Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
For macOS users seeking a PostgreSQL GUI tool, PSequel stands out with its straightforward and user-friendly interface, allowing users to efficiently execute common PostgreSQL tasks. While pgAdmin is known for its extensive features, it often suffers from a cumbersome and complex user interface. Although there are numerous PostgreSQL GUI tools available, many of them rely on web or Java technologies, or they lack essential features that users desire. In the realm of MySQL, Sequel Pro is often regarded as the top client; however, it has not made strides in supporting PostgreSQL. This gap inspired us to create PSequel, which is built from the ground up using Swift 2, drawing significant inspiration from the design of Sequel Pro. Currently, PSequel is a passion project that we are developing in our free time. By focusing exclusively on macOS versions 10.10 and above, we aim to streamline the codebase and reduce the need for testing on outdated systems, resulting in a more efficient and less error-prone application. As PSequel continues to evolve, we are excited about the potential enhancements and features that will be introduced in future updates. The project remains in its early development phase, promising a bright future for PostgreSQL users on macOS.
Description
Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.
API Access
Has API
No
API Access
Has API
No
Integrations
PostgreSQL
Yes
Amazon S3
No
Apache Kafka
No
Datadog
No
Grafana Cloud
No
Hugging Face
No
LangChain
No
Llama
No
OpenAI
No
Polymarket
No
Integrations
PostgreSQL
Yes
Amazon S3
Yes
Apache Kafka
Yes
Datadog
Yes
Grafana Cloud
Yes
Hugging Face
Yes
LangChain
Yes
Llama
Yes
OpenAI
Yes
Polymarket
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$30 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
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
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
PSequel
Founded
2014
Website
www.psequel.com
Vendor Details
Company Name
Tiger Data
Founded
2015
Country
United States
Website
www.tigerdata.com
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Relational Database
ACID Compliance
No
Data Failure Recovery
No
Multi-Platform
No
Referential Integrity
No
SQL DDL Support
No
SQL DML Support
No
System Catalog
No
Unicode Support
No