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Ratings and Reviews 0 Ratings
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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 DATPROF?
Transform, create, segment, virtualize, and streamline your test data using the DATPROF Test Data Management Suite. Our innovative solution effectively manages Personally Identifiable Information and accommodates excessively large databases. Say goodbye to prolonged waiting periods for refreshing test data, ensuring a more efficient workflow for developers and testers alike. Experience a new era of agility in your testing processes.
Integrations Supported
EDB Postgres Advanced Server
IBM Db2
Jenkins
MariaDB
Mendix
Microsoft Azure
MySQL
Oracle PeopleSoft
Oracle Siebel CRM
Parasoft
Integrations Supported
EDB Postgres Advanced Server
IBM Db2
Jenkins
MariaDB
Mendix
Microsoft Azure
MySQL
Oracle PeopleSoft
Oracle Siebel CRM
Parasoft
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
DATPROF
Date Founded
2005
Company Location
Netherlands
Company Website
www.datprof.com
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
Compliance
Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
ISO Compliance
Incident Management
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
HIPAA Compliance
Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management
PCI Compliance
Access Control
Compliance Reporting
Exceptions Management
File Integrity Monitoring
Intrusion Detection System
Log Management
PCI Assessment
Patch Management
Policy Management