optimized for predictive insight and data-driven decision making.

Provider of the decision support software solution. It provides a real-time analytics platform for businesses and users to get insights for decision-making. It also provides user-facing analytics, data aggregation, data insights, operational analytics, user engagement and product analytics for product distinguishing to generate revenue streams.

Real-Time Analytics for Your Business and Your Users. From the Original Creators of Apache Pinot

Flywheel Software is the smartest way to target customer segments from the data you already have. Our Democratized Customer Data Platform (anti-CDP) allows anyone in your organization—marketing, sales or analytics—to systematically experiment with targeting customer segments to drive revenue in minutes; no prior SQL experience required. We’re trusted by many of the world's largest and most reputable brands such as Google, NASCAR, The Boston Red Sox, Indeed and Mercari.

The Easiest Way to Create Customer Segments on your Data Warehouse

Incorta is the data analytics company on a mission to help data-driven enterprises be more agile and competitive by resolving their most complex data analytics challenges. Incortas Direct Data Platform translates complex information from multiple sources into clear intelligence at unprecedented speed, while maintaining data integrity and fidelity.

Incorta provides data analytics software that aggregates large complex business data in real time, eliminating the need to reshape it.

Teradata provides cloud data analysis and a customer data platform. It specializes in providing analytics data platforms, marketing, and analytic applications, and consulting services. It provides a database that delivers real-time results. It provides a data manager that unifies all the data about customers, suppliers, distributors, products, and locations to provide a single version of the master data. It also provides real-time integration and synchronization of a single view of master data.

Teradata is a data warehousing platform for collecting and analyzing vast amounts of enterprise data in the cloud.

The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. 

Upsolver is the only no-code data lake engineering platform. It empowers any SQL-savvy data practitioner to design and deliver big data projects on an AWS or Azure in days, not the months required by hand-coding and configuring Spark implementations. Upsolver is used by the world's most data-intensive organizations, including Sisense, ironSource, and AppsFlyer, for preparing petabyte-scale streaming datasets.

Upsolver is a no-code data lake engineering platform that combines data lake economics with data warehouse performance.

Hydra is a data warehouse that is accessible from Postgres. You can start for free, begin scaling with Postgres, then switch to the data engine of your choice at any time. It's frictionless to swap back-end engines without lock-in.

Hydra makes data warehouses accessible to every developer - easy to use, free from lock-in, and with cloud scale.

Data Warehouses

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