Companies rely on data to make important decisions, but an outdated method of data storage can slow down access to this information. A traditional data warehousing approach would store this data on-prem, where storage and processing capacity has little room to grow. Furthermore, the on-prem hardware on which your database runs can fail, driving up costs and disrupting business operations.
The introduction of cloud computing has quickly solved these challenges. The cloud offers the same level of access to hardware as on-prem while reducing the burdens associated with infrastructure management. With improved security, reliability and performance, the cloud is the next logical step for enterprises that store and rely on large datasets.
The cloud has emerged as a boon for enterprise computing but the number of choices on offer can add complexity to your database migration initiatives. Each enterprise will have its computational requirements, meaning no single approach will work for every business.
We understand the importance of business diversity in the market. This vibrancy should not prevent you from accessing the best storage technologies, which is why our consulting services can help you find the optimal choice for your business.
When moving your database to the cloud, there are many avenues to consider, including:
Self-managed databases – Most businesses consider lifting and shifting their database to the cloud and self-manage it. With this approach, you simply pay for access to a remote server with database development and configuration being left to your IT department.
This approach is suited to enterprises that need granular control over their database or forecast a linear trajectory for dataset growth over time. In this case, you would pay for Infrastructure-as-a-Service (IaaS) without any additional management.
Database-as-a-Service – Database-as-a-Service (DBaaS) is a type of managed database service. This approach still utilizes IaaS as a foundation but reduces the requirement for hands-on management further with additional software monitoring and automation. DBaaS is also platform-agnostic, allowing you to link databases from multiple cloud platforms and manage them with a central abstraction layer.
With DBaaS, there are many benefits. The biggest and most immediate benefit is that the database is managed for you alongside the hardware, reducing workloads for IT departments. For enterprises that need reliable database hosting without the complexity of management, DBaaS may be the best option.
On top of these cloud database strategies, you also need to choose a hosting platform for your database. There are numerous options from major and specialist providers, including our partners:
Amazon Web Services (AWS) – Trianz has partnered with AWS, one of the biggest cloud hosting providers. Amazon Aurora provides managed, optimized MySQL, and PostgreSQL RDBMS hosting. If you want an unmanaged service, Amazon S3 provides a simple storage service for object-driven databases.
Microsoft Azure – Trianz is a partner with Microsoft Azure and provides database hosting services on its platform. For unmanaged databases, Azure Blob storage offers scalable object-based storage in the cloud. You can also choose a managed service through the Azure Database for MySQL, PostgreSQL and Microsoft SQL Server.
Snowflake – We have also partnered with Snowflake, a managed DBaaS provider. Snowflake leverages virtual compute instances on AWS, Azure and GCP, meaning they control both the hardware and software for your database.
If your business operations are starting to outgrow your on-prem data center, consider making a move to the cloud. We have helped to orchestrate datacenter migrations for thousands of businesses, including numerous Fortune 1000 companies. Our expertise and experience with the cloud allows us to transform your database deployment, catalyzing business growth and reducing workloads for your IT department.
Our consultants are only a few clicks away. If you are ready to start benefitting from the cloud, get in touch with our experts!
Contact Us Today
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
A Winning Base for Successful Digital Transformations When it comes to developing a successful digital strategy, it is not just corporations planning to maximize the benefits of data assets and technology-focused initiatives. The Government of Western Australia recently unveiled four key priorities for digital reform in its new Digital Strategy for 2021-2025.Explore
Engage Your Workforce with a Modern Employee Intranet Solution The employee intranet has changed significantly since it was first introduced in the early 1990s. What started as HTML-based static portals have now evolved into intuitive communication tools complete with search engines, user profiles, blogs, event planners, and more. Today, many organizations are taking a second look at employee intranets to bridge gaps between teams, build company culture, centralize information, increase productivity, and improve workflow.Explore
Adopting emerging cloud technologies, consolidating resources, and improving processes is the key. “IT no longer just supports corporate operations as it traditionally has but is fully participating in business value delivery. Not only does this shift IT from a back-office role to the front of business, but it also changes the source of funding from an overhead expense that is maintained, monitored, and sometimes cut, to the thing that drives revenue,” said John-David Lovelock, research vice president at Gartner.Explore
Deliver Powerful Insights Instantaneously with Federated Queries - No Matter Where Your Data Resides The concept of federated queries isn’t new. Facebook PrestoDB popularized the idea of distributed structured query language (SQL) query engines in 2013. Over the years, AWS, Google, Microsoft, and many others in the industry have accelerated the adoption of a distributed query engine model within their products. For example, AWS developed Amazon Athena on top of the Presto code base, while Google’s BigQuery is based on Cloud SQL.Explore
What is Unstructured Data? Almost 80% of the data that enterprises and organizations collect is unstructured - data without a set record format or structure. Unstructured data includes data such as emails, web pages, PDFs, documents, customer feedback, in-app reviews, social media, video files, audio files, and images.Explore