Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Apache Kafka
No
AtomicJar
No
Azure Marketplace
No
DataClarity Unlimited Analytics
No
DbVisualizer
No
Docker
No
Grafana Cloud
No
Metabase
No
PostgreSQL
No
Stackreaction
No
Integrations
Apache Kafka
Yes
AtomicJar
Yes
Azure Marketplace
Yes
DataClarity Unlimited Analytics
Yes
DbVisualizer
Yes
Docker
Yes
Grafana Cloud
Yes
Metabase
Yes
PostgreSQL
Yes
Stackreaction
Yes
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
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
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
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No