Big Data Tools

Big data software is a tool to manage and analyze large amounts of data to infer insights, and extract important information.

Big data software is a tool to manage and analyze large amounts of data to infer insights, and extract important information. Big data software provide functionalities for:

  • Cleaning data
  • Detecting data patterns
  • Detecting anomalies
  • Visualizing data and creating dashboards
  • Reporting

Some big data tools offer artificial intelligence and machine learning capabilities such as natural language processing (NLP), optical character recognition (OCR), and decision-making algorithms.

If you’d like to learn about the ecosystem consisting of Big Data Tools and others, feel free to check AIMultiple IT / Tech.

Compare Best Big Data Tools

Results: 184

AIMultiple is data driven. Evaluate 184 services based on comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is calculated based on objective data.

*Products with visit website buttons are sponsored

Big Data Tools Leaders

According to the weighted combination of 7 data sources

Alteryx

Qlik Sense

Splunk Enterprise

Phocas Software

MicroStrategy

What are Big Data Tools market leaders?

Taking into account the latest metrics outlined below, these are the current big data tools market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.

Alteryx

Qlik Sense

Splunk Enterprise

MicroStrategy

Phocas Software

What are the most mature Big Data Tools?

Which big data tools companies have the most employees?

73 employees work for a typical company in this solution category which is 52 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 111 companies with >10 employees are offering big data tools. Top 3 products are developed by companies with a total of 300k employees. The largest company building big data tools is IBM with more than 300,000 employees.

IBM
Mindtree Ltd.
SAS
NetApp
OpenText

What are the Big Data Tools growing their number of reviews fastest?


We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.

These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.

What is the average customer size?

According to customer reviews, most common company size for big data tools customers is 1,001+ employees. Customers with 1,001+ employees make up 33% of big data tools customers. For an average IT / Tech solution, customers with 1,001+ employees make up 31% of total customers.

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Customer Evaluation

These scores are the average scores collected from customer reviews for all Big Data Tools. Big Data Tools is most positively evaluated in terms of "Overall" but falls behind in "Ease of Use".