ParadeDB

About ParadeDB

Transforms PostgreSQL into a real-time search and analytics engine by integrating native indexing and query capabilities, eliminating the need for separate tools like Elasticsearch. This solution supports update-heavy workloads with zero ETL, ensuring immediate data availability, reduced operational complexity, and seamless integration with existing PostgreSQL environments.

```xml <problem> Traditional search and analytics solutions require complex ETL pipelines to synchronize data between PostgreSQL and specialized engines like Elasticsearch. This introduces overhead, potential data loss, and operational complexity, especially for update-heavy workloads requiring real-time data availability. </problem> <solution> ParadeDB transforms PostgreSQL into a real-time search and analytics engine, eliminating the need for separate tools and ETL processes. By integrating native indexing and query capabilities directly within PostgreSQL, ParadeDB ensures immediate data availability and consistency. It supports update-heavy workloads with ACID guarantees, allowing users to leverage existing PostgreSQL infrastructure for both transactional and analytical workloads. This approach simplifies the data stack, reduces operational overhead, and strengthens data reliability. </solution> <features> - Native PostgreSQL indexes for full-text search, analytics, and faceting - BM25 scoring and custom tokenizers to enhance search relevance - Support for hybrid search combining vector and keyword queries - Zero-ETL integration with existing PostgreSQL infrastructure and managed services like Amazon RDS, Azure Postgres, and Google Cloud SQL - Direct querying and ingestion of data from S3, GCS, and Azure Blob Storage - Compatibility with the PostgreSQL dialect, eliminating the need to learn a new query language - Automatic index cleanup integrated with PostgreSQL's vacuum process </features> <target_audience> ParadeDB targets enterprises and developers using PostgreSQL who need real-time search and analytics capabilities without the complexity and overhead of separate systems. </target_audience> ```

What does ParadeDB do?

Transforms PostgreSQL into a real-time search and analytics engine by integrating native indexing and query capabilities, eliminating the need for separate tools like Elasticsearch. This solution supports update-heavy workloads with zero ETL, ensuring immediate data availability, reduced operational complexity, and seamless integration with existing PostgreSQL environments.

Where is ParadeDB located?

ParadeDB is based in East New York, United States.

When was ParadeDB founded?

ParadeDB was founded in 2023.

How much funding has ParadeDB raised?

ParadeDB has raised 500000.

Who founded ParadeDB?

ParadeDB was founded by Philippe Noël.

  • Philippe Noël - Co-Founder/CEO
Location
East New York, United States
Founded
2023
Funding
500000
Employees
4 employees
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ParadeDB

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Transforms PostgreSQL into a real-time search and analytics engine by integrating native indexing and query capabilities, eliminating the need for separate tools like Elasticsearch. This solution supports update-heavy workloads with zero ETL, ensuring immediate data availability, reduced operational complexity, and seamless integration with existing PostgreSQL environments.

paradedb.com1K+
cb
Crunchbase
Founded 2023East New York, United States

Funding

$

Estimated Funding

$500K+

Team (<5)

Philippe Noël

Co-Founder/CEO

Ming Ying

CTO

Company Description

Problem

Traditional search and analytics solutions require complex ETL pipelines to synchronize data between PostgreSQL and specialized engines like Elasticsearch. This introduces overhead, potential data loss, and operational complexity, especially for update-heavy workloads requiring real-time data availability.

Solution

ParadeDB transforms PostgreSQL into a real-time search and analytics engine, eliminating the need for separate tools and ETL processes. By integrating native indexing and query capabilities directly within PostgreSQL, ParadeDB ensures immediate data availability and consistency. It supports update-heavy workloads with ACID guarantees, allowing users to leverage existing PostgreSQL infrastructure for both transactional and analytical workloads. This approach simplifies the data stack, reduces operational overhead, and strengthens data reliability.

Features

Native PostgreSQL indexes for full-text search, analytics, and faceting

BM25 scoring and custom tokenizers to enhance search relevance

Support for hybrid search combining vector and keyword queries

Zero-ETL integration with existing PostgreSQL infrastructure and managed services like Amazon RDS, Azure Postgres, and Google Cloud SQL

Direct querying and ingestion of data from S3, GCS, and Azure Blob Storage

Compatibility with the PostgreSQL dialect, eliminating the need to learn a new query language

Automatic index cleanup integrated with PostgreSQL's vacuum process

Target Audience

ParadeDB targets enterprises and developers using PostgreSQL who need real-time search and analytics capabilities without the complexity and overhead of separate systems.

ParadeDB - Funding: $500K+ | StartupSeeker