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Description
Amazon Athena serves as an interactive query service that simplifies the process of analyzing data stored in Amazon S3 through the use of standard SQL. As a serverless service, it eliminates the need for infrastructure management, allowing users to pay solely for the queries they execute. The user-friendly interface enables you to simply point to your data in Amazon S3, establish the schema, and begin querying with standard SQL commands, with most results returning in mere seconds. Athena negates the requirement for intricate ETL processes to prepare data for analysis, making it accessible for anyone possessing SQL skills to swiftly examine large datasets. Additionally, Athena integrates seamlessly with AWS Glue Data Catalog, which facilitates the creation of a consolidated metadata repository across multiple services. This integration allows users to crawl data sources to identify schemas, update the Catalog with new and modified table and partition definitions, and manage schema versioning effectively. Not only does this streamline data management, but it also enhances the overall efficiency of data analysis within the AWS ecosystem.
Description
An intuitive, code-free platform designed for sophisticated data analysis, enabling quick and precise insights. Why choose Datavore? Accelerate your workflow by integrating various signals seamlessly. Identify and monitor indicators across multiple datasets to effectively validate and test these signals. Organize your data comprehensively, ensuring everything is cataloged in a single location. Utilize dynamic filters for swift access to both internal and external data. Dive into exploration by creating dashboards that allow for comparison, assessment, and ongoing monitoring of key metrics. Efficiently evaluate and track numerous indicators across different datasets. Conduct thorough proprietary research by building advanced forecasting models and performing regression analyses. This platform offers the flexibility of Excel combined with the scalability of the cloud, allowing for streamlined quantitative research and the automation of repetitive tasks. With Excel-like syntax, you can create custom functions and leverage existing time series formulas. The patented ingestion engine facilitates the discovery of concepts and relationships within expansive datasets. Align your data with the company’s fiscal calendar or other defined timeframes to ensure accuracy in reporting. Aggregate data effectively to enhance your analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon S3
Yes
Amazon S3 Express One Zone
Yes
Amazon SageMaker Data Wrangler
Yes
Amazon Transcribe
Yes
DBeaver Community
Yes
Data Sentinel
Yes
DataHub
Yes
Flyte
Yes
GrowthLoop
Yes
Luzmo
Yes
Integrations
Amazon S3
No
Amazon S3 Express One Zone
No
Amazon SageMaker Data Wrangler
No
Amazon Transcribe
No
DBeaver Community
No
Data Sentinel
No
DataHub
No
Flyte
No
GrowthLoop
No
Luzmo
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/athena/
Vendor Details
Company Name
Datavore Labs
Country
United States
Website
www.datavorelabs.com
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
