Technology Profile
Market Share
Top Competitors
Customers
Customers by Industry
Customers by Size
Customers by Geo
Employees
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Foglight for Databases
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Foglight for Databases software allows users to proactively improve database performance and increase visibility by monitoring all the diverse databases centrally, through a single console. With alert...ing, diagnostics, performance analytics and more, Foglight for Cross-Platform Databases optimizes database health across the entire environment. Read more
Market Share of Foglight for Databases
- Current Customer(s) The number of companies that currently use Foglight for Databases
- 35
- Websites Added The number of companies that have started using Foglight for Databases in the past month.
1- compared to last month
- Websites Dropped The number of companies that have stopped using Foglight for Databases in the past month.
1- compared to last month
Top Competitors and Alternatives of Foglight for Databases
The top three of Foglight for Databases’s competitors in the Meeting category are Zoom with 62.80%, TeamViewer with 15.85%, Cvent with 6.19% market share.
Popular Comparisons
Top Competitors and Alternatives of Foglight for Databases
The top three of Foglight for Databases’s competitors in the Meeting category are Zoom with 62.80%, TeamViewer with 15.85%, Cvent with 6.19% market share.
Customers of Foglight for Databases
Around the world in 2023, over 34 companies have started using Foglight for Databases as Meeting tool.
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Foglight for Databases Customers by Industry
The three top industries that use Foglight for Databases for Meeting are Big Data (3), Cloud (2), Consulting (2).
Foglight for Databases Customers by Employee Size
The majority of Foglight for Databases’s customers for the meeting category fall in the company size of 10,000+ employees (9 companies), 1,000 - 4,999 employees (7 companies), 100 - 249 employees (5 companies).
Foglight for Databases Customers by Geography
The top three geographies of Foglight for Databases for meeting are the United States with 25(71.43%), Belgium with 3(8.57%), France with 3(8.57%) customers respectively.
Employees of Foglight for Databases
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FAQ
Find answers to the most often asked questions by users.
Who are the top Foglight for Databases competitors?
Foglight for Databases’s Top competitors in the meeting category are Zoom, TeamViewer, Cvent. You can view a full list of Foglight for Databases competitors . 6sense uses advanced data mining and AI algorithms to track customers and of Foglight for Databases and 40,000 other technologies on the internet.You can also compare Foglight for Databases and its feature with top competitors here : Foglight for Databases vs Zoom Foglight for Databases vs TeamViewer Foglight for Databases vs Cvent .
What is Foglight for Databases customer distribution based on company size?
The majority of Foglight for Databases’s customers for the meeting category fall in the company size of 10,000+ employees (9 companies), 1,000 - 4,999 employees (7 companies), 100 - 249 employees (5 companies). You can view a distribution chart of Foglight for Databases customers by company size .
What is Foglight for Databases market share in the meeting?
Foglight for Databases has market share of 0.01% in meeting market. Foglight for Databases competes with 51 competitor tools in meeting category. The top alternatives for Foglight for Databases meeting tool are Zoom with 62.80%, TeamViewer with 15.85%, Cvent with 6.19% market share.
What are the top industries that use Foglight for Databases?
Top industries that use Foglight for Databases for meeting are Big Data (3), Cloud (2), Consulting (2).
What are the top countries that use Foglight for Databases?
Around the world in 2023, over 34 companies have started using Foglight for Databases as meeting tool. Companies using Foglight for Databases for meeting are majorly from United States with 25 customers. 71.43% of Foglight for Databases customers are from the United States. Other top countries using Foglight for Databases are Belgium and France with 3(8.57%) and 3(8.57%) customers respectively.
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