Software for managing data is popularly known as Data management software (DMS) that receives information and converts all types of data into one unifying storage unit or consolidates diverse data into a single resource like the d... Read Buyer’s Guide
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Brand: IBM
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IBM InfoSphere DataStage is a web-based data management software that facilitates on-time delivery of trusted data stored over other multi-cloud environme...
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Ibm Infosphere Datastage
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Brand: IBM
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IBM Master Data Management on Cloud, for customer data, and IBM Master Data Management Collaborative Edition on Cloud, for product data, make it easier to...
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Ibm Master Data Management On Cloud
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Brand: Adobe
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Adobe Audience Manager provides a set of features for business users to increase productivity and perform core functions accurately. Depending on the size...
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Adobe Audience Manager
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Brand: IBM
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IBM InfoSphere Optim Test Data Fabrication is a test data management software, utilizing years of experience in constraint satisfaction and automated test...
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IBM InfoSphere Optim Test Data Fabrication
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Brand: IBM
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IBM Hybrid Data Management Platform is a cloud master data management enables you to collect, manage and provide business insights to data across on-premis...
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IBM Hybrid Data Management Platform
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Brand: IBM
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IBM® InfoSphere® Information Server for Data Warehousing provides information integration capabilities for your data warehouse appliance. It helps...
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IBM InfoSphere Information Server for Data Warehousing
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Brand: IBM
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IBM InfoSphere Information Server for Data Quality enables you to cleanse data and monitor data quality on an ongoing basis, helping to turn your data into...
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Ibm Infosphere Information Server for Data Quality
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Brand: IBM
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With IBM Spectrum Copy Data Management, IT teams of an organization can use their pre-existing storage infrastructure, facilitating rapid deployment of th...
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IBM Spectrum Copy Data Management
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Brand: Indian Mesh Pvt Ltd
Mink InfoTech Data Extraction System is a complete Marketing Tools designed to serve Startups, SMBs, SMEs and Agencies. This Marketing Tools for Web-Based...
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Mink InfoTech Data Extraction System
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Brand: SlickPie
Slickpie MagicBot is an automated receipt data entry tool that enables businesses to streamline accounting tools by automatically pulling information from...
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MagicBot
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Last Updated on : 04 Oct, 2023
Data Management Software Comparison
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A data management system provides a centralized platform for users to store, manage and analyze data. The robust software assists in the seamless processing of data, which helps organizations to make profitable decisions and gain valuable insights.
The approximate price of data management software starts at Rs 25 rupees per device/month. The approximate price of data management software starts with Rs 25 rupees per device/month (OCTOBUS) and goes up to Rs 82,00,000 per year (Zaloni Arena DataOps Platform).
Some of the most noteworthy software for data management are IBM Master Data Management, Sap Agile Data Preparation, Terracotta and Rubrik Polaris.
Ataccama, Hitachi Vantara, IBM Master Data Management and Terracotta are some of the best data management systems.
Excel is not a full-fledged data management software. It is a spreadsheet program that is used for managing data.
SQL is a programming language that is used to create, manage, modify, organize or retrieve data using multiple functions and operations.
Found our list of Data Management Software helpful? We’re here to help you make the right choice and automate your business processes. Let’s discover some of the essential factors that you must consider to make a smarter decision!
Data management software collects and analyzes data from a wide range of data sources. With the help of this software, organizations can combine all their data effectively for easy access and complete control. This powerful tool is used for fulfilling important business objectives such as data integration, extraction, virtualization, warehousing, etc.
It tracks the entire life span of data and provides optimum security during all phases that include data generation, data storage, and data disposal. To answer important questions regarding compliance and data security and ensure minimal maintenance burden on the system, data managers might set multiple time frames for every phase of the data lifecycle.
Data management software is specifically designed to assist organizations in the effective storage, management and analysis of data. The main goal of this system is to ensure that stored data is accurate, secure, and consistent.
This software further helps in maintaining the data quality by identifying and eliminating duplicate records. Moreover, machine learning, statistical analysis and data visualization tools can help in extracting data insights.
Data management software helps in detecting and correcting errors, redundancies, and inconsistencies in data to ensure its accuracy. By using this software, you can get real-time insights into your data, making it easier for you to take critical decisions and quickly respond to changing market trends.
As the data management system will be the single source of data for your organization and stakeholders, it can improve collaboration and avoid any misunderstanding.
Lastly, the software can help you in complying with security and data privacy regulations. The tools for access control, audit trails and data governance will ensure that data is being used according to ethical and legal standards.
DBMS software is used by a wide range of organizations and individuals that include:
Data management systems are classified into 2 different types that include:
On Premise Data Management System
This system is primarily installed on desktops and can be purchased at a one-time price. The main benefits of using an on-premises data management system are total control, customization facility, total ownership of the software, and it doesn't require a Wi-Fi connection to work. However, there are some drawbacks as well, such as scalability issues and high installation costs.
Cloud Data Management Software
Cloud-based solutions can be accessed on any device, which gives users the added benefit of accessibility and collaboration. For companies that have offices in multiple locations, this is an important point to consider before buying software. It is mainly available on a monthly or yearly subscription-based model. The only drawback of using this system is complete reliability on internet connection. Thus, you need a fast and uninterrupted internet connection to use it at its full potential.
Here are five key features of a data management software:
Data Integration and Cleaning
Data management software comes with the ability to integrate and collect information from multiple sources. It helps you in streamlining the data which is already stored in your databases and servers, plus it also saves you time and money. The software also has the ability to clean the stored data. In this process, the data is prepared for analysis by modifying or removing irrelevant, corrupted, incorrect, incorrectly formatted, or duplicate data.
Robust Reporting
DBMS database management system offers a robust reporting feature that helps you in generating accurate and timely reports that can easily be accessed by anyone. You can use the data visualization tool to identify valuable data, spot trends and make informed decisions. All comprehensive software systems offer standardized or customized reporting options and also allow you to filter and view data in different ways like department wise, users, data range etc. Furthermore, it can be integrated with existing report generation tools, therefore you can view all your data across multiple platforms in one place.
Data Protection and Retention
The profound security features protect the data from misuse, unauthorized access, tampering and data breach. A data recovery option is also available to recover lost data due to system malfunctions, disasters, bugs or power failures. Additionally, investing in a data management system is a wise choice as it protects your data from both external and internal threats.
Real time data management
This feature of the software lets you manage data in real-time, thus you can detect any issues and resolve them as soon as possible. To take complete advantage of this attribute, you should store all the data at a centralized location. Even if you collect data from multiple sources, data management systems’ feature will compile all data in a unified view.
Automated data visualization
The system helps you in identifying unique patterns and trends and make data-backed decisions. Even when the data is stored at the source, you can streamline visualization and data analytics by integrating the software with the analytics platform. It lets you see all data at a one central location, without switching between multiple systems.
Intuitive interface
If the software is difficult to navigate, it defeats the purpose of having software in the first place. But, thankfully, DBMS has a user-friendly interface plus it offers ease to the users while finding the information in just a few clicks of a button. Moreover, the modern and intuitive design provides a personalized experience.
Database management systems provide an extensive array of functionalities for data storage and retrieval, data management, analytics, report generation, and data processing. Some most popular ones are MangoDB, Oracle Database, Apache Hadoop, Snowflake and Talend.
Some of the major characteristics of DBMS database management systems are:
Store data in a realistic form
DBMS software is designed according to the varying requirements of business organizations and can efficiently store large datasets in the form of realistic entities. For example, a database can store the cost of multiple brands of mill or bread, the cost of various vegetables etc. Similarly, when it is used in a school, all student details stored in the system are like real-world entities (objects) and have numerous properties like name, gender, roll number, age etc.
Store all types of structured data
Data management system can store all types of data. It is not restricted to address, salary, employee name etc. Any type of data which is available in the real world can be easily stored in this system. It is an important characteristic, as your work is not limited to any specific kind of data format.
Easy access to data
Before data management software, finding info from thousands of names was a time-consuming process. However, in DBMS systems, you can easily run a search query and find any data with just a few clicks. Moreover, the software allows you to perform CRUD (Create, Read, Update & Delete) operations at a lightning-fast speed.
Data security and integrity
One of the main features of database management software is that it protects data from unauthorized access. The access to make modifications in the document by employees can be controlled, or sometimes a user can also be given complete control of the data as per requirement. It comes with data encryption technology which protects your data from malicious attacks. The data loss prevention (DLP) system further helps in preventing the leakage of sensitive or critical information.
Let's look at some noteworthy capabilities of data management software:
Here are 5 of the most famous database management systems that can take your business to the pinnacle of success:
Software | Features | Best For |
1010data | Business Intelligence, Statistical Analysis, Text Analysis, Data Virtualization, Insight Engines, Predictive Analytics | Enterprise-scale data management and analytics |
Ataccama | AI-powered, Master Data Management, Data Catalog, Data Integration, Cloud data handling | Single platform for automated data quality, MDM, & metadata management capabilities |
Hitachi Vantara | Data protection and recovery, Operational recovery and disaster recovery, Cost effective solution | Managing, analyzing and integrating data |
Ibm Master Data Management On Cloud | Data management, Scalable, Hybrid model, Cloud based | Managing critical enterprise data |
Sap Agile Data Preparation | Automatic cleansing, One-click data suggestion and actions, Operationalized data sets | Discover, prepare, acquire and access the quality of data |
Author: Kalpana Arya
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