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ease
features
design
support

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Write a Review

Description

PostgreSQL offers unparalleled performance and endless possibilities. PostgreSQL Data Access Components is a collection of components that provide native connectivity to PostgreSQL using C++Builder and Delphi. It also includes Lazarus (and Free Pascal), for 32-bit and 64 bit platforms. PgDAC was created to allow programmers to create lightweight, faster and cleaner PostgreSQL databases applications without having to deploy additional libraries. PgDAC is an alternative to standard PostgreSQL connectivity solutions. It offers an efficient alternative to standard dbExpress drivers and the Borland Database Engine. It allows direct access to PostgreSQL with no need for the PostgreSQL client. PgDAC allows developers optimize their database applications and take advantage of the full capabilities offered by PostgreSQL.

Description

PostgresML serves as a comprehensive platform integrated within a PostgreSQL extension, allowing users to construct models that are not only simpler and faster but also more scalable directly within their database environment. Users can delve into the SDK and utilize open-source models available in our hosted database for experimentation. The platform enables a seamless automation of the entire process, from generating embeddings to indexing and querying, which facilitates the creation of efficient knowledge-based chatbots. By utilizing various natural language processing and machine learning techniques, including vector search and personalized embeddings, users can enhance their search capabilities significantly. Additionally, it empowers businesses to analyze historical data through time series forecasting, thereby unearthing vital insights. With the capability to develop both statistical and predictive models, users can harness the full potential of SQL alongside numerous regression algorithms. The integration of machine learning at the database level allows for quicker result retrieval and more effective fraud detection. By abstracting the complexities of data management throughout the machine learning and AI lifecycle, PostgresML permits users to execute machine learning and large language models directly on a PostgreSQL database, making it a robust tool for data-driven decision-making. Ultimately, this innovative approach streamlines processes and fosters a more efficient use of data resources.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PostgreSQL Yes 
Amazon RDS Yes 
Apache Superset No 
C# No 
C++ No 
ChatGPT No 
Elixir No 
Falcon No 
Java No 
Julia No 
Jupyter Notebook No 
Llama No 
Llama 2 No 
Mistral Small No 
Mixtral 8x7B No 
OpenAI No 
Oracle Cloud Infrastructure Yes 
Rust No 
Tableau No 
Visual Studio Code No 

Integrations

PostgreSQL Yes 
Amazon RDS No 
Apache Superset Yes 
C# Yes 
C++ Yes 
ChatGPT Yes 
Elixir Yes 
Falcon Yes 
Java Yes 
Julia Yes 
Jupyter Notebook Yes 
Llama Yes 
Llama 2 Yes 
Mistral Small Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Oracle Cloud Infrastructure No 
Rust Yes 
Tableau Yes 
Visual Studio Code Yes 

Pricing Details

$199.95 per year
Free Trial Yes 
Free Version No 

Pricing Details

$.60 per hour
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Devart

Founded

1997

Country

Czech Republic

Website

www.devart.com/pgdac/

Vendor Details

Company Name

PostgresML

Website

postgresml.org

Product Features

Product Features

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