Is Snowflake SQL or NoSQL? The Clear Answer

Snowflake is SQL, not NoSQL. It is a relational cloud data warehouse. You create tables, you write standard SQL, and you get ACID transactions.

The confusion comes from one feature. Snowflake can store JSON and other semi structured data inside a column and query it with SQL. That is a NoSQL style capability inside a SQL database.

So the accurate sentence is this. Snowflake is a relational SQL system that handles semi structured data well. It is not a document store like MongoDB or a wide column store like Cassandra.

Snowflake Compared to a NoSQL Database

FeatureSnowflakeTypical NoSQL store
Query languageStandard SQLOwn API or query language
Data modelTables, rows, columnsDocuments, key value, wide column
SchemaDefined, with a flexible column typeOften schema free
TransactionsACIDVaries, often limited
JoinsFull supportLimited or none
Built forAnalytics over large dataFast reads and writes per key
ScalingStorage and compute scale apartUsually scale by adding nodes

Why People Ask If Snowflake Is NoSQL

Three features make it look NoSQL from outside.

The VARIANT column type. Snowflake has a column type called VARIANT that holds JSON, Avro, ORC, Parquet or XML. You load the raw data and query inside it later.

Schema on read. You do not have to flatten a JSON file before you load it. You can load first and shape it in your query.

Cloud native design. Snowflake separates storage from compute and runs on AWS, Azure and Google Cloud. Many people link that design to NoSQL systems, but it is not the same thing.

Underneath, Snowflake stores data in a columnar format in small immutable files called micro partitions. That is a warehouse design, not a document store design.

How Querying JSON Works

Say you load a JSON payload into a VARIANT column named payload. You then read fields with a path expression.

SELECT payload:user.id::string AS user_id, payload:event_type::string AS event_type FROM raw_events WHERE payload:amount::number > 100;

The colon walks into the JSON. The double colon casts the value to a type.

You can also expand an array into rows with the FLATTEN function. After that, it is normal SQL with joins and aggregates.

What Snowflake Is Used For

  • Analytics and reporting. The main use. Business intelligence tools connect to it and run SQL.
  • A central data warehouse. Teams load data from many systems into one place.
  • Data engineering pipelines. Tasks, streams and stored procedures transform data inside Snowflake.
  • Data sharing. Snowflake can share a live dataset with another account without copying the data.
  • Machine learning data preparation. Snowpark lets you write Python, Java or Scala against the same data.

What Snowflake is not built for is high volume single row lookups, like serving a user profile on every page load. A key value store handles that far better.

Snowflake Compared to SQL Server

Both speak SQL, but they are built for different jobs.

SQL Server is a general purpose relational database. It handles transactions, small fast writes and application workloads.

Snowflake is an analytics warehouse. It reads huge tables fast and charges you for compute time while a virtual warehouse runs.

You would not replace SQL Server with Snowflake for an order taking app. You would send that app's data into Snowflake for analysis.

How to Say This in an Interview

Give the short answer first. Then add the nuance.

"Snowflake is a relational SQL warehouse. It supports semi structured data through the VARIANT type. That covers some NoSQL use cases without being a NoSQL database".

That one pair of sentences shows you understand both labels. Then be ready for the follow up, which is usually when you would pick a warehouse over a document store.

How to Prepare

TAGS
System Design Fundamentals
System Design Interview
CONTRIBUTOR
Arslan Ahmad
Arslan Ahmad
ex-FAANG engineering manager and author or Grokking series.

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