The Data Trinity

Data Integration Data Dashboard Data Management

Looker Landing Page

1

Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

This component of the trinity is mainly involved in synthesis and displaying of business value. This is where the business intelligence analyst, data analyst, data scientist and business executives operate. They use the extracted loaded and transformed data to answer business questions and produce actionable insights. The software artifacts in this level often have visualization, query and reporting tools. Common tools in this level are business intelligence software such as Looker, PowerBi and Tableau among others. The best and most robust features in any of these tools are on a paid tier and hence, costs are definitely a consideration. Whether you would want it on your private server or on a public cloud that the vendor can setup for you, is also a choice depending on your data policy.

#Data Dashboard #Business Intelligence #Data Visualization 14 social mentions
Fivetran Landing Page

2

Fivetran

Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

If your company is price sensitive, you might opt for a free open source tool such as Airbyte but absorb the engineering costs of setup and maintenance. If your company wishes to focus their engineering resources on other tasks other than extraction and loading, they can use a managed service like Fivetran where they pay for the service.

#Data Integration #ETL #Data Replication 12 social mentions
Google BigQuery Landing Page
3

Google BigQuery

A fully managed data warehouse for large-scale data analytics.
Pricing:
- Open Source
The storage component is simply where the data lives after extraction and loading. The most common artifact is a data warehouse or data lake depending on conceptual design. The most common services in this category are AWS Redshift, Google cloud Big query and Snowflake.

#Data Management #Data Warehousing #Data Dashboard 35 social mentions
Amazon Redshift Landing Page

4

Amazon Redshift

Learn about Amazon Redshift cloud data warehouse.

The storage component is simply where the data lives after extraction and loading. The most common artifact is a data warehouse or data lake depending on conceptual design. The most common services in this category are AWS Redshift, Google cloud Big query and Snowflake.

#Big Data #Databases #Relational Databases 26 social mentions
Airbyte Landing Page
5

Airbyte

Replicate data in minutes with prebuilt & custom connectors
Pricing:
- Open Source
If your company is price sensitive, you might opt for a free open source tool such as Airbyte but absorb the engineering costs of setup and maintenance. If your company wishes to focus their engineering resources on other tasks other than extraction and loading, they can use a managed service like Fivetran where they pay for the service.

#Developer Tools #Tech #Data Integration 44 social mentions