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Datacoral

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About Datacoral

Datacoral is a data management software from Datacoral, Inc. 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. This platform helps global industry leaders utilize data and AI to address complex challenges. Datacoral is designed to support data operations across clouds, data centers, and edge environments, ensuring flexibility and accessibility for organizations of all sizes. Key capabilities: data integration cloud-native architecture enterprise AI acceleration security features industry insights Best for: enterprises that need comprehensive data management solutions.

Datacoral Details

Vendor
Datacoral, Inc.
Year Launched
2016
Location
340 Brannan St, San Francisco, CA 94107, United States
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian
Users
Data Analysts, Data engineers, Data Scientists
Industries Served
Healthcare, Education, Finance, Retail, Automotive, Manufacturing, Technology, Hospitality
Tags
Data Analysis, Data Integration, Data Management, Cloud Data Platform, Data Pipeline, Analytics, Business Intelligence, Data Engineering

Datacoral's In-App Market Place

Does Datacoral have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

6

Mini Apps

1. Looker: Looker is a powerful data analysis and visualization platform that integrates seamlessly with Datacoral to provide advanced analytics and insights.

2. Tableau: Tableau is another popular data visualization tool that can be integrated with Datacoral to create interactive and dynamic dashboards for data analysis.

3. Apache Superset: Apache Superset is an open-source data exploration and visualization platform that can also be used in conjunction with Datacoral for data analytics.

4. Mode Analytics: Mode Analytics is a collaborative business intelligence platform that can be integrated with Datacoral to create and share reports and dashboards.

5. Redash: Redash is a self-service BI tool that allows users to create visualizations and dashboards from a variety of data sources

including Datacoral.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CNY (¥), INR (₹), RUB (₽)

Pros & Cons

  • Real-time data pipelines for efficient data processing
  • Integration with popular data sources like Amazon Redshift, Snowflake, and BigQuery
  • Automated data transformation and cleansing for accurate analysis
  • Easy-to-use interface for non-technical users to create data pipelines
  • Scalable infrastructure to handle large volumes of data
  • Monitoring and alerting features to ensure data pipeline reliability and performance
  • Limited compatibility with certain data sources and systems
  • Steep learning curve for users unfamiliar with data analysis and ETL processes
  • Lack of advanced features and functionalities compared to other data analysis software
  • Relatively high pricing compared to similar solutions on the market
  • Limited customer support options, potentially leading to slow response times for troubleshooting and technical issues

Datacoral's Support Options

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