Data Management

The Top 7 Data Management Software

Discover the top data management software solutions. Explore key capabilities such as comprehensive visibility, analytics, and data integration.

The Top 7 Data Management Software Include:
  • 1. Google BigQuery
  • 2. IBM InfoSphere Master Data Management
  • 3. Microsoft SQL Server
  • 4. SAP Data Intelligence Cloud
  • 5. SAS Data Management
  • 6. Syndigo Master Data Management
  • 7. Tableau Data Management

Data management solutions tools ensure organizations can manage their data in a consistent, reliable, and effective way.  This means that they can grow, without risking being overwhelmed by an increase in data to keep on top of. 

In the same way that it can be hard to keep track of large physical inventories, it can be difficult to manage and monitor digital data too. Organizations should take a similar approach when dealing with large amounts of data. Organizations need robust data management solutions to keep everything organized. 

Organizations today must keep track of more digital data than ever before. There is a steady increase in online traffic, with more and more businesses viewing the internet as a reliable finance stream. While in the past data could be measured in megabytes or gigabytes, today the volume of data is considerably larger, with around 2.5 quintillion bytes of data created daily. That’s a lot of data to manage.

Good data management software works to facilitate an organization’s development by providing unified data management. We’ve put together a list of the best solutions for organizations looking to managing their data effectively and securely. Read on to learn more about each data management software solution, the features they offer, and our evaluation of each one. 

Google Cloud Logo

BigQuery is Google’s fully managed enterprise data warehouse, designed to support users in analyzing their data with built-in data management capabilities. This solution is flexible, with an impressive feature set. Users have the ability to mix and match features depending on needs and pricing, with compute capacity autoscaling ensuring users pay only for the compute capacity they use. The solution also utilizes ML and real-time analytics with streamlined data pipelines, along with the ability to analyze and share data across clouds and to unify, manage, and govern all data types.

Expert Insights’ Comments: BigQuery is a serverless and cost-effective enterprise data warehouse solution that can work across clouds and has the flexibility needed to scale as your data grows. The solution makes it easy for users to visualize data for better analysis and to share with relevant stakeholders. We would recommend Google BigQuery to organizations looking for a fast, efficient, scalable tool to support their data analysis and management needs.

IBM logo

IBM are an American multinational technology corporation that was founded in 1911. IBM InforSphere Master Data Management (MDM) supports organizations in managing all aspects of their critical enterprise data, no matter their system or model. It does this with useful features like centralized management, virtual MDM, graph database capabilities, high availability, and policy management. The solution also has an intuitive user interface and offers a summary view of trusted data, which allows user to explore, match, and analyze data effectively.

Expert Insights’ Comments: Using comprehensive matching capabilities that work to reconcile data differences, IBM InfoSphere Master Data Management gives user an accurate, up to date view of their data. The solution also provides self-service access to a 360-degree view of customers and processes for improved collaboration and innovation. The solution provides a smooth user experience and user-friendly features. We would recommend the data management solution from IBM to organizations looking to manage their organizational data in a centralized way that is not overly complex, or for companies that are already utilizing the IBM product ecosystem.

Microsoft Logo

Microsoft is an American multinational technology corporations known for their extensive range of enterprise software solutions and applications; Microsoft SQL is their data management solution. This relational database management system is designed to provide users with a unified and streamlined management experience. It has a host of useful capabilities including analysis of on-premises operational data, visibility over the whole of the data estate, business continuity through Azure, and industry leading performance and availability. These capabilities facilitate data driven insights to ensure uptime, implement consistent policies, and help ensure security and compliance goals are met.

Expert Insights’ Comments: Microsoft SQL Servers aims to help organizations to get more out of their data via Azure-enables capabilities. By utilizing integration with Azure Synapse Analytics and Azure Purview, this solution allows users to drive deeper insights, predictions, and governance for their data at scale. The tool is very efficient and reliable. Microsoft SQL Server is a robust and scalable solution, so we would recommend it to organizations looking for a data management tool capable of keeping up with their growth.

SAP Logo

SAP is among the world’s leading developers of business process management software and provides solutions that streamline data processing and informational flow throughout organizations. SAP Data Intelligence Cloud is a comprehensive data management solution that features data integration (which allows for greater data insights by connecting to data assets), enterprise data management (for faster and better decision making), machine learning innovations for maximizing business value, and data cataloging which helps you to understand your data.

Expert Insights’ Comments: SAP Data Intelligence Cloud helps users to establish a strong foundation so that data infrastructure can connect, discover, profile, prepare, and orchestrate all enterprise data assets into actionable business insights. The solution has a high level of performance and the strong customer service. We would recommend SAP Data Intelligence Cloud to organizations looking for a strong product from a reliable vendor that has the capabilities necessary to facilitate comprehensive data management.

SAS logo

SAS is an American multinational analytics software developer that develops data access, management, analysis, and reporting solutions to support informed decision making. Whether your data is stored in the cloud, in legacy systems, or in a data lake, SAS Data Management can efficiently and effectively control data access. This solution has an expansive range of useful capabilities, which include a single data integration development environment, an integrated process designer, strong connectivity and data access, consistent metadata management, data federation, migration, and synchronization.

Expert Insights’ Comments: This solution supports the comprehensive and effective management of data by creating initial data management rules that can be enforced across an environment. This acts as a standard, repeatable method for improving and integrating data, without increasing cost. SAS Data Management is popular with large enterprises and is praised by users for its flexibility and functionality. We would recommend this solution to organizations interested in a tool designed to improve productivity, efficiency, and boost collaboration by streamlining tasks like updating data, tweaking processes, and analyzing data out of your hands, freeing them up for other projects.

SAS logo
Syndigo Logo

Syndigo Master Data Management is a future-ready MDM solutions, designed to support organizations to manage, govern, and analyze their master data in an intelligent way effectively and efficiently. The solution helps users to eliminate data silos via a single consolidated view of business-critical data, allows for data transparency with a 360 view of relationship insights residing in your data, and provides data driven accelerated growth, complete governance, and compliance. With this data management tool in place users enjoy better collaboration, syndication, validations, and flexibility.

Expert Insights’ Comments: Syndigo is a unified, multi-domain MDM that works to create a highly intelligence information system for governance, management, and tracking. The solution is easy to use, and has a range of strong capabilities, as well as the ability for a flexible data model setup. We would recommend Syndigo Master Data Management to organizations looking for a data management tool that helps to eliminate data inconsistencies by leveraging rules and artificial intelligence and is flexible while remaining robust and future-proof.

Syndigo Logo

Tableau is an interactive data visualization software company, founded in 2003. Their mission is to help users to oversee and understand their data to drive an informed decision making process. Tableau Data Management allows you to simplify data connectivity by creating and sharing a central access point to your data source. It lets you reimagine data governance by defining data security policies at the point of connecting to your data, streamlines data prep using automation, and provides insight into data lineage and quality for better understanding of who or what is using specific data, therefore improving collaboration.

Expert Insights’ Comments: Tableau Data Management delivers trusted, self-service analytics by scaling data automation and operationalization across the whole of the data and analytics lifecycle. Through improved data preparation, users are better able to understand, connect, and trust the data that they access. We would recommend Tableau Data Management to organizations looking for an easy to use, flexible solution with granular visibility into data.

The Top 7 Data Management Software