The 5 Best Data Warehouse Software Tools to Consider

The 5 Best Data Warehouse Software Tools to Consider

Part of selecting the best data warehouse software solution for your organization is making sure it aligns to business objectives. There a wide variety of great data warehouse software tools out there that focus on a specific use case or niche in the market. However, just because a specific set of capabilities works for one organization does not necessarily mean it will make do for another. The first step in the vendor selection process is to identify those providers whom offer products for your environment specifically. This ensures the best-fit and an excellent launch point for future deployments.

One place to begin your search for the best data warehouse software solution is G2 Crowd, a technology research site in the mold of Gartner, Inc. that is backed by more than 400,000 user reviews. G2 provides a handy Crowd Grid for data warehouse software that is broken down by deployment size and includes the mid-market and enterprise. This is an excellent starting point to purchasing the right solution and one we definitely recommend. The standings rotate on a rolling basis so check back often if you are in-market. These are the five data warehouse software tools included in G2’s Crowd Grid that we think you should consider first for any enterprise deployment.

Google BigQuery

Google offers a fully-managed enterprise data warehouse for analytics via its BigQuery product. The solution is serverless, and enables organizations to analyze any data by creating a logical data warehouse over managed, columnar storage, and data from object storage and spreadsheets. BigQuery captures data in real-time using a streaming ingestion feature, and it’s built atop the Google Cloud Platform. The product also provides users the ability to share insights via datasets, queries, spreadsheets, and reports.

SAP

SAP is a multinational software company. The company develops business software, including e-business and enterprise management software, consults on organizational usage of its applications software, and provides training services. SAP markets its products and services worldwide. Database solutions allow businesses to create, distribute, and maintain complete, accurate master data with SAP’s master data management software.

Sesame software

Sesame Software‘s Relational Junction product includes purpose-built, fully automated data warehouse tools for cloud or API-based data sources, including auto-discovery of new fields and scalable replication. The vendor currently offers its data warehouse solutions for Salesforce, Pardot and NetSuite. Deployment options include on-prem, AWS, and other collocated services. Relational Junction also offers Salesforce backup and recovery with on-prem deployment or hosted in its Cloud Backup and Recovery data center.

Oracle

Oracle recently announced that it signed an agreement to acquire BlueKai’s Marketing Cloud solution and combine it with Oracle’s Data Management Platform to personalize marketing programs and customer experience. Oracle’s DMP give companies the ability to build rich user profiles, combining information from first party and third party sources including media, advertising, social, and mobile sources. Oracle was the top dog in this year’s magic Quadrant for Operational Database Management Systems.

IBM

IBM offers data management solutions, data warehouse appliances, a z/OS solution, and a Hadoop distribution with BigInsights. Its appliances include the IBM PureData System for Analytics, the IBM PureData System for Operational Analytics, the IBM DB2 Analytics Accelerator, and the IBM Smart Analytics System. IBM offers DB2 with Blu Acceleration, as well as data warehouse managed services.

Timothy King
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Timothy King

Senior Editor at Solutions Review
Timothy is Solutions Review's Senior Editor. He is a recognized thought leader and influencer in enterprise middleware. Timothy has also been named a top global business journalist by Richtopia. Scoop? First initial, last name at SR dot com.
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