Best data warehouse on Reddit

32 reviews from r/dataengineering, r/SQL, r/PowerBI and 2 more subreddits

32 reviews from
and
By Brand
/
By Product
#1

Snowflake

4.6
(7)
"If you’re not concerned about cost then I would go Snowflake all day."
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"Using Snowflake with DynamoDB CDC data via Kinesis Firehose works great."
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"Snowflake is one of the most widely used and simple-to-use data warehouses, offering flexibility and cloud-agnostic capabilities."
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"It’ll easily handle the load and data size at the scale you’re suggesting and it won’t be that expensive."
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"Snowflake is my preferred - it just works, it works WELL, but it can be pricey if you do things wrong."
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"Easy to manage, but expensive."
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"We use Snowflake where I work!"
#2

Google

4.6
(7)
"BigQuery is a powerful tool for data analysis."
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"KSPZY BQ is cheaper than Snowflake and offers a free tier for small users."
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"Pretty hard to beat at $6.25 per tb."
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"BigQuery is a viable option alongside Snowflake for data warehousing."
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"BigQuery offers a pricing model similar to freemium, making it accessible for various analytics needs."
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"Powerful for data pipelines and lakehouse architecture."
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"Google BigQuery will do just fine at scale."
#3

Amazon

3.6
(5)
"DynamoDB's CDC Stream allows seamless integration with various data warehouses."
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"Excellent for data warehousing and analytics."
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"Redshift could potentially be cheaper, but honestly don’t worry about it and go for Snowflake."
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"Requires a lot of settings management."
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"Redshift is kind of lagging behind and it's a pain to configure."
#4

PostgreSQL

3.5
(2)
"A Postgres database is suitable for small data warehouses, offering cost control and scalability."
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"Running a PostgreSQL instance is a viable alternative if query performance is not a key consideration."
#5

Databricks

3.0
(2)
"It's way cheaper than Snowflake and more or less same performance on most things."
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"Challenging for startups without a strong devops team."
#6

Wiley

5.0
(1)
"This is your new bible. All 3 volumes."
#7

Keboola

5.0
(1)
"Keboola offers a comprehensive solution for data warehousing, orchestration, and transformations with numerous pre-built connectors."
#8

Looker

5.0
(1)
"Looker provides great visualization capabilities."
#9

Fivetran

5.0
(1)
"One of the best, expensive but easy to setup."
#10

AWS Redshift

4.0
(1)
"I'd recommend AWS Redshift (or a similar service in one of the other clouds)."
#11

Microsoft Azure

4.0
(1)
"I'd recommend the Azure Eco System, On Prem > Azure Data Factory > Databricks > Azure SQL dB > PowerBI."
#12

Microsoft

4.0
(1)
"Great resources on MS Fabric for data management."
#13

BigQuery

4.0
(1)
"Much cheaper than Snowflake if you manage storage."
#14

Singer

2.0
(1)
"Cheap but has bad support."

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