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Aiven for PostgreSQL Features

What are the features of Aiven for PostgreSQL?

Database Features

Storage
Availability
Stability
Scalability
Security
Data Manipulation
Query Language

Technology Glossary Features

View definitions of the features and discover new technology terms.

View Glossary

Data Modeling

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

Data Manipulation

Data manipulation is changing data to a readable format. This G2 guide provides in-depth information about data manipulation, its types, benefits, and best practices.

Aiven for PostgreSQL Categories on G2

Relational Databases

Database Management Systems (DBMS)

Relational Databases

Database Management Systems (DBMS)

Filter for Features

Database Features

Storage		Based on 19 Aiven for PostgreSQL reviews.	84% (Based on 19 reviews)
Availability		This feature was mentioned in 21 Aiven for PostgreSQL reviews.	87% (Based on 21 reviews)
Stability		This feature was mentioned in 21 Aiven for PostgreSQL reviews.	86% (Based on 21 reviews)
Scalability		As reported in 18 Aiven for PostgreSQL reviews.	88% (Based on 18 reviews)
Security		Based on 20 Aiven for PostgreSQL reviews.	83% (Based on 20 reviews)
Data Manipulation	See feature definition	As reported in 16 Aiven for PostgreSQL reviews.	88% (Based on 16 reviews)
Query Language		This feature was mentioned in 17 Aiven for PostgreSQL reviews.	89% (Based on 17 reviews)

Maintenance

Data Migration	Allows data movement from one database to another.	Not enough data
Backup and Recovery	Provides data backup and recovery functionality to protect and restore a database.	Not enough data
Multi-User Environment	Allows users to access and work on data concurrently, supporting several views of the data.	Not enough data

Management

Data dictionary		Stores the database metadata, that is the definitions of data elements, types, relationships etc.	Not enough data
Data Replication		Creates a copy of the database to maintain consistency and integrity.	Not enough data
Query Language		Allows users to create, update and retrieve data in a database.	Not enough data
Data Modeling	See feature definition	Defines the logical design of the data before building the schemas.	Not enough data
Performance Analysis		Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.	Not enough data

Security

Data Encryption	Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.	Not enough data
User Access Control	Allows restricted user acess to modify depending on the access level.	Not enough data
Database Locking	Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.	Not enough data
Access Control	Allows permissions to be granted or revoked in the database, schema or table levels.	Not enough data
Encryption	Built-in native encryption with enterprise key management.	Not enough data
Authentication	Provides multi-factor authentication with certificates.	Not enough data

Support

Text Search	Provides support for international character sets and full text search.	Not enough data
Data Types	Supports multiple data types like primitive, structured, document etc.	Not enough data
Languages	Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.	Not enough data
Operating Systems	Available on multiple operating systems like Linux, Windows, MacOS etc.	Not enough data

Performance

Disaster Recovery	Provides data recovery functionality to protect and restore data in a database.	Not enough data
Data Concurrency	Allows multi-version concurrency control.	Not enough data
Workload Management	Handles workloads, from single machines to data warehouses or web services with many concurrent users.	Not enough data
Advanced Indexing	Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.	Not enough data
Query Optimizer	Helps interpret SQL queries and determine the fastest method of execution.	Not enough data

Management

Data Schema	Data is organized as a set of tables with columns and rows like a table structure.	Not enough data
Query Language	Allows users to create, update and retrieve data in a database.	Not enough data
ACID - Complaint	Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.	Not enough data
Data Replication	Provides log-based or/and trigger-based replication.	Not enough data