Data Stack

In this post we're going to go through JavaScript frameworks and libraries that you can use to visualize your data.

Understanding front-end data visualization tools ecosystem in 2021

Many of our customers ask us which data warehousing option is cheaper: BigQuery or Redshift? In this blog post, we’re going to break down BigQuery vs Redshift pricing structures and see how they work in detail.

BigQuery vs Redshift: Pricing Strategy

There are many open source ETL tools and frameworks, but most of them require writing code. Since data engineers are not necessarily good programmers, you can try visual ETL to directly connect them with data.

Open Source ETL: Apache NiFi vs Streamsets

Most of the modern data warehouse solutions allow you to redefine your analytics on the fly without a need to re-ingest your data stored in a warehouse. In this post, we would like to dig deeper into the factors to consider while choosing a data warehouse.

Choosing Between Modern Data Warehouses

With the advent of modern cloud-based data warehouses, such as BigQuery or Redshift, the traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.

ETL vs ELT: Considering the Advancement of Data Warehouses

Despite the fact that an ETL task is pretty challenging when it comes to loading Big Data, there’s still the scenario in which you can load terabytes of data from Postgres into BigQuery relatively easy and very efficiently.