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Description
FileQuest® offers a fast, web-based solution for data discovery, catering to the needs of litigation, investigations, regulatory requirements, and privacy safeguards. With FileQuest® Digital Mountain, users gain access to on-demand web solutions that streamline and enhance the entire electronic discovery process. This innovative web solution equips law firms, corporations, and government entities with the tools to independently manage data extraction, filtering, processing, reviewing, and producing documents with ease. By utilizing our comprehensive, fully integrated platform, FileQuest® significantly minimizes the duration of data discovery while removing the burden of maintaining software or hardware on your end. Essentially, FileQuest® delivers swift data discovery as a service, allowing for flexibility without any substantial initial investment. Additionally, FileQuest® ensures continual data importation as discoveries happen and maintains a thorough audit trail of all electronic evidence. This level of control and efficiency makes FileQuest® an invaluable asset for organizations navigating complex data landscapes.
Description
QuestDB is an advanced relational database that focuses on column-oriented storage optimized for time series and event-driven data. It incorporates SQL with additional features tailored for time-based analytics to facilitate real-time data processing. This documentation encompasses essential aspects of QuestDB, including initial setup instructions, comprehensive usage manuals, and reference materials for syntax, APIs, and configuration settings. Furthermore, it elaborates on the underlying architecture of QuestDB, outlining its methods for storing and querying data, while also highlighting unique functionalities and advantages offered by the platform. A key feature is the designated timestamp, which empowers time-focused queries and efficient data partitioning. Additionally, the symbol type enhances the efficiency of managing and retrieving frequently used strings. The storage model explains how QuestDB organizes records and partitions within its tables, and the use of indexes can significantly accelerate read access for specific columns. Moreover, partitions provide substantial performance improvements for both calculations and queries. With its SQL extensions, users can achieve high-performance time series analysis using a streamlined syntax that simplifies complex operations. Overall, QuestDB stands out as a powerful tool for handling time-oriented data effectively.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
Integrations
Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Digital Mountain
Country
United States
Website
www.digitalmountain.com
Vendor Details
Company Name
QuestDB
Country
United Kingdom
Website
questdb.io
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics