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Ratings and Reviews 0 Ratings
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What is Datavore?
Datavore is a user-friendly platform that allows for in-depth data analysis without coding, providing quick and accurate insights for users. What sets Datavore apart? It enhances your productivity by effortlessly merging various signals into one cohesive workflow. You can easily identify and keep track of indicators across diverse datasets, which aids in validating and testing these signals with precision. The platform allows you to organize your data systematically, ensuring that everything is stored in one centralized location for easy access. With dynamic filtering options, you can swiftly navigate both internal and external data sources. Explore your data further by designing dashboards that facilitate comparison, evaluation, and continuous tracking of essential metrics. This enables you to effectively assess and monitor numerous indicators from different datasets. Additionally, you can conduct comprehensive proprietary research by developing sophisticated forecasting models and running regression analyses. Datavore combines the versatility of Excel with the expansive capabilities of the cloud, streamlining quantitative research while automating repetitive tasks. Users can harness Excel-like syntax to formulate custom functions and utilize existing time series formulas seamlessly. The patented ingestion engine aids in uncovering concepts and relationships that exist within large datasets. Furthermore, you can align your data with the company’s financial calendar or any specified periods to maintain accuracy in your reporting. By effectively aggregating data, you can significantly boost the quality of your analysis while ensuring that insights are readily available. As a result, Datavore empowers users to make data-driven decisions with confidence and ease.
What is Data Lakes on AWS?
A multitude of Amazon Web Services (AWS) users are in search of a data storage and analytics option that outperforms traditional data management systems in terms of flexibility and agility. The emergence of data lakes has proven to be a groundbreaking and increasingly popular approach for data storage and analysis, allowing businesses to manage a wide array of data types from multiple sources within a single repository that supports both structured and unstructured data. AWS Cloud offers vital elements that empower customers to develop a secure, versatile, and cost-effective data lake. These elements include AWS managed services that facilitate the ingestion, storage, discovery, processing, and analysis of diverse data formats. To support clients in building their data lakes, AWS presents a thorough data lake solution that acts as an automated reference implementation, laying out a highly available and economical data lake architecture on the AWS Cloud, complemented by a user-friendly console for searching and accessing datasets. Additionally, this solution not only improves the accessibility of data but also simplifies the entire data management process, ultimately leading to enhanced operational efficiency for organizations. As a result, companies can leverage these advantages to make more informed decisions based on their data insights.
Integrations Supported
VE3 DataWise
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Datavore Labs
Company Location
United States
Company Website
www.datavorelabs.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/solutions/implementations/data-lake-solution/
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge