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4 posts tagged with "faunadb"

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· 9 min read
Enes Akar

Next.js enables developers to build full stack applications with the Server Side Rendering capability. Vercel and Netlify help them to write the backend API with serverless functions. So the next question is what is the ideal database for Next.js apps. In this post, I will review the databases which are popular among the Next.js community. I will comment on how they fit the serverless model. Two things to check:

  • Serverless pricing: Is the price pay-per-use? When the database is not in use, do you still have to pay?
  • Serverless connections: Is there support for HTTP based connections? So there should not be any connection problems which are common with serverless functions.

· 7 min read
Enes Akar

Serverless is great for developers who want to build an application end to end with lowest maintenance and financial cost. Serverless functions enable you to run your own code without maintaining the backend infra. But they are stateless by design so you need an external data store. So the next question is which databases are best fit for serverless? The good news is database vendors see the serverless trend and they are either launching either serverless offerings or trying to adapt their product. In this article, I will first list the things that make a database great for serverless. Then I will list the database that I personally think to be candidates to be the great database for Serverless.

· 4 min read
Enes Akar

We built a sample application which compares the performance of leading serverless databases using a common web use case and serverless functions. The databases are DynamoDB, MongoDB (Atlas), Firestore, Cassandra (Datastax Astra), FaunaDB and Redis (Upstash)

· 10 min read
Noah Fischer

In this article, I will compare the latencies of three serverless databases DynamoDB, FaunaDB, Upstash (Redis) for a common web use case.

I created a sample news website and I am recording database related latency with each request to the website. Check the website and the source code.

I have inserted 7001 NY Times articles into each database. The articles are collected from New York Times Archive API(all articles of January 2021). I randomly scored each article. At each page request, I query top 10 articles under the World section from each database.