What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in big data tools category. Our data sources in big data tools category include;
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:
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.
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We use the data sources on the side for ranking solutions and awarding badges in big data tools category. Our data sources in big data tools category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Alteryx
Qlik Sense
Splunk Enterprise
Phocas Software
MicroStrategy
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
These are the number of queries on search engines which include the brand name of the solution. Compared to other IT / Tech categories, Big Data Tools is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 90%, 10% more than the average of search queries in this area.
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.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Alteryx
Qlik Sense
Splunk Enterprise
Phocas Software
MicroStrategy
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.
This data is collected from customer reviews for all Big Data Tools companies. The most positive word describing Big Data Tools is “Easy to use” that is used in 10% of the reviews. The most negative one is “Difficult” with which is used in 5.00% of all the Big Data Tools reviews.
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.
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".
This category was searched on average for 5k times per month on search engines in 2022. This number has decreased to 4.3k in 2023. If we compare with other it / tech solutions, a typical solution was searched 710 times in 2022 and this decreased to 620 in 2023.