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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Macrometa vs Squids

Macrometa vs Squids

OverviewComparisonAlternatives

Overview

Macrometa
Macrometa
Stacks1
Followers2
Votes0
Squids
Squids
Stacks1
Followers1
Votes0

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Detailed Comparison

Macrometa
Macrometa
Squids
Squids

It is a noSQL database, Pub/Sub, Event Processing, and computing platform for building geo-distributed applications.

It is a free cloud DBaaS platform, a database solution for both public and private clouds.

Blazing fast -> 50ms P90 round trip response time, globally; No glue code -> serverless everything; Converged platform -> seamless dev experience
Multi-cloud; Config optimization; Security permissions; Multiple database copies and automatic failover; Diverse database
Statistics
Stacks
1
Stacks
1
Followers
2
Followers
1
Votes
0
Votes
0
Integrations
No integrations available
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Redis
Redis
MySQL
MySQL

What are some alternatives to Macrometa, Squids?

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Azure Cosmos DB

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Serverless

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

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