Tessell Blogs

Benchmarking is crucial to assess the performance and scalability of your Oracle Database, particularly when simulating real-world transaction-heavy workloads. One of the best tools to achieve this is HammerDB, which supports a wide range of databases, including Oracle. In this blog post, we'll focus specifically on the TPCC benchmark—a transaction processing benchmark used to evaluate the performance of OLTP (Online Transaction Processing) systems like Oracle Database. At Tessell we regularly benchmark our different databases on different public clouds to assess database transaction latency and throughput, for the purpose of this blog we are going to run benchmark on our latest offering on Google cloud.

Tessell simplifies the deployment and management of Oracle databases on Google Cloud, offering a fully managed Database-as-a-Service (DBaaS) that takes the complexity out of your cloud infrastructure. Whether you're using Oracle Enterprise Edition or Oracle, Tessell's expert team, equipped with in-depth knowledge of Oracle workloads and cloud infrastructure, handles every aspect of the migration process—ensuring minimal disruption to your business operations.

Federal, state, and local government agencies often face challenges when migrating legacy Oracle databases and applications to the cloud. These obstacles can delay cloud adoption and prevent organizations from realizing its full benefits. Tessell’s Database-as-a-Service (DBaaS) platform is designed to address these challenges, ensuring a seamless, secure, and cost-effective transition to the cloud.

Federal, state, and local government agencies often face challenges when migrating legacy Oracle databases and applications to the cloud. These obstacles can delay cloud adoption and prevent organizations from realizing its full benefits. Tessell’s Database-as-a-Service (DBaaS) platform is designed to address these challenges, ensuring a seamless, secure, and cost-effective transition to the cloud.

Businesses looking to reduce costs without compromising data integrity should implement a cost-effective disaster recovery strategy using Tessell’s Data Access Policies (DAP) and a cross-region PITR policy.

The demand for usable data has skyrocketed, putting pressure on organizations to enhance their data engineering practices. Data and Analytics (D&A) leaders can adopt several key strategies to foster collaboration, prove business value early, automate processes, manage data as a product, and eliminate operational overhead to meet this challenge.

Benchmarking is crucial to assess the performance and scalability of your Oracle Database, particularly when simulating real-world transaction-heavy workloads. One of the best tools to achieve this is HammerDB, which supports a wide range of databases, including Oracle. In this blog post, we'll focus specifically on the TPCC benchmark—a transaction processing benchmark used to evaluate the performance of OLTP (Online Transaction Processing) systems like Oracle Database. At Tessell we regularly benchmark our different databases on different public clouds to assess database transaction latency and throughput, for the purpose of this blog we are going to run benchmark on our latest offering on Google cloud.

Tessell simplifies the deployment and management of Oracle databases on Google Cloud, offering a fully managed Database-as-a-Service (DBaaS) that takes the complexity out of your cloud infrastructure. Whether you're using Oracle Enterprise Edition or Oracle, Tessell's expert team, equipped with in-depth knowledge of Oracle workloads and cloud infrastructure, handles every aspect of the migration process—ensuring minimal disruption to your business operations.

Tessell on Azure provides a specialized Database-as-a-Service (DBaaS) platform designed to meet the strict IT requirements of these organizations, making cloud adoption seamless and efficient.

The Data & Analytics (D&A) function is pivotal for business success in the contemporary landscape where data drives decisions. However, many executives still question its value.

The recent incidents with Snowflake and CrowdStrike are stark reminders of the importance of robust security measures, data protection, and operational resilience. Tessell stands out by providing all these features and more, ensuring that enterprises can operate securely and efficiently in an increasingly complex digital landscape.

Tessell's unique capabilities, from multi-DB support and dynamic licensing to integrated functionalities and enhanced FTE productivity, position it as a game-changer in the FinOps space.

Following these best practices, you can optimize MySQL table design and management within the Tessell DBaaS platform, ensuring high performance and robust data protection. Effective table design, strategic query optimization, and data protection measures are key to maintaining a reliable and performant database environment.

MySQL Binary Logs are a versatile and powerful feature that significantly enhances database management. By supporting incremental backups, data replication, comprehensive auditing, effective disaster recovery, and detailed performance monitoring, BinLogs ensure that the database remains reliable, secure, and efficient.

Tessell for MySQL is available with the most advanced security features. Several security best practices measures have already been implemented by default at provisioning.

Ensuring databases' high availability (HA) is crucial for business continuity and performance. PostgreSQL, one of the most popular open-source relational databases, offers robust HA solutions, and Tessell PostgreSQL is a standout example.

PostgreSQL 16 introduces a new libpq connection option, load_balance_hosts. This feature is particularly useful when an application needs to connect to multiple target nodes randomly to execute SQL queries. For instance, consider running a series of SQL queries on a group of read replicas synchronized with the primary node. This approach will yield better results, as it prevents all application queries from hitting the same replica or a limited set of servers. We can also balance the report-related SQL queries by using one primary and one replica node, instead of always relying on the reporting server to produce the data.

PostgreSQL 16 has many new and valuable enhancements and we thought it would be great to deep dive into these for our users. While we may not be able to look at all of them in one go, we thought to filter and curate the best ones as part of this article.

SQL Server Distributed Availability Group (DAG) is a special type of AG that sits on top of existing Availability Groups configured on On-Premise SQL Server instances or Azure VM’s or AWS EC2. DAG enables cross-region, cross-cloud, cross datacenter DR for SQL Server databases. Also, this helps in the ease of migrations of large-scale SQL Server Databases to desired cloud platforms with minimal cutover window and downtime. In this document, we will learn how we can migrate from SQL Server on Azure/AWS or OnPrim to Tessell SQL Server HA using a Distributed Availability Group.

This guide provides a detailed walkthrough of the procedures to establish a high-availability (HA) configuration for Microsoft SQL Server, guaranteeing database robustness and minimizing downtime during failures or maintenance operations.

In this article, we conduct performance benchmarks to assess, analyze, and compare the performance of SQL Server database engines running on Azure - Tessell and Azure Managed Instance for SQL Server. We utilized the HammerDB benchmarking tool for the benchmarking process to make a repeatable, verifiable comparison.

You can create high-performing and resilient MongoDB collections on the Tessell DBaaS platform. Effective data modeling, indexing, and query optimization are key to performance, while data distribution and replication management ensure data availability and consistency.

Managing a MongoDB database can be complex, but it does not have to be. Tessell's managed service removes the burden, allowing you to focus on your business operations.

MongoDB's flexibility, scalability, high performance, and document-oriented structure make it a preferred choice for modern applications.

Milvus is an open-source vector database designed specifically for handling large-scale vector data, particularly in the realm of machine learning, deep learning, and data similarity searches.

We’re excited to announce the availability of Milvus on the Tessell platform. With Tessell, you will be able to automate the enterprise readiness of your vector databases from day 1 and de-risk incorporating them into your most critical applications.

As we wrap up our time at Ignite in Chicago, we can't help but leave with a feeling of gratitude and renewed enthusiasm. Events like these reinforce our mission of assisting leading global enterprise organizations in modernizing and managing their cloud data infrastructure and alleviating many pain points related to database lifecycle management, data management, and data flow.

Tessell, The Next Generation Cloud Database-as-a-Service, announced today that CRN®, a brand of The Channel Company®, included Tessell on its 2024 Big Data 100 list in the Coolest Database System Companies Of The 2024 Big Data 100 category. This annual list recognizes technology vendors committed to delivering continuous innovation across their big data portfolios in areas such as business analytics; data warehouse and data lake systems; database systems; management and integration tools; systems and platforms; and DataOps and data observability. 

Tessell, the leading next-generation database-as-a-service (DBaaS) that supports AWS and Azure clouds, has achieved ISO 27001 and 27701 certifications, certifying its data privacy program has implemented rigorous measures that ensure the protection and appropriate use of institutions' data.