Tessell Architecture Guide
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Tessell Architecture Guide

The foundational concepts that underpin the architecture of Tessell

In today's digital landscape, the core of every business operation revolves around data and software infrastructure. However, many organizations grapple with realizing the full potential of the digital economy. Since the inception of Tessell, we've recognized that data engineers encounter significant hurdles in managing data effectively:

  • Productivity and Time-to-Market: The demand for heightened productivity and quicker time-to-market is hindered by inflexible database management systems, which are ill-suited to modern code structures and impose intricate interdependencies among engineering teams.
  • Data Management Challenges: Organizations struggle to harness and derive insights from the vast and swiftly expanding volume of data generated by modern applications, encompassing diverse data types such as time series, geospatial, and polymorphic data.
  • Legacy Data Infrastructure: Outdated, monolithic, and fragile architectures impede the widespread transition to distributed systems. These systems fail to provide the resilience and scalability demanded by digital businesses and do not adequately comply with evolving regulatory requirements for data privacy.
  • Convergence of Workloads: Transactional, analytical, search and mobile workloads are converging to create sophisticated data-driven applications and customer experiences. However, traditionally, each workload has relied on its separate database, resulting in duplicated data silos interconnected through fragile ETL pipelines and accessed via disparate developer APIs.

To tackle these challenges, Tessell began with the vision of revolutionizing database management by providing a better, more flexible solution. The goal is to become the standard for data management, regardless of the database engine or cloud platform being used. Tessell initially focused on relational databases like Oracle, Microsoft SQL Server, PostgreSQL, and MySQL, and has now expanded to include NoSQL databases like MongoDB and vector databases like Milvus. Tessell provides the flexibility to run databases anywhere, in your choice of cloud. This eliminates vendor lock-in.

Tessell solves several problems in the realm of database management. Firstly, it simplifies the process by offering a managed solution that takes care of infrastructure management, provisioning, backups, patching, upgrades, and monitoring. This allows users to focus on their business requirements rather than the complexities of database management. Tessell addresses scalability and reliability challenges by offering a fully managed virtual machine environment for running databases. This ensures that applications can scale confidently and that the underlying infrastructure is taken care of, reducing architectural complexity.

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