Software Alternatives, Accelerators & Startups

DreamFactory VS Amazon RDS for PostgreSQL

Compare DreamFactory VS Amazon RDS for PostgreSQL and see what are their differences

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DreamFactory logo DreamFactory

DreamFactory is an API management platform used to generate, secure, document, and extend APIs.

Amazon RDS for PostgreSQL logo Amazon RDS for PostgreSQL

PostgreSQL as a Service
  • DreamFactory Landing page
    Landing page //
    2024-10-01

DreamFactory is an API management platform used to generate, secure, document, and extend APIs. The platform is used within a wide variety of sectors, including banking, auto manufacturing, online gaming, consulting, and government.

Perhaps best known for its API generation capabilities, the platform can generate APIs for 20 databases including MySQL, Microsoft SQL Server, Oracle, and MongoDB, among others. Generators are also available for Excel, AWS S3, email delivery providers, and IoT.

Authentication and security is another core feature. APIs can be authenticated using API keys, Active Directory, LDAP, OAuth, OpenID Connect, SAML 2.0, and Okta. A robust yet convenient set of role-based access controls (RBACs) allow administrators to easily create highly tailored API access rules.

DreamFactory's scripting engine supports PHP, Python (version 2 and 3) and NodeJS. Developers can use the engine to create entirely scripted APIs which incorporate third-party libraries and packages. The scripting engine can also be used to extend existing endpoints, allowing developers to implement API composition, apply data masking and hiding, response transformation, and more.

Recently added features include restricted administrators, API scheduling, API auditing, and API generation connectors for Snowflake, Hadoop, and Apache Hive.

  • Amazon RDS for PostgreSQL Landing page
    Landing page //
    2021-10-29

DreamFactory features and specs

  • Ease of Use
    DreamFactory offers a user-friendly interface that makes it easy to create, manage, and deploy APIs without extensive coding skills.
  • Automatic API Generation
    Generates REST APIs for various data sources automatically, saving development time and reducing potential errors.
  • Wide Database Support
    Supports numerous databases and storage engines, including SQL, NoSQL, and file storage systems, providing great flexibility.
  • Scalability
    Can handle enterprise-level projects, ensuring that APIs can scale easily with growing business needs.
  • Security Features
    Includes robust security features like role-based access, OAuth, Single Sign-On (SSO), and API key management.
  • Cross-Platform
    Works on multiple platforms including Linux, Windows, and Mac, making it versatile for different development environments.
  • Integrations
    Supports integration with numerous third-party services and software, facilitating seamless business operations.
  • Open Source Option
    Offers an open-source version, providing more flexibility and cost savings for developers and organizations.

Possible disadvantages of DreamFactory

  • Learning Curve
    Even though it's user-friendly, there is still a learning curve involved, especially for beginners not familiar with API management.
  • Pricing
    While an open-source version is available, advanced features and enterprise-level support require a paid subscription, which can be costly.
  • Performance Overhead
    In some cases, the additional layers of abstraction can add overhead, potentially affecting performance.
  • Complexity in Advanced Use Cases
    For highly complex or custom scenarios, limitations may arise, requiring additional custom development.
  • Limited Extensions
    Compared to some competitors, the ecosystem of plugins and extensions may be less extensive.
  • Community Support
    The open-source community around DreamFactory is not as large as some other projects, which may limit peer support and available resources.
  • Concurrency Handling
    May require additional configuration or optimization to handle high concurrency situations effectively.

Amazon RDS for PostgreSQL features and specs

  • Managed Service
    Amazon RDS for PostgreSQL is a fully managed service, meaning that AWS handles routine database tasks such as backups, patch management, and failover, reducing the operational burden on users.
  • Scalability
    The service allows for easy vertically scaling of database instances as application demands grow, without requiring downtime. This helps businesses to adapt to changing workloads efficiently.
  • High Availability
    With Multi-AZ deployments, Amazon RDS provides enhanced reliability and availability. It automatically creates a primary database instance and synchronously replicates data to a standby instance in a different Availability Zone.
  • Security Features
    Amazon RDS integrates with AWS Identity and Access Management (IAM) for access control and offers encryption at rest and in transit capabilities, bolstering data security.
  • Backup and Recovery
    Automatic backups, snapshots, and point-in-time recovery simplify data recovery and help ensure that data can be restored to any given second during the retention period.

Possible disadvantages of Amazon RDS for PostgreSQL

  • Cost
    The cost of running a managed service like Amazon RDS can be higher than managing a database in-house, especially for smaller organizations or when optimal configurations are not utilized.
  • Limited Customization
    Since Amazon RDS is a managed service, there are certain limitations on access to the underlying operating system and database configurations, which may hinder some advanced customizations and optimizations.
  • Vendor Lock-In
    Using RDS for PostgreSQL can lead to vendor lock-in, making it difficult for businesses to move away from AWS without incurring data transfer costs or requiring significant re-engineering efforts.
  • Maintenance Windows
    Updates and patches are applied during scheduled maintenance windows, which might cause disruptions if the timing is not properly managed or if unexpected performance issues occur during these periods.
  • Limited Extension Support
    While RDS for PostgreSQL supports a wide range of extensions, not all PostgreSQL extensions are available, potentially limiting additional functionality that might be needed for specialized use cases.

DreamFactory videos

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Amazon RDS for PostgreSQL videos

Amazon RDS for PostgreSQL/Amazon Aurora PostgreSQL Operational Best Practices | AWS Events

Category Popularity

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API Tools
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Databases
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APIs
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Cloud Hosting
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DreamFactory and Amazon RDS for PostgreSQL

DreamFactory Reviews

7 Best NoSQL APIs
DreamFactory is a great choice for developers or businesses who want to create a quick API to work with a NoSQL database. The process couldn’t be easier. Developers only need to provide the database information, and DreamFactory automatically creates a full-fledged REST API or a SOAP API.

Amazon RDS for PostgreSQL Reviews

We have no reviews of Amazon RDS for PostgreSQL yet.
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Social recommendations and mentions

Based on our record, Amazon RDS for PostgreSQL seems to be a lot more popular than DreamFactory. While we know about 16 links to Amazon RDS for PostgreSQL, we've tracked only 1 mention of DreamFactory. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DreamFactory mentions (1)

Amazon RDS for PostgreSQL mentions (16)

  • Kubernetes and Container Portability: Navigating Multi-Cloud Flexibility
    Amazon RDS for MySQL (for managed MySQL) or Amazon RDS for PostgreSQL (for managed PostgreSQL). - Source: dev.to / about 1 month ago
  • Top 8 Managed Postgres Providers
    Amazon RDS is a managed service for relational databases that makes PostgreSQL setup, scaling, and management automatic. This lets developers concentrate on creating applications instead of handling database tasks. - Source: dev.to / 9 months ago
  • Deploying Django Application on AWS with Terraform - Part 1
    Yay! We have now deployed our Django web application with ECS Service + Fargate on AWS. But now it works with SQLite file database. This file will be recreated on every service restart. So, our app cannot persist any data for now. In the next article we’ll connect Django to AWS RDS PostgreSQL. - Source: dev.to / about 1 year ago
  • gactive: Active-active Replication Extension for PostgreSQL on Amazon RDS
    Today, AWS announces the general availability of pgactive: Active-active Replication Extension for PostgreSQL, available for Amazon Relational Database Service (RDS) for PostgreSQL. Pgactive lets you use asynchronous active-active replication for streaming data between database instances to provide additional resiliency and flexibility in moving data between database instances, including writers located in... Source: over 1 year ago
  • Hosting my Software
    Best practice would definitely be setting up a separately hosted database (I swear I'm not an AWS shill) for production as this ensures much better data integrity. Plus it manages backups etc. For you. Source: about 2 years ago
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What are some alternatives?

When comparing DreamFactory and Amazon RDS for PostgreSQL, you can also consider the following products

Postman - The Collaboration Platform for API Development

Application Load Balance - Automatically distribute incoming traffic across multiple targets using an Application Load Balancer.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

AWS CloudTrail - AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.