Glossary

Robust database management systems must protect the data they store and process from corruption. Atomicity Consistency Isolation Durability (ACID) provides a set of rules for safeguarding database and transaction integrity. What is ACID? The acronym ACID was coined in the 1960s and has been implemented by relational database systems ever since. The four properties can …

AI vector generators convert text, image, or speech objects into a mathematically computed string of numbers representing the object across many dimensions. The string of numbers (or vectors) represents various attributes of an object. In vector space, similar objects are adjacent to each other. An AI-driven natural language vector search can be used to find …

The term Big Data describes data sets that are too large or complex to be processed by traditional data processing methods. It is also used to describe data sets that need to be processed in their entirety to gain business insight into the information contained in the data, as processing subsets of the data could …

From the viewpoint of Actian, an established data company, Business Intelligence (BI) represents a cornerstone of our comprehensive data solutions. It is a trusted and powerful process that empowers organizations to transform raw data into actionable insights, enabling confident and informed decision-making. As an industry leader, Actian understands the critical role of data in driving …

A CDP (Customer Data Platform) is a powerful tool that leverages data to provide a comprehensive 360-degree view of all customer interactions. It goes beyond just sales and marketing, encompassing services, support, and financial perspectives, making it a crucial asset for any business. Why is a Customer Data Platform Important? A CDP is an important …

Cloud analytics is a term used to describe cloud-based computing to uncover insight from stored data in private or public clouds. Cloud computing is the fastest-growing segment of the database market, and modern data repositories are almost exclusively cloud-based. Cloud-computing service providers have made it uneconomical to maintain data stores on-premises. Data location is a …

Cloud computing represents a fundamental pillar of our comprehensive data solutions. It is a robust and reliable framework that empowers organizations to leverage scalable computing resources, seamlessly access data, and accelerate their digital transformation with utmost confidence. As an industry leader, Actian recognizes the pivotal role of cloud computing in driving business agility and efficiency. …

The term cloud elasticity refers to the ability of a cloud service to grow and shrink resources to match the demand from an application workload. The dynamic elements of an elastic cloud are compute CPUs, memory and storage. The provision and contraction of resources are usually automatic and driven by cloud monitoring software. Cloud Elasticity …

Data storage can reside in a data center on-premises or a data center hosted by a cloud service provider or cloud vendor and accessed over a network. It is offered as a subscription model, typically charged monthly by terabytes consumed per hour. Most cloud providers use a multi-tenancy model to host data from multiple customers …

Comparative analysis compares two or more data sets to analyze similarities and differences between them. The analysis can be quantitative or qualitative. Why is Comparative Analysis Important? In business, assessing data about multiple products, services, strategies, or competitors helps make better-informed operational or strategic decisions. When setting the direction for a company, weighing the options …

A Compute Cloud allows public cloud subscribers to scale out their workload to meet the demand for additional processing power dynamically. Why is the Compute Cloud Important? Without a Compute Cloud, individual businesses would have to carefully plan their anticipated computing needs using capacity planners and purchase and provision the hardware they might need in …

Connected apps allow different applications to share data and functionality securely through APIs (Application Programming Interfaces), which act as messengers between the apps. For instance, connected apps process customer data on an in-house platform using standard application programming interfaces (APIs) to extract source data from external SaaS solutions. Why are Connected Apps Important? Connected apps …