Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ParadeDB enhances Postgres tables by introducing column-oriented storage alongside vectorized query execution capabilities. At the time of table creation, users can opt for either row-oriented or column-oriented storage. The data in column-oriented tables is stored as Parquet files and is efficiently managed through Delta Lake. It features keyword search powered by BM25 scoring, adjustable tokenizers, and support for multiple languages. Additionally, it allows semantic searches that utilize both sparse and dense vectors, enabling users to achieve improved result accuracy by merging full-text and similarity search techniques. Furthermore, ParadeDB adheres to ACID principles, ensuring robust concurrency controls for all transactions. It also seamlessly integrates with the broader Postgres ecosystem, including various clients, extensions, and libraries, making it a versatile option for developers. Overall, ParadeDB provides a powerful solution for those seeking optimized data handling and retrieval in Postgres.
Description
Utilize SQL queries to extract data sets from your databases for comprehensive analysis. Employ tables and pivot tables to scrutinize these data sets, revealing fresh patterns and trends through your findings. Communicate your insights effectively by generating PDF reports or exporting your data to formats like Excel, HTML, and XML. Quickly gain actionable insights from your SQL data sets with ease and speed. You have the flexibility to sort, filter, group, and summarize your SQL data in any manner necessary, allowing for varied arrangements of columns based on your preferences. This capability not only aids in summarizing data but also helps in uncovering new information and insights. You can create multiple summaries for individual columns utilizing different functions, and present these in group headers, footers, or column footers. Additionally, you have the option to highlight exceptional values through customizable rules and formulas. Organize your data by sorting one or more columns in either ascending or descending order as needed, and apply filters to each column to display only the relevant information you wish to analyze. Ultimately, this approach facilitates a more tailored and insightful exploration of your data.
API Access
Has API
API Access
Has API
Integrations
PostgreSQL
Amazon S3
Azure SQL Database
Collate
Firebird
HTML
MariaDB
Microsoft Access
Microsoft Azure
Microsoft Excel
Integrations
PostgreSQL
Amazon S3
Azure SQL Database
Collate
Firebird
HTML
MariaDB
Microsoft Access
Microsoft Azure
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$45 one-time payment
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
ParadeDB
Website
www.paradedb.com
Vendor Details
Company Name
Yohz Software
Country
Malaysia
Website
www.yohz.com/sda_details.htm
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization