Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total 4 out of 5 stars
ease 4 out of 5 stars
features 4 out of 5 stars
design 4 out of 5 stars
support 4 out of 5 stars

Alternatives to Consider

  • Google Cloud SQL Reviews & Ratings
    4.5 out of 5 stars 554 Ratings
    Company Website for Google Cloud SQL
  • Comet Backup Reviews & Ratings
    4.5 out of 5 stars 219 Ratings
    Company Website for Comet Backup
  • Gr4vy Reviews & Ratings
    5.0 out of 5 stars 6 Ratings
    Company Website for Gr4vy
  • Retool Reviews & Ratings
    4.6 out of 5 stars 608 Ratings
    Company Website for Retool
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,093 Ratings
    Company Website for Google Cloud Platform
  • Bluepear Reviews & Ratings
    4.8 out of 5 stars 80 Ratings
    Company Website for Bluepear
  • Bacula Enterprise Reviews & Ratings
    4.5 out of 5 stars 125 Ratings
    Company Website for Bacula Enterprise
  • Google Cloud BigQuery Reviews & Ratings
    4.5 out of 5 stars 2,037 Ratings
    Company Website for Google Cloud BigQuery
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi

What is Yandex Managed Service for GitLab?

A robust solution for managing the GitLab DevOps platform within the Yandex Cloud infrastructure is now offered. Each GitLab instance operates on its own dedicated virtual server, guaranteeing that resources remain exclusive to individual clients. Daily backups are in place, ensuring that your data is secure and safeguarded. Yandex Cloud handles all aspects of management, including customer support, updates, and backup operations. You maintain full control over repository modifications and can customize the required review process according to specific target branches and the components of the merge request. Furthermore, you can meticulously manage the workflow of every task. Centralized user management is achievable through a corporate user database, which supports LDAP and other authentication methods. You have the freedom to choose your desired configuration, designate a unique domain, and commence the creation of your instance. After the instance is set up, you can adjust the runtime environment to your specifications and begin interacting with the repository effectively. This service not only streamlines your development workflows but also ensures high levels of security and management efficiency, making it an ideal choice for teams looking to enhance their DevOps practices. With this comprehensive approach, organizations can focus on development without worrying about infrastructure complexities.

What is Amazon Aurora?

Amazon Aurora is a cloud-native relational database designed to work seamlessly with both MySQL and PostgreSQL, offering the high performance and reliability typically associated with traditional enterprise databases while also providing the cost-effectiveness and simplicity of open-source solutions. Its performance is notably superior, achieving speeds up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Moreover, it combines the security, availability, and reliability expected from commercial databases, all at a remarkably lower price point—specifically, only one-tenth of the cost. Managed entirely by the Amazon Relational Database Service (RDS), Aurora streamlines operations by automating critical tasks such as hardware provisioning, database configuration, patch management, and backup processes. This database features a fault-tolerant storage architecture that can automatically scale to support database instances as large as 64TB. Additionally, Amazon Aurora enhances performance and availability through capabilities like up to 15 low-latency read replicas, point-in-time recovery, continuous backups to Amazon S3, and data replication across three separate Availability Zones, all of which improve data resilience and accessibility. These comprehensive features not only make Amazon Aurora an attractive option for businesses aiming to harness the cloud for their database requirements but also ensure they can do so while enjoying exceptional performance and security measures. Ultimately, adopting Amazon Aurora can lead to reduced operational overhead and greater focus on innovation.

Media

Media

Integrations Supported

LDAP

Integrations Supported

AWS Auto Scaling
Alteryx
Amazon Macie
Aqua Data Studio
Bold BI
CorralData
DBmarlin
DashboardFox
Datafi
Kleene
N2WS Backup & Recovery
Opal Security
Scriptcase
Streamkap
TiDB Cloud
Veeam Backup for AWS
VisuaLeaf
Xplenty

API Availability

Has API

API Availability

Pricing Information

$0.012240 per GB
Free Trial Offered?

Pricing Information

$0.02
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

cloud.yandex.com/en/services/managed-gitlab

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rds/aurora/

Categories and Features

Database

Not specified

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Virtualization

Distributed Databases

Not specified

OLAP Databases

Not specified

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

Popular Alternatives

Popular Alternatives

Google Cloud SQL Reviews & Ratings

Google Cloud SQL

Google
4.5 out of 5 stars
Amazon DynamoDB Reviews & Ratings

Amazon DynamoDB

Amazon
5.0 out of 5 stars
Amazon RDS Reviews & Ratings

Amazon RDS

Amazon
4.3 out of 5 stars
SmartGit Reviews & Ratings

SmartGit

syntevo
4.3 out of 5 stars
CockroachDB Reviews & Ratings

CockroachDB

Cockroach Labs
4.0 out of 5 stars