Effective data management is critical for organizations to better understand their customers, get more insights about their performance, and make informed business decisions. In this guide, I ranked and reviewed the 6 best data management tools, along with my top 3 choices, so that you can pick the best one.
The 6 best data management tools are Microsoft Azure, Google Cloud Platform, Boomi Master Data Hub, Amazon Web Services, Talend, and Panoply.
Data management tools are software designed to assist with the organization, storage, retrieval, and analysis of large amounts of data. These tools allow businesses and organizations to efficiently manage their data, ensuring its accuracy and consistency, and enabling informed decision-making.
It is critical to examine what features are most essential to you while selecting the best data management software. Aside from the license fee, it is critical to adopt the tool that will make it easier for you to implement your data management strategy and have full control over the elements of data management.
In addition, it is recommended to follow up with the latest data management trends to future proof your business and continue evolving.
Let’s get started reviewing the best data management tools available.
Comparison of Best Data Management Software
| Data Management Software | Free trial | Price | Best For |
|---|---|---|---|
| Microsoft Power BI | Yes | N/A | Small to large businesses |
| Google Cloud Platform | Yes | N/A | Small to large businesses |
| Boomi Master Data Hub | Yes | N/A | Small to large businesses |
| Amazon Web Services | Yes | N/A | Medium to large businesses |
| Talend | Yes | N/A | Small to medium businesses |
| Panoply | Yes | 399/month | Small to medium businesses |
What is the best data management tools?
Here are my top recommendations for data management tools to get you started with quickly analyzing huge amounts of data.
- Microsoft Azure
- Google Cloud Platform
- Boomi Master Data Hub
- Amazon Web Services (AWS)
- Talend
- Panoply
Each of these data management solutions has advantages and downsides; selecting the proper software necessitates careful planning and testing.
1- Microsoft Azure
Microsoft Azure is considered one of the best data management tools available in the market that allows organizations to manage, access, and analyze huge amount of data to better understand how things are working and allow for more informed business decisions.
It provides a wide range of features including data visualization, reporting, dashboards, data modeling, collaboration and smooth integration with all related Microsoft products. In addition, it provides a data modeling feature that allows users to create relationships between different data sources and perform advanced calculations.
Microsoft Azure offers the most competitive licensing model compared to other best business data management tools which makes it a cost-effective tool with extremely powerful capabilities.
Why I picked MS Azure? Microsoft Azure is the perfect cloud-based tool that provides advanced capability in an affordable licensing fee. In addition, being a Microsoft product, the community provides lots of training materials and support for free.
Key Features
- NoSQL-style table storage option
- Support a wide range of data sources including Excel spreadsheets, cloud services, streaming data, and on-premises databases and warehouses.
- Integrate different services in one platform
- Cloud computing
- Real time analytics
- Cost efficient as compared to other solutions
- Standard SQL Databases
Pricing
You need to explicitly calculate the price based on your selected preferences.
2- Google Cloud Platform
Google cloud platform is one of the best cloud data management software that allows users to utilize Google’s infrastructure for a range of services, including computing, storage, networking, data analytics, machine learning, and more.
Google Cloud Platform (GCP) provides a wide range of data connectors, enabling users to easily integrate data from various sources. Some of the data sources that GCP can connect to include:
- Databases: such as SQL, NoSQL, Postgres, and MySQL.
- Big data platforms: such as Hadoop, Apache Spark, and Apache Beam.
- Cloud storage services: such as Google Cloud Storage, Amazon S3, and Microsoft Azure Storage
- Analytics services: such as Google Analytics, Google BigQuery, and Google Data Studio.
Key Features
- Support data warehouses and relational databases
- Hybrid cloud management
- ETL (extract, transform and load)
- Best-in-class integration with open source standards and APIs
- ML and AI
- Unlimited scalability, strong consistency, and up to 99% availability
Pricing
GCP comes with a free version that you can try it to test their product. For commercial licensing, you need to get a quotation.
3- Boomi Master Data Hub
Boomi Master Data Hub is a cloub-based master data management platform that provides organizations with a centralized solution for managing their master data to help them store, control, and synchronize their critical data throughout their entire business which will ensure consistency and accuracy.
This MDM solution offers several significant features including data quality management, data governance, and synchronization to help businesses improve the quality and integrity of their data.
If you are looking for a robust solution to manage your data and make sure only high quality, accurate, and updated data is available when needed to drive more informed business decision, you should try Boomi Master Data Hub.
Key Features
- Quickly model master data
- Data synchronization through a centralized data hub
- Automatic notification
- Collective intelligence
- Extract, Transform and Load – ETL
- Seamless data integration
Pricing
Prices are not disclosed.
4- Amazon Web Services (AWS): Data Lakes and Analytics
AWS is considered also one of the best data management tools available in the market that will help your organization combine, move (real time), and replicate data across multiple data stores and data lakes.
Organizations of all sizes and industries can use AWS’s analytics services solutions to manage and collect insights from their data in a smooth and ease to use way. AWS provided solutions include data movement, data lakes, data storage, business intelligence solution, and big data analytics at the lowest code possible.
Key Features
- Smooth and fast data integration
- Predictive analytics and ML (using familiar SQL commands)
- Data warehouses
- Big data analytics
- Manage security, governance, and auditing policies
- Data profiling to identify data quality issues
Pricing
Prices are variable depending on your implementation.
5- Talend
Talend is a unified solution for integrating data, managing data, integrating enterprise applications, ensuring data quality, storing data in the cloud, and handling Big Data in both on-premises and cloud environments.
Its aim is to convert data into valuable business insights, enabling companies to make informed, real-time decisions and become more data-driven. By consolidating multiple functions into a single platform, Talend simplifies data management and eliminates the need for multiple, separate tools, allowing organizations to streamline their operations and improve their productivity.
Key Features
- Consolidate data from various relational and non-relational databases including Oracle, SQL Server, Postgres, and Snowflake
- Excellent set of integrations including AWS and Google Cloud Platform
- Data transformation (ETL)
- Well documented
- Good community (helps when extra plugins are needed)
Pricing
Prices are not disclosed.
6- Panoply
Panoply is a data management tool focusing on helping small to medium organizations to manage their data in the most efficient way. This cloud-based platform enables businesses to collect, store, and analyze data from a variety of data sources including relational and non-relational databases, applications, and REST services.
The platform offers a range of features, including automated data warehousing, ETL (Extract, Transform, Load) functionality, and customizable data pipelines, which allow users to move and transform data between various sources and destinations seamlessly.
In addition, it provides a set of advanced analytics tools to help you gain insights from data through their interactive dashboards and reports. it is extremely user friendly that makes it easy for your employees to design dashboards and reports without any IT dependence.
Key Features
- Supports over 80 data sources
- Real time data movement
- Scalable data warehouses
- Automated data ingestion
- Automated data modeling
Pricing
It comes with 3 plans including
- Lite: $399/month
- Basic: $1089/month
- Standard: $1719/month
Types of Data Management Tools
There are 4 different types of DM software available in the market including:
1- Cloud Tools:
Cloud data management tools give the freedom for organizations to store and manage their data on the cloud using REST API services, webhooks, and direct database connections.
2- ETL and Data Integration Tools
These tools are designed to assist organizations in automating the transformation of data, as well as in loading data from numerous sources, and continuously loading data into a designated database or data warehouse.
3- Master Data Management (MDM) Tools
Master Data Management (MDM) tools are software solutions that enable organizations to create and maintain a single, accurate, and complete version of their critical business data. These tools help ensure consistency and integrity across different systems and applications that utilize the same data.
4- Data Visualization and Analytics Tools
Data visualization tools enable the representation of complex data sets through interactive visualizations, charts, and graphs, allowing users to gain insights and make data-driven decisions.
Data analytics tools are software solutions that utilize statistical and quantitative analysis techniques to identify patterns, relationships, and trends in data, to help organizations derive insights and make informed decisions.
