Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Forward-thinking companies have come to understand that the handling of master data is fundamentally a business concern rather than merely an IT challenge. By implementing principles from Lean business philosophy, organizations can streamline processes and reduce inefficiencies, such as correcting data errors within the information supply chain. Even with substantial investments in various IT applications to enhance their operations, many businesses still grapple with the critical issue of ensuring the quality of their master data. The question arises: how can we minimize the time spent on data maintenance and focus more on effective management of our operations? Redirecting efforts toward increasing inventory turnover, shaping demand, or enhancing fulfillment processes can lead to greater success than merely addressing inaccuracies in product or customer data, which often lead to poor planning and execution. Drawing inspiration from Toyota's remarkable long-term success, leading scholars and American business executives have meticulously analyzed the Toyota Production System and the mechanisms that contribute to its effectiveness, highlighting the importance of a systematic approach to quality management in business practices. As they delve deeper, the hope is to foster a culture that prioritizes data integrity and operational excellence.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Kafka
Datadog
Grafana Cloud
Hugging Face
LangChain
Llama
OpenAI
Polymarket
PostgreSQL
Integrations
Amazon S3
Apache Kafka
Datadog
Grafana Cloud
Hugging Face
LangChain
Llama
OpenAI
Polymarket
PostgreSQL
Pricing Details
$30 per month
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
Tiger Data
Founded
2015
Country
United States
Website
www.tigerdata.com
Vendor Details
Company Name
Triniti
Website
www.triniti.com/lean-mdm
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
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
Product Features
Product Data Management
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control