The cloud has revolutionized the way we store and manage data. However, many companies still rely on manual and archaic processes to collate and process their data. Many of these processes can be fully automated and businesses are more aware that the benefits of investing a bit of time and energy upfront to create a fully automated serverless data pipeline (cloud data integration tool) will free them from numerous headaches, unnecessary resources, and escalating costs in the mid and long term. These are some of the key benefits of building a serverless data pipeline:

  1. SIMPLICITY:

In the words of Leonardo Da Vinci, simplicity is the ultimate sophistication. Using a data integration platform like Rivery, you can set up your data in the cloud without a single line of code. All your data can be aligned and managed efficiently in the cloud. Whether you use Google, AWS, Azure Data Warehouse or Snowflake – once all your data sources are hosted in a single space in the cloud you can forget about data siloes or disjointed insights from different teams that are not aligned.

  1. SPEED:

Data needs in most organizations are constantly changing and evolving. New sources are added and different KPIs are aggregated as businesses evolve. Having the ability to swiftly aggregate all data sources without in-house development is key. Off the shelf enterprise data integrations can save a lot of time and resources, especially in our current environment where new 3rd party platforms are constantly added to the mix – from CRMs to analytics and advertising tools.

  1. SCALE:

One of the key benefits of going serverless is the flexibility to scale and grow. The cloud gives all businesses, big and small, the ability to use what they need and scale without worrying about complex and time-consuming data migrations. This unlimited room for growth also means that you should choose your cloud provider carefully – just as with your bank account, you’re likely to stick with it for years to come.

  1. COST:

The rising costs of in house developers and DevOps to manage data processes has become a bottleneck for many companies trying to modernize and automate their data processes. A serverless data pipeline removes most of these bottlenecks, especially when it comes to updating and maintaining the the database.

  1. CONTROL:

Maintaining a data pipeline (ETL) can be costly and time-consuming, especially when it isn’t automated or hosted in the cloud. This ongoing monitoring process can become a burden, especially when new data sources need to be added and aligned with the rest of the database. A cloud-based ETL pipeline will give you the freedom to focus on insights with the peace of mind that your optimal data pipeline is taken care of and maintained to the highest standard.

As we move into a not-so-distant future where data is at our service, automating the processes to aggregate, manage, process and update data is becoming increasingly important. Orchestrating all data sources under one roof in the cloud is a must for any data-driven company, and a serverless data pipeline is key to focus on analyzing insights and KPIs without being held back by time-consuming or costly processes to manage data.