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Cazena

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About Cazena

Cazena is a data management platform from Cazena that provides scalable and secure data management with portable, cloud-native data services. It combines driving advancement, delivering cloud anywhere, and accessing data anywhere so organizations can accelerate enterprise AI and enable their teams. Cazena enables global industry leaders to use data and AI to solve complex challenges. This platform supports data management across various environments, including clouds, data centers, and at the edge, facilitating efficient data usage and analysis. Key capabilities: scalable data management cloud-native services enterprise AI acceleration global deployment secure data access Best for: organizations that need scalable data solutions for improving their AI capabilities.

Cazena Details

Vendor
Cazena
Year Launched
Location
Waltham, Massachusetts, USA
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Chinese, Japanese
Users
Data Analysts, Data Scientists, Data Engineers, IT Administrators, Business Analysts
Industries Served
Healthcare, Education, Finance, Retail, Manufacturing, Telecommunications, Government, Transportation
Tags
Big Data, Cloud Data Platform, Data Lakes, Data Warehousing, Analytics, Machine Learning, Data Science

Cazena's In-App Market Place

Does Cazena have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

10

Mini Apps

1. Apache Spark: A fast and general-purpose cluster computing system that provides data processing capabilities.

2. Apache Hadoop: An open-source framework for distributed storage and processing of large sets of data.

3. Tableau: A data visualization tool that helps users create interactive and shareable dashboards and reports.

4. Snowflake: A cloud-based data warehousing platform that allows users to store and analyze large amounts of structured and semi-structured data.

5. Amazon Redshift: A fully managed data warehouse service that enables users to run complex analytic queries on large datasets.

6. Microsoft Power BI: A business analytics tool that provides interactive visualizations and business intelligence capabilities.

7. Google BigQuery: A serverless

highly scalable

and cost-effective multi-cloud data warehouse for analytics on large datasets.

8. Apache Kafka: A distributed streaming platform that enables users to build real-time data pipelines and streaming applications.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (元), INR (₹)

Pros & Cons

  • Managed cloud platform for Hadoop, Spark, and other big data technologies
  • Automated infrastructure setup and maintenance
  • Simplifies big data deployment and management
  • Scalable and elastic
  • Helps organizations quickly get value from their big data initiatives
  • Limited customization options for advanced users
  • Limited integration options with other software systems
  • High cost compared to other Big Data solutions
  • Limited support for complex analytics and machine learning algorithms
  • Limited scalability for large data sets and high workloads

Cazena's Support Options

Email Address

support@cazena.com

Contact

1-888-342-6352

Documentation

https://docs.cazena.com/

Community Forums

https://community.cazena.com/

Chatbot

Available

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