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Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements…
ThoughtSpot is an analytics platform that enables users to leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. The vendor states companies can put the power of their modern data stack…
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
Oracle now offers their Autonomous Data Warehouse Cloud PaaS, a fully managed data warehouse available through Oracle Cloud.
Oracle Exadata is software and hardware engineered to support high-performance running of Oracle databases.
Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates virtually all the complexities of operating a data warehouse, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, patching,…
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
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…
Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources,…
Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance…
Teradata Vantage is presented by the vendor as a powerful, modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Aiming to lead the way with hybrid multi-cloud environments and priced for flexibility, Vantage…
ParAccel was a data warehouse appliance (DWA) option now offered by Actian, since the acquisition of ParAccel (April, 2013). It was offered for some time as Actian Matrix, but has since been discontinued, and is superseded by Actian Avalanche.
ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions.…
VMware Tanzu Data Services is a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.
The Oracle Database Exadata Cloud Service is a PaaS supplying high availability and performance access to Oracle Database via Oracle Cloud.
Actian Avalanche hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower cost than alternative solutions. Avalanche has built-in self-service data…
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom…
Teradata Data Warehouse Appliance, most recent model 2850, is a fully-integrated system purpose built for data warehousing. The appliance features Teradata Database with a Teradata hardware platform with dual Intel Xeon 18-core processors, up to 12TB of memory in a single cabinet,…
Data warehouse software gives users a processing pipeline for large volumes of data from one or more sources. Data warehouse software assists with the extracting, transforming, and loading (ETL) processes of warehousing data. Data warehouse software automates these tasks and autonomously standardizes data for proper storage. Data warehouse software also lets users observe, evaluate, and analyze data in real time.
Data warehouse software allows users to dynamically store, access, and search data across multiple sources from one platform. This allows analysts and data science teams to work more efficiently because it lets them handle and report on information from multiple programs, software, AI, or other assets. Data warehouse software also makes the management of historical data easy, as it allows archival data to be standardized, modernized, and searchable from multiple access points.
Data warehouse software can be thought of as a broadly applicable type of Data Integration Tool. Because Data Integration Tools appear to require more nuanced direction on the part of the user, they are typically used for internal data standardization, e.g. enterprises with proprietary assets. Data warehouse software, on the other hand, can readily interface with a wide variety of sources on behalf of the user, making them useful for organizations that work with multiple third-party platforms.
The most common data warehouse software features are:
When choosing the best data warehouse software for you, consider the following:
On-premise vs. cloud storage. Choosing a data warehouse software for should start with whether you want to employ a cloud-based or on-premises solution. Cloud-based solutions are low-cost, highly scalable, and do not require hardware or servers to operate, while on-premises solutions grant greater degrees of data control and security at the expense of high maintenance costs. Some vendors offer a hybrid deployment option for users who prefer to have both options available to them.
Data sources. Choosing the best data warehouse software product may depend on the types of data sources you use. The individual compatibility of streaming applications, the Internet of Things, databases, CRMs, accounting software, and other sources needs to be considered, as does the data warehouse software’s ability to combine, extract, and access data from multiple sources at once. Snowflake has a wide array of native connectors for Python and Spark, making it a suitable warehouse for app developers. If you anticipate a large number of data sources reaching into the hundreds, Amazon Redshift has support for virtually unlimited number of data queries without compromising data transmission speed.
Software deployment time. Depending on the product you choose and its associated features, fully integrating data warehouse software can be a lengthy process. The average time of implementation is about 20 weeks, with probably 9 weeks at the earliest completion rate. This is because the warehouse needs to be carefully integrated so that data integrity is not compromised. Each vendor’s implementation process varies, so they should be contacted directly about this process.
Regulation compliance. You’ll want to ensure that the data warehousesSoftware you choose allows you to comply with industry-specific or governmental regulations. Tools such as user authentication, data access controls, end-to-end data encryption, and dynamic data masking are among the many tools that you can use to this end, but be sure to consult with the vendors about your specific compliance concerns.
Data warehouse software pricing can depend on a variety of factors, such as ongoing data computing, data storage volume, and query loads. Some vendors offer free plans with limited storage features. Pricing plans dynamically adjust to the needs of a business, so vendors should be contacted directly to craft a personalized plan.
The following resources can help you to understand your data warehouse software needs:
