Data warehouse software acts as the central storage hub for a company’s integrated data that is used for analysis and future business decisions. The integrated information within data warehouses comes from all branches of a company, including sales, finance, and marketing, among others. Each of these departments may have its own repository for singular, specific, and relevant information, which are known as data marts. Data warehouses can be built in two ways. The first is a top-down design, which collects all data from the company at a granular level and then allocates the data to specific data marts. The other is a bottom-up approach, where the data marts are created first and then later combined to form a complete data warehouse. Data warehouses can combine data from sales force automation tools, marketing automation platforms, ERP and supply chain management suites, etc., to enable the most precise analytical reporting and intelligent decision-making. Businesses may also use predictive analytics and artificial intelligence tools to pull trends and patterns found in the data.
To qualify for inclusion within the Data Warehouse category, a product must:
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BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. BigQuery is serverless. 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.
Snowflake started with a clear vision: Make modern data warehousing effective, affordable and accessible to all data users. Snowflake enables the data-driven enterprise with instant elasticity, secure data sharing and per-second pricing, across multiple clouds. Because traditional on-premises and cloud solutions struggle at this, Snowflake developed a new product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake: Your data, no limits. To start using Snowflake for free, visit: https://trial.snowflake.com
Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insight from your data and perform analytics on very large data volumes. Smart, efficient queries Simplifies analytics by consolidating all activity in one place, where the data resides. Simplified infrastructure Easy to deploy and manage; simplifies your data warehouse and analytic infrastructure. Does not require tuning, indexing or aggregated tables and needs minimal administration. Advanced security Enhanced data security is provided through self-encrypting drives as well as support for the Kerberos authentication protocol. Integrated platform Supports thousands of users, unifying data warehouse, Hadoop and business intelligence with advanced analytics.
Panoply is the world’s first Smart Cloud Data Warehouse. Panoply delivers the industry’s fastest time to 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. The company, based in San Francisco and Tel Aviv, is privately held and funded by investors such as Intel Capital, 500 Startups, Blumberg Capital, and C5 Capital. For more information please visit https://www.panoply.io
Game-changing insight that impacts business performance only happens when you analyze data by business process or team objective, as opposed to by file type or IT system. This is what ZAP enables. Our flagship product, ZAP Data Hub connects, collects and unifies business data, integrating it into a secure, governed hub and preparing it for expert analysis with BI tools such as Microsoft Power BI, Tableau and Qlik. ZAP Data Hub tackles critical data challenges, delivers value to all business functions and works with an array of apps and data sources, replacing inefficient and inaccurate manual data processing and time-consuming and expensive data warehouse projects.
Numetric is a cloud-based software and data services company built for DOT engineers by DOT engineers. We are dedicated to empowering these agencies to be more efficient, data-driven, and focused in making their roadways safer. HOW we deliver differentiated value: Data Expertise: We unlock the value of DOTs' data by preparing structuring, and managing that data easier, deeper analysis. APPs just for DOTs Our product suites are built specifically to automate and accelerate transportation engineers' most time-consuming processes. Easy, Flexible Sharing Our cloud-based apps make it easy to share data--in static reports, dashboards, or powerful analytics tools--with all stakeholders.
Protect and integrate your valuable corporate data with Sesame Software’s Relational Junction suite of Enterprise Application Integration products. Sesame Software provides solutions for over 125 different SaaS applications including Salesforce, MS Dynamics, NetSuite, Marketo, Pardot, as well as any relational database. For corporations worldwide, this suite delivers scalable database ETL, information warehouse, on-premise and cloud integration, as well as complete backup and recovery capabilities to reduce business risk, eliminate data loss and ensure regulatory compliance for your data. The Relational Junction suite offers a unique approach to integration that: - Leverages existing database skills. Learn the entire product in an hour. - Supports best practices for development and testing of complex systems. - Provides a high performance, low footprint, fault-tolerant runtime environment.
Data Virtuality provides data integration solutions that help companies to easily connect and manage their data from multiple data sources such as APIs, databases and flat files. The revolutionary single source of data truth platform combines data virtualization and automated ETL. In this way not only is data management simplified but data integration efforts are significantly reduced – by up to 80%. Imprint: https://datavirtuality.com/imprint/
Rubrik delivers instant application availability to hybrid cloud enterprises for recovery, search, cloud, and development. By using the market-leading Cloud Data Management platform, customers mobilize applications, automate protection policies, recover from Ransomware, search and analyze application data at scale on one platform. From days to seconds. Rubrik has been named to Gartner’s Cool Vendors in Storage Technologies, 2016, the Forbes Cloud 100, and awarded the NorthFace ScoreBoard Award.
SAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can integrate many different data sources to provide a single, logical view of all the data. This could include data contained in SAP and non-SAP applications running on-premise or in the cloud, and data lakes, such as those contained in the Apache Hadoop open-source software framework. With SAP BW/4HANA, IT organizations can become the hero, providing business users with real-time analytics, tailored analytical applications, and intelligent automated support for business processes based on data from SAP and non-SAP line-of-business applications.
Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projects and applications. Create a flexible governance strategy Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs. Modernize and consolidate your systems Enables you to consolidate applications, retire outdated databases and modernize your infrastructure, as well as automate business processes for improved cost savings. Connect business and IT Provides a unified platform that enables collaboration, which can help you bridge the gap between business and IT and align objectives.
A next generation hybrid database family with configurations that are optimized for either transactional or data warehouse workloads. Management choice Choose fully managed solutions in the cloud or a client-managed local deployment. Common technology A common SQL engine leverages existing skills while improving efficiency across transaction and analytic workloads. Transactional or data warehouse dashDB configurations can deliver an optimized stack for either data warehousing or transactional needs.
Oracle Autonomous Data Warehouse Cloud provides an easy-to-use, fully autonomous database that scales elastically, delivers fast query performance and requires no database administration.
Teradata Unity is a powerful product that helps you create a synchronized and unified data warehouse environment. It routes users and queries, synchronizes databases, provides end-to-end monitoring of processes and data flows, and intelligently moves data between systems.
The Vertica Analytics Platform is purpose built from the very first line of code for Big Data use cases and is trusted by thousands of leading data-driven enterprises around the world, including AT&T, Etsy, Twitter, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Its design features include: • Column-oriented storage organization, which increases performance of queries. • Standard SQL interface with advanced analytics capabilities built-in, such as time series, pattern matching, event series joins, machine learning and geospatial. • Compression, which reduces storage costs and I/O bandwidth. High compression is possible because columns of homogeneous datatype are stored together and because updates to the main store are batched. • Shared nothing architecture, which reduces system contention for shared resources and allows gradual degradation of performance in the face of hardware failure. • Easy to use and maintain through automated data replication, server recovery, query optimization, and storage optimization. • Support for standard programming interfaces ODBC, JDBC, ADO.NET, and OLEDB. • Integration to Hadoop with the capability to perform analytics on ORC and Parquet files directly.
WhereScape helps more than 700 customers worldwide use automation to reduce project risk and deliver actionable, reliable data infrastructure initiatives faster. IT teams use WhereScape® 3D to tackle the planning, design and modelling associated with data warehouses, data lakes and data marts. WhereScape® RED, an integrated development environment, provides teams the automation to streamline workflows, eliminate hand-coding and cut the time to develop, deploy and operate data infrastructure by as much as 80%. WhereScape® Data Vault Express™ offers a practical way to implement the 2.0 Data Vault standard. WhereScape has offices in the USA, UK, New Zealand, and Singapore.
Anvizent is a purpose-built solution for Manufacturing Analytics and Business Performance Management. Anvizent helps manufacturing organizations gain better visibility and control over their operations by providing a timely, unified and actionable view of data residing in disparate systems.
Cloudera, based in Palo Alto, California, U.S, offers Cloudera Enterprise, a platform that includes Cloudera Analytic DB (for BI & SQL workloads based on Apache Impala), Cloudera Data Science & Engineering (for data processing and machine learning based on Apache Spark and Cloudera Data Science Workbench), and Cloudera Operational DB (for real-time data serving based on Apache HBase and Apache Kudu). Through their SDX (shared data experience) technologies, the platform provides unified security, governance, and metadata management across these workloads as well as across deployment environments. Cloudera’s platform is available on-premises; across the major cloud environments (including native object store support for S3 and ADLS); and as a managed service under the Cloudera Altus brand.
TX2014, TimeXtenders Data Warehouse Automation Platform, enables you to get results from business intelligence in a very short amount of time. TX2014 turns a business intelligence project into a business intelligence process with a flexible solution that can grow with the needs of your business.