List of OpenText Vertica Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Ali Supermarket Retail 3700 $1.1B Italy OpenText Legacy OpenText Vertica Data Warehouse 2012 n/a
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Buyer Intent: Companies Evaluating OpenText Vertica

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OpenText Vertica. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating OpenText Vertica for Data Warehouse include:

  1. Phoenix lekArensky velkoobchod, a Czech Republic based Distribution organization with 774 Employees
  2. Baiterek National Managing Holding, a Kazakhstan based Government company with 127 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD OpenText Vertica Coverage

OpenText Vertica is a Data Warehouse solution from OpenText.

Companies worldwide use OpenText Vertica, from small firms to large enterprises across 21+ industries.

Organizations such as Ali Supermarket are recorded users of OpenText Vertica for Data Warehouse.

Companies using OpenText Vertica are most concentrated in Retail, with adoption spanning over 21 industries.

Companies using OpenText Vertica are most concentrated in Italy, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenText Vertica across Americas, EMEA, and APAC.

Companies using OpenText Vertica range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 100%, and global enterprises with 10,000+ employees - 0%.

Customers of OpenText Vertica include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified OpenText Vertica customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse.