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Description
Anyrow is an operational database designed specifically for AI, capable of transforming various data types such as documents, images, audio, video, emails, and traditional databases into organized rows within a cohesive relational schema. Users can input data through four different methods: by uploading files, migrating from competitors like Parseur, Docparser, Airtable, Notion, Sheets, or Postgres, enabling bidirectional synchronization with Sheets, Airtable, Notion, or Postgres, or by performing direct CRUD operations via the dashboard grid or REST/SDK interface. Each method can be utilized independently, in combination, or tailored per individual table requirements.
Maintaining the integrity of data sources is crucial, as each row retains its origin—whether it be a page, bounding box, or audio timestamp—ensuring that any corrections made enhance the quality of data extraction over time while remaining exclusive to each customer.
The system supports typed columns, relational fields such as link, lookup, and rollup, entity views, full-text search capabilities, natural language queries, a row-level audit log, soft deletes, intelligent caching, and SSE streaming. Additionally, it offers typed SDKs for languages including TypeScript, Python, Go, and Rust, along with webhooks and an OpenAPI specification for easy integration.
Impressively, users can expect to see their first row within 60 seconds, and there is a free tier option available for those looking to explore its functionalities. This rapid onboarding process highlights the platform's efficiency and accessibility for diverse user needs.
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
API Access
Has API
Screenshots View All
No images available
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
$49/month/user
Free Trial
Free Version
Pricing Details
$30 per month
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
Anyrow
Founded
2025
Country
Croatia
Website
anyrow.ai/
Vendor Details
Company Name
Tiger Data
Founded
2015
Country
United States
Website
www.tigerdata.com
Product Features
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
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