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Top Exacaster Alternatives, Competitors & Similar Software

Founded 2011

Find 3 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Gooddata Corporation, Sisense and DataRobot. These Exacaster competitors have raised $1.9B and together serve more than 102.9K customers and employ over 1.7K team members.

Compare Exacaster with Gooddata Corporation
1
Gooddata Corporation

Data Science and Machine Learning Platforms

GoodData is a cloud-based analytics platform that provides business intelligence and data analytics solutions for organizations. The platform allows users to easily connect to and analyze data from multiple sources, create custom reports and dashboards, and share insights with stakeholders. GoodData also offers embedded analytics capabilities, allowing companies to seamlessly integrate analytics into their own products and services. The platform leverages advanced technologies such as machine learning and artificial intelligence to provide predictive analytics, forecasting, and anomaly detection. GoodData serves a variety of industries, including healthcare, financial services, and e-commerce, among others. Their goal is to empower organizations with the insights they need to make data-driven decisions and drive business success.

Revenue
$63M
Customers
100K
Year founded
2007
Funding
$350.2M
Team size
257
Location
United States
Compare Exacaster with Sisense
2
Sisense

Data Science and Machine Learning Platforms

Sisense is a business analytics software company with offices in New York City, San Francisco, Tel Aviv, London, Melbourne, Tokyo, and Scottsdale, Arizona.

Revenue
$184.8M
Customers
2K
Year founded
2004
Funding
$269.5M
Team size
598
Location
United States
Compare Exacaster with DataRobot
3
DataRobot

Data Science and Machine Learning Platforms

The company that owns datarobot.com is DataRobot Inc., a software company based in Boston, Massachusetts, USA. DataRobot provides an automated machine learning platform that helps organizations build and deploy predictive models quickly and efficiently. The platform offers a range of tools and features to help data scientists, business analysts, and other users build and deploy predictive models without needing extensive coding or machine learning expertise. DataRobot''s platform can be used to solve a range of business problems, including fraud detection, customer churn prediction, and sales forecasting, among others. The company was founded in 2012 and has since grown to become a leader in the machine learning space, with offices and customers around the world. DataRobot has been recognized for its innovative approach to machine learning and has won several awards for its platform and company culture.

Revenue
$285M
Customers
850
Year founded
2012
Funding
$1.3B
Team size
835
Location
United States
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