Building a single source of truth is essential to rapid data-driven decision-making. However, this involves investing time, money, and talent into creating and managing a complex architecture that can integrate and prepare disparate data. While ETL and ELT solutions have remained popular buzzwords within the data management space, many businesses are considering going serverless to experience greater agility, flexibility, and scalability.
In this article, we explore serverless data integration and how it can help enterprises build high-quality data pipelines faster with zero administrative workloads.
What is Serverless Data Integration?
Serverless Data Integration is a new technology that allows data to store and accessed in a distributed manner on vendor-maintained servers, instead of on-premise service. There is no infrastructure management involved, meaning that you ingest and prepare data without requiring an administrator to manage or maintain the servers.
Since serverless data integration is a service, you only charge for computational usage. This saves time and allows you to scale up or down depending on the need.
What are the advantages of going serverless for data integration?
Serverless data integration offers excellent scalability, flexibility, and agility-related benefits over on-premise data integration. This translates into more efficient data pipelines and faster time-to-insights with accelerated BI and data analytics.
Let’s take a look at the key advantages of investing in serverless data management:
1. Serverless usage at scale
Going serverless not only means less complexity, but it also allows you the flexibility to operate at a massive scale without having to buy additional servers to manage peaks. With zero server footprint, you essentially pay for what you use only and save yourself from the administrative legwork.
2. Kickstart integration projects quickly
With serverless data integration, you can prepare and put your data to use in minutes instead of months. Everything is set up on the servers maintained by the vendor. Which means that you can design and execute your data pipelines faster without having to worry about installing and configuring servers.
3. High availability and fault tolerance
Since serverless data integration leverages the robust architecture of solutions like AWS Lambda, Google Cloud Platform, and Microsoft Azure, you can rest assured that your data pipelines will be up and running without any service interruptions. These vendors provide excellent high availability, failover support, and fault tolerance.
4. Lower costs with consumption-based pricing
With serverless data integration, you pay only for the resources that you consume and do not incur any costs for the time when your application is sitting idle. This translates into greater price transparency and lowers costs.
Go Serverless with Zaavya’s One Data Haus
Zaavya offers a completely cloud-native, serverless data platform for enterprises looking to modernize their legacy applications and move them to the cloud. Leveraging AWS’s robust architecture, we help you design, deploy, and execute applications for advanced data use cases on the cloud.
With consumption-based pricing, auto-tuning, high availability. Zero server footprint, our data platform ONE Data Haus allows you to future-proof your solutions and enable data-driven decision-making.
Interested in learning more, head over to our website to gather more information: https://www.zaavya.com/.
