FaunaDB vs MSSQL

Overview

MSSQL

Stacks1.0K

Followers417

Votes3

Fauna

Stacks112

Followers153

Votes27

MSSQL vs FaunaDB: What are the differences?

What is MSSQL? It is an enterprise-level database system that is very popular for Windows web servers. It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.

What is FaunaDB? The database built for serverless, featuring native GraphQL. FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness and scale. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.

MSSQL and FaunaDB can be primarily classified as "Databases" tools.

Some of the features offered by MSSQL are:

Resumable online index rebuild
SQL Server machine learning services
Query processing improvements

On the other hand, FaunaDB provides the following key features:

Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.
Access all data via a data model that best suits your needs - relational, document, graph or composite.
A unique approach to indexing makes it simpler to write efficient queries that scale with your application.

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Advice on MSSQL, Fauna

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

Sdev

Jun 12, 2020

Needs adviceon

MSSQL

MySQL

We are planning to migrate one of my applications from MSSQL to MySQL. Can someone help me with the version to select?. I have a strong inclination towards MySql 5.7. But, I see there are some standout features added in Mysql 8.0 like JSON_TABLE. Just wanted to know if the newer version has not compromised on its speed while giving out some add on features.

424k views424k

Comments

Anonymous

Nov 26, 2019

Decided

I happen to point my asp.net core web application from MSSQL to MySQL due to infrastructure costs associated with the former db. The application also had challenges creating a migration schema of asp.net membership on MySQL.

After a thorough research I figured out how to do it and also made a video and uploaded to youtube. You can check that here https://youtu.be/X4I0DUw6C84

The full source code for the demo template is available on github here http://bit.ly/2LWgacA

196k views196k

Comments

Detailed Comparison

MSSQL	Fauna
It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.	Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases.
Resumable online index rebuild; SQL Server machine learning services; Query processing improvements; Automatic database tuning; TempDB file size improvements; Smart differential backup; Smart transaction log backup.	Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.; Access all data via a data model that best suits your needs - relational, document, graph or composite.; A unique approach to indexing makes it simpler to write efficient queries that scale with your application.; Build SaaS apps more easily with native multi-tenancy and query-level QoS controls to prevent workload collisions.; Eliminate data anomalies with multi-region ACID transactions that don't limit number of keys or documents.; Data-driven RBAC that combines with SSL to offers reliable protection, and yet is simple to understand and codify.; Travel back in time with temporal querying. Run queries at a point-in-time or as change feeds. Track how your data evolved.; Dynamically replicates your data to global locations, so that your queries run fast no matter where your users are.; Easily deploy a FaunaDB cluster on your workstation accompanied by a powerful shell and tools to simplify your workflow.;
Statistics
Stacks 1.0K	Stacks 112
Followers 417	Followers 153
Votes 3	Votes 27
Pros & Cons
Pros 3 Easy of use Cons 1 Vendor lock-in 1 License Cost	Pros 5 100% ACID 4 Generous free tier 4 Removes server provisioning or maintenance 3 Low latency global CDN's 3 Also supports SQL, CQL Cons 1 Susceptible to DDoS (& others) use timeouts throttling 1 Log stack traces to avoid improper exception handling 1 Must keep app secrets encrypted
Integrations
MySQL PostgreSQL Oracle SQLite	No integrations available

What are some alternatives to MSSQL, Fauna?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

Some of the features offered by MSSQL are:

Resumable online index rebuild
SQL Server machine learning services
Query processing improvements

On the other hand, FaunaDB provides the following key features:

Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.
Access all data via a data model that best suits your needs - relational, document, graph or composite.
A unique approach to indexing makes it simpler to write efficient queries that scale with your application.

FaunaDB vs MSSQL