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Customers by Geo
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Apache Lucene
Apache Lucene is an open source, high-performance, full-featured text search engine library written entirely in Java.It is suitable for any application that requires full-text search, especially cross ... -platform. Read more
- Text Mining
Market Share of Apache Lucene
- Current Customer The number of companies that currently use Apache Lucene
- 1791
- Websites Added The number of companies that have started using Apache Lucene in the past month.
NA- compared to last month
- Websites Dropped The number of companies that have stopped using Apache Lucene in the past month.
NA- compared to last month
Top Competitors and Alternatives of Apache Lucene
The top three of Apache Lucene’s competitors in the Text Mining category are Clarabridge with 10.45%, Mozenda with 5.50%, Crimson Hexagon with 3.50% market share.
Popular Comparisons
Top Competitors and Alternatives of Apache Lucene
The top three of Apache Lucene’s competitors in the Text Mining category are Clarabridge with 10.45%, Mozenda with 5.50%, Crimson Hexagon with 3.50% market share.
Technology Stack Analysis
Compare Tech Stack of Apache Lucene and Its Competitors
Get the list of top 5 common technologies used by Apache Lucene and its competitors.
Customers of Apache Lucene
Around the world in 2022, over 1622 companies have started using Apache Lucene as Text Mining tool.
Find which Apache Lucene customers are ready to buy from you by using Slintel's buying intent score.
Apache Lucene Customers by Industry
The three top industries that use Apache Lucene for Text Mining are Big Data (93), Artificial Intelligence (75), Machine Learning (72).
Apache Lucene Customers by Employee Count
The majority of Apache Lucene’s customers for the text-mining category fall in the company size of 1,000 - 4,999 employees (297 companies), 20 - 49 employees (285 companies), 10,000+ employees (277 companies).
Apache Lucene Customers by Geography
The top three geographies of Apache Lucene for text-mining are the United States with 886(49.47%), India with 118(6.59%), United Kingdom with 94(5.25%) customers respectively.
Employees of Apache Lucene
Download Slintel’s Chrome Extension to get verified contact data of Apache Lucene employees.
FAQ
Find answers to the most often asked questions by users.
Who are the top Apache Lucene competitors?
Apache Lucene’s Top competitors in the text-mining category are Clarabridge, Mozenda, Crimson Hexagon. You can view a full list of Apache Lucene competitors . Slintel uses advanced data mining and AI algorithms to track customers and of Apache Lucene and 40,000 other technologies on the internet.You can also compare Apache Lucene and its feature with top competitors here : Apache Lucene vs Clarabridge Apache Lucene vs Mozenda Apache Lucene vs Crimson Hexagon .
What is Apache Lucene customer distribution based on company size?
The majority of Apache Lucene’s customers for the text-mining category fall in the company size of 1,000 - 4,999 employees (297 companies), 20 - 49 employees (285 companies), 10,000+ employees (277 companies). You can view a distribution chart of Apache Lucene customers by company size .
What is Apache Lucene market share in the text-mining?
Apache Lucene has market share of 76.38% in text-mining market. Apache Lucene competes with 8 competitor tools in text-mining category. The top alternatives for Apache Lucene text-mining tool are Clarabridge with 10.45%, Mozenda with 5.50%, Crimson Hexagon with 3.50% market share.
What are the top industries that use Apache Lucene?
Top industries that use Apache Lucene for text-mining are Big Data (93), Artificial Intelligence (75), Machine Learning (72).
What are the top countries that use Apache Lucene?
Around the world in 2022, over 1622 companies have started using Apache Lucene as text-mining tool. Companies using Apache Lucene for text-mining are majorly from United States with 886 customers. 49.47% of Apache Lucene customers are from the United States. Other top countries using Apache Lucene are India and United Kingdom with 118(6.59%) and 94(5.25%) customers respectively.
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