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Sngine
  • Regular: $89 for life-time license, life-time updates, 6 months support package, all features included, installation service and use in an end product that's not sold.
  • Extended: $199 for life-time license, life-time updates, 6 months support package, all features included, installation service and use in an end product that's sold.
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Wowonder
  • Basic: $99 for life-time license, life-time updates, 6 months support package, all features included, installation service and resell the code to a client.
  • Advanced: $165 for life-time license, life-time updates, 1 year support package, all features included, installation service and resell the code to a client.
  • Extended: $299 for life-time license, life-time updates, 6 months support package, all features included, installation service and resell the code to a client.
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Google RDS for MySQL
  • It supports all major versions of MySQL and provides full compatibility for your MySQL applications and tools.
  • It handles routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair.
  • It provides high availability and reliability with the regional or cross-region replication option and automatic failover.
  • It automatically encrypts data at rest and in transit, and integrates with GCP security services such as IAM, KMS, and Cloud Audit Logs.
  • It supports migration from MySQL databases using various tools and methods, such as Database Migration Service (DMS), Cloud SQL Import/Export, or native MySQL replication.
  • It offers performance improvements with features such as automatic storage increase, point-in-time recovery, performance insights, and Cloud SQL Insights.
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AWS Aurora for MySQL
  • It supports up to 5X the throughput of MySQL and 3X the throughput of PostgreSQL on similar hardware, using various software and hardware techniques to optimize the database engine.
  • It provides high availability and durability with the Multi-AZ deployment option and Read Replicas for scaling out read-heavy workloads. It also supports cross-region read replicas and global databases for fast local reads and disaster recovery.
  • It automatically encrypts data at rest and in transit, and integrates with AWS security services such as IAM, KMS, and CloudTrail. It also supports encryption of data in use with AWS Nitro Enclaves.
  • It is fully managed by AWS, which handles routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair. It also supports serverless configuration, which automatically starts up, shuts down, and scales capacity based on your application's needs.
  • It supports migration from MySQL databases using various tools and methods, such as AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), or native MySQL replication.
  • It is cost-effective and pay-as-you-go, allowing you to pay only for what you use with no minimum fees. You can also save money by using Reserved Instances or Savings Plans.
  • It supports developer productivity with features such as custom database endpoints, parallel query, fast insert, backtracking, clone, performance insights, enhanced monitoring, and Aurora Machine Learning.
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AWS RDS for MySQL
  • It handles routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair.
  • It allows you to use the AWS Management Console, the Amazon RDS Command Line Interface, or simple API calls to access and manage your database instance.
  • It provides high availability and reliability with the Multi-AZ deployment option and Read Replicas for scaling out read-heavy workloads.
  • It supports Amazon RDS Blue/Green Deployments that enable you to make safer, simpler, and faster database updates with zero data loss.
  • It automatically encrypts data at rest and in transit, and integrates with AWS security services such as IAM, KMS, and CloudTrail.
  • It offers performance improvements with Amazon RDS Optimized Writes and Reads that can boost write transaction throughput by up to 2x and query processing by up to 50%.
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DigitalOcean PostgreSQL

DigitalOcean PostgreSQL. DigitalOcean PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with DigitalOcean. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use DigitalOcean PostgreSQL with any application or tool that supports PostgreSQL.

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Azure PostgreSQL

Azure PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with Microsoft Azure. It is a fully managed database as a service with built-in capabilities, such as high availability and intelligence. You can use Azure PostgreSQL with any application or tool that supports PostgreSQL.

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Google SQL for PostgreSQL

Google SQL for PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with Google Cloud Platform. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use Google SQL for PostgreSQL with any application or tool that supports PostgreSQL.

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AWS Aurora PostgreSQL

AWS Aurora PostgreSQL is a relational database service that is compatible with PostgreSQL and offers performance and availability improvements over standard PostgreSQL. AWS Aurora PostgreSQL is built on a distributed storage system that automatically scales up to 128 TiB and replicates data across multiple Availability Zones.

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AWS RDS for PostgreSQL

AWS RDS for PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with Amazon Web Services. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use AWS RDS for PostgreSQL with any application or tool that supports PostgreSQL. AWS RDS for PostgreSQL supports several versions of PostgreSQL, from 9.6 to 15, and offers features such as SSL/TLS encryption, Kerberos authentication, and Trusted Language Extensions.

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Mongodb Atlas

MongoDB Atlas is a fully managed cloud database service that lets you run MongoDB on AWS, Azure, or Google Cloud Platform. It handles the provisioning, scaling, updates, backups, and security of your MongoDB clusters. It also provides features like data federation, charts, BI connector, online archive, app services, and support.

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DigitalOcean Managed MongoDB

Digital Ocean MongoDB is a fully managed database as a service (DBaaS) that lets you run and scale MongoDB clusters on Digital Ocean. It is built in partnership with and certified by MongoDB Inc. It simplifies your MongoDB administration by handling the provisioning, scaling, updates, backups, and security of your MongoDB clusters. You can access the latest MongoDB features such as hedged reads, Rust, Swift drivers, and 100% dedicated vCPUs.

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10 popular VPS providers comparison

VPS stands for Virtual Private Server, which is a form of cloud hosting that allows you to have your own isolated virtual environment on a physical server. You can configure and manage your VPS according to your needs and preferences, and you can also access dedicated resources such as CPU, RAM, storage, bandwidth and IP address. VPS hosting is suitable for medium or large-scale online projects that require more control, performance and security than shared hosting.

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Managed Mongodb: Atlas vs DigitalOcean vs ObjectRocket

Managed MongoDB is a cloud-based database service that provides everything you need to run MongoDB without having to worry about the infrastructure, database engine, management tools, or licensing¹. It automates tasks such as provisioning, scaling, updating, backing up, and securing your MongoDB clusters, so you can focus on building your applications². Some of the benefits of using managed MongoDB are:

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Mongodb Serverless vs Dedicated(Managed)
  • Cost efficiency: You only pay for the resources that you use based on your workload demand.
  • Automated scalability: You don't need to worry about choosing a cluster size or configuration, as the database will scale up and down automatically and instantly.
  • Smoother operations: You don't need to manage servers, clusters, backups, patches, and other infrastructure tasks that can be tedious and error-prone.
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Top 10 Serverless Databases

A serverless database is any database that follows the core principles of the serverless computing paradigm. The core principles of serverless computing include :

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PostgreSQL: AWS RDS vs. Aurora vs. Google Cloud SQL
Firewall: Google Cloud Armor vs. AWS WAF vs. Cloudflare WAF
Object Storage: AWS s3 vs. Google Cloud Storage vs. Azure Blob Storage vs. DigitalOcean Spaces
Cheap VPS comparison
CDN comparison: CloudFront vs AWS CloudFront
CloudFlare CloudFront
Monthly fee $0 for Free plan<br>$20 for Pro plan<br>$200 for Business plan
Bandwidth Free
HTTP requests Free
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Cloud Computing: AWS EC2 vs. GCP Compute vs. Azure VM

AWS&Azure memory pricing were calculated from the pricing difference between General and Memory optimized instances. CPU Pricing is based on General/Memory optimized instance, not Compute optimized.

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Compare cloud platforms with easy pricing table
AWS GCP Azure Oracle DigitalOcean
2cpu + 16G memory instance $0.133/hr $0.126/hr $0.126/hr $0.06/hr
$95.7/mo $90.7/mo $90.7/mo $45/mo
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AWS ec2 vs AWS Lambda

AWS EC2 and AWS Lambda are two different services offered by Amazon Web Services for running applications in the cloud. AWS EC2 is a traditional cloud computing service that allows you to create and manage virtual machines (called EC2 instances) with different configurations of CPU, memory, disk space, operating system and applications. AWS Lambda is a serverless computing service that allows you to run code (called Lambda functions) written in one of the supported programming languages (Java, JavaScript or Python) without worrying about provisioning, scaling or managing servers.

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