Amazon AuroraAmazon
|
||||||
Related Products
|
||||||
About
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.
|
About
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
DevOps teams, developers, system administrators, etc. seeking a solution to manage their cloud operations
|
Audience
Professional users and anyone in need of a tool for building scalable models right inside their database
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$0.02
Free Version
Not Supported
Free Trial
Supported
|
Pricing
$.60 per hour
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rds/aurora/
|
Company InformationPostgresML
postgresml.org
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Database Features
Backup and Recovery
Supported
Creation / Development
Supported
Data Migration
Supported
Data Replication
Supported
Data Search
Supported
Data Security
Supported
Database Conversion
Supported
Mobile Access
Supported
Monitoring
Supported
NOSQL
Not Supported
Performance Analysis
Supported
Queries
Supported
Relational Interface
Supported
Virtualization
Supported
RDBMS Features
Backup
Supported
Data Migration
Supported
Monitoring
Supported
Performance Analysis
Supported
Queries
Supported
Storage Optimization
Supported
Relational Database Features
ACID Compliance
Supported
Data Failure Recovery
Supported
Multi-Platform
Supported
Referential Integrity
Supported
SQL DDL Support
Supported
SQL DML Support
Supported
System Catalog
Supported
Unicode Support
Supported
|
||||||
Integrations
PostgreSQL
Supported
Adverity
Supported
Amazon Q Business
Supported
BERT
Not Supported
C#
Not Supported
CompareData
Supported
Delphix
Supported
Heimdall Data
Supported
Llama
Not Supported
Mathstral
Not Supported
|
Integrations
PostgreSQL
Supported
Adverity
Not Supported
Amazon Q Business
Not Supported
BERT
Supported
C#
Supported
CompareData
Not Supported
Delphix
Not Supported
Heimdall Data
Not Supported
Llama
Supported
Mathstral
Supported
|
|||||
|
|
|