Going digital is the way to go when processing data. Doing so will help you leverage data efficiently and stay on top. Although, when it involves large and complex data sets, you need to step up your game and look beyond traditional data management solutions and focus your attention on big data software. Read on this article to learn more.
15+ Big Data Software
1. Qlik Sense
2. Azure Databricks
3. MATLAB
4. Qubole
5. BigQuery
6. DIAdem
7. Azure Data Lake Analytics
8. Dremio
9. Alteryx
10. IBM Cloud Pak for Data
11. Snowflake
12. Amazon EMR
13. Databricks
14. MS SQL
15. Google Cloud Dataflow
16. Azure HDInsight
What Is Big Data Software?
Big data software is a modern solution designed for users that need to track and process massive amounts of structured, unstructured, and semi-structured data. This software unifies the necessary tools, giving you better control and improving your monitoring tasks over your data management processes.
It centralizes data across multiple data sources and business applications, making it easier to track data analytics and gain actionable insights from a single interface. In addition, it has data formatting capabilities, allowing end-users to apply formatting techniques to make data more digestible.
Benefits
With this technology, you no longer need to perform the menial and taxing data analysis tasks with maximum human intervention. Instead, you can incorporate workflow automation to improve overall productivity and accuracy. Also, it improves results while cutting costs and optimizing tasks which enhances your business functions in multiple aspects.
Features
Getting the right software that will be easy to incorporate into your daily operations and align with your needs should be the goal for you and your organization. That said, ensure to equip yourself with the knowledge you need to be competent when making your decision and discover the trends in this software category to be more effective when filtering your choices in the software market. Look into their pricing plans with their software packages and interface designs to know which one to select. The following features are an essential part of the service offerings of a big data solution:
- Data visualization software tools
- Artificial intelligence capabilities
- Compliance management functionalities
- Powerful reporting tools
- Fraud detection features
- Data extraction functionalities
- Data warehousing capabilities
- Data center security features
- Version control tools
Top 10 Big Data Software
1. Amazon EMR
With Amazon EMR, you can utilize interactive analytics and data processing tools. They have a generated revenue of 386.1 billion dollars and have 1,468,000 employees.
2. Azure Databricks
This digital solution offers data engineering and machine learning functionalities. Its developer, Microsoft, has 182,268 employees working for them and has 161 billion dollars in revenue.
3. IBM Cloud Pak for Data
Functionalities for business process automation and workflow management are accessible in this digital solution. IBM has 73 billion dollars in revenue and has 375,300 employees.
4. MATLAB
With this data visualization solution, you can use digital tools for graphical data presentation and document management. They have 1.05 billion dollars in generated revenue and have 5,000 employees.
5. DIAdem
DIAdem is a platform that has functionalities for data aggregation and reporting. They have 7,400 employees in their team and have a generated revenue of 1 billion dollars.
6. Snowflake
Performance analysis and data migration tools are features you can use in this big data analysis software. They have generated a revenue of 1 billion dollars and have employed 2,500 people.
7. Qlik Sense
This statistical analysis solution has high-volume processing and data cleansing capabilities. They have a revenue of 679 million dollars and have 2,600 people on their team.
8. Alteryx
Alteryx is a business intelligence solution that provides users with fraud detection and information governance functionalities. They have 1,450 employees and have 495.3 million dollars in generated revenue.
9. Dremio
Dremio is a digital solution with a knowledge base and data security features. They have 56.4 million dollars in generated revenue and have employed 317 people.
10. Qubole
With this ET software, you can streamline data discovery and predictive analytics features. They have 79 people working for them and have 11.5 million dollars in generated revenue.
FAQs
How does AI work with big data?
Artificial intelligence recognizes patterns and relationships across data from CRM software, data warehouses, and other data sources. It has capabilities for learning and making decisions for anticipating future predictions for adapting to trends. It utilizes natural language processing to generate knowledge and map potential issues and bottlenecks in the processes.
What is big data?
Big data is similar to traditional data. What sets it apart is it refers to high volumes of data which makes it complicated to process. As they say, the elements of big data have three V’s volume, velocity, and variety. Volume is the amount of data, velocity refers to the speed at which data streams into the business, and variety is the data type.
Why are big data essential for businesses?
Big data allows businesses to identify the best course of action to take in much less time. It ensures efficiency while guaranteeing the outcomes desired. Also, it incorporates a data-driven culture into your workforce and processes, improving your digital marketing and product management operations. Big data processing and distribution also increases business profitability and determines opportunities.
Ensure to have the analytics and intelligence you need at the tips of your fingertips with the appropriate modern solution for you. Provide a high-quality customer experience and enjoy seamless workflows using agile and innovative solutions. Make it big in the business industry with the best big data software for you.
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