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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon S3 No 
Microsoft Azure No 
PostgreSQL No 

Integrations

Amazon S3 Yes 
Microsoft Azure Yes 
PostgreSQL Yes 

Pricing Details

$49/month/user
Free Trial No 
Free Version Yes 

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anyrow

Founded

2025

Country

Croatia

Website

anyrow.ai/

Vendor Details

Company Name

ParadeDB

Website

www.paradedb.com

Product Features

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 

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 

Alternatives

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Amazon RDS

Amazon

Alternatives

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PostgreSQL

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