DynamoDb and BigTable are suggested for low latency access use cases. Both are from query-driven database families requiring you to define schema and primary keys based on query patterns. Google Bigtable and Amazon DynamoDB belong to NoSQL Database as a Service category of the tech stack. Not sure which option is better for your needs: Google … Read more
Numerous programs communicate with internal or external systems, including databases and REST APIs. A secret, such as an API key, username, password, or certificate, is typically used to authenticate your program when communicating with another system. This raises the issue of securely providing our program access using the secrets. AWS Secrets Manager and Parameter Store … Read more
Google BigQuery and Microsoft Azure Synapse are two famous Cloud Data Warehouse platforms that share common features, including Columnar Storage and MPP(Massively Parallel Processing) architecture. Here, we will see a detailed comparison between BigQuery and Synapse. What is BigQuery? BigQuery is a fully managed and serverless data warehouse service by Google that allows you to collect data on a large … Read more
While storing data, serverless offerings are becoming increasingly popular. Going serverless lowers deployment, operational, and scaling costs, making it easy to manage resources. Amazon and Google designed excellent serverless database services: Google BigQuery and Amazon Athena. Both are good options for data analysis. In this article, we’ll go over BigQuery and Athena’s differences. What is … Read more
Since the 1980s, the notion of a data warehouse has developed and evolved considerably. Data warehousing has become a unique field due to the corporate world’s rising problems and complexities. It has resulted in improved technology and more stringent data processing. Data warehouses were started with the initial goal of allowing businesses to keep an … Read more
Suppose you’re thinking about getting started with Kubernetes or using it as the basis to deploy apps reliably across the cloud. In that case, you’re probably looking at the top two cloud providers and their Kubernetes services – Google Kubernetes Engine(GKE) and Azure Kubernetes Engine(AKE). But which one of these two is a good choice? … Read more
Companies that are just getting started with their data journey on Azure are debating which cloud data warehouse platform to adopt. Azure Synapse Analytics is default from the Azure stack, but there are always better options like whether a multi-cloud platform like Snowflake is a good match. And even if you are not using any … Read more
PaaS, or platform as a service, is a popular cloud computing concept utilized by millions of enterprises worldwide. As a result, the number of PaaS services available to users has grown dramatically. Netlify and Heroku are two well-known PaaS (Platform as a Service) cloud platforms for hosting websites and web-based applications. The main distinction is … Read more
Although AWS is now the industry leader in the cloud computing market, Google Cloud Platform(GCP) and Microsoft Azure are expanding faster to compete with AWS. With its strong concentration on the enterprise, Microsoft, in particular, is hot on AWS’s tail, and it is the second most used cloud platform. Meanwhile, Google’s footprints continuously grow by … Read more
Cloud computing is the remote delivery of IT services over the Internet, such as computing, storage, database, software, security, networking, and analytics. Cloud computing offers more flexibility, scalability, and security over on-premises infrastructure. There are many popular cloud providers in the market, and two of them are – AWS and DigitalOcean. DigitalOcean mainly focuses on … Read more