Amazon AuroraAmazon
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DqliteCanonical
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Related Products
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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.
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About
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.
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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
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
DevOps teams, developers, system administrators, etc. seeking a solution to manage their cloud operations
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Audience
IT departments and enterprises requiring an embedded SQL database software for fault-tolerant IoT and Edge devices to keep applications running
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.02
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rds/aurora/
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Company InformationCanonical
Founded: 2010
United Kingdom
dqlite.io
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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
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Integrations
PostgreSQL
Supported
AWS Auto Scaling
Supported
Adverity
Supported
Amazon Fresh
Supported
Aqua Data Studio
Supported
Bold BI
Supported
CompareData
Supported
DBmarlin
Supported
Dataedo
Supported
EverSQL
Supported
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Integrations
PostgreSQL
Supported
AWS Auto Scaling
Not Supported
Adverity
Not Supported
Amazon Fresh
Not Supported
Aqua Data Studio
Not Supported
Bold BI
Not Supported
CompareData
Not Supported
DBmarlin
Not Supported
Dataedo
Not Supported
EverSQL
Not Supported
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