A repository of acronyms, jargon, and useful words for product and customer teams


Anomaly Detection

Anomaly detection is the process of finding data points that are outliers from the rest of a data set.

Read full description

Apache Arrow

Apache Arrow a language-agnostic software framework for developing data analytics applications that process columnar data. It contains a standardized column-oriented memory format that is able to represent flat and hierarchical data for efficient analytic operations.

Read full description

Apache Arrow Flight SQL

Apache Arrow Flight SQL provides a high performance SQL interface for working with databases over a network

Read full description

Apache DataFusion

DataFusion is an in-memory query planning, optimization, and execution framework. DataFusion was created in 2017 and donated to the Apache Arrow project in 2019.

Read full description

Apache Parquet

Apache Parquet is an open source columnar data file format that supports different encoding and compression schemes to optimize it for efficient data storage and retrieval in bulk.

Read full description


An Autoregressive Integrated Moving Average (ARIMA) model is a widely used time series forecasting technique.

Read full description

Batch Processing

Batch processing is a computer processing technique where a large amount of data is collected and processed at once rather than in real time

Read full description

CAP Theorem

CAP theorem is a computer science theory related to the tradeoffs involved with designing distributed databases.

Read full description


In the context of databases cardinality is the number of unique sets of data stored in a database. Specifically, it refers to the total number of unique values possible within a table column or database equivalent.

Read full description

Column Database

Column databases are a type of DBMS that store data formatted in columns rather than rows and are optimized for analytics workloads.

Read full description

Data Fabric

Learn about the powerful concept of data fabric and its potential to transform the way organizations manage and utilize their data.

Read full description

Data Mesh

What is continuous profiling? Learn this technique to identify and resolve potential performance bottlenecks and other issues.

Read full description

Data Warehouse

A data warehouse is a data management system that supports business intelligence, such as data analysis. Data warehouses help you make more insightful decisions about your business.

Read full description

Database as a Service (DBaaS)

Database-as-a-service (DBaaS) is a cloud computing service that provides access to a cloud database system without needing to set up, configure, or manage software or physical infrastructure.

Read full description

Database Denormalization

Database denormalization is a process for designing a database to enable faster data reads. One way to do this is by introducing redundant data where necessary.

Read full description

Database Indexing

The index of a database table acts like the index in a physical textbook. On this page, we will learn what database indexing is and more.

Read full description

Distributed Database

Distributed databases system spreads data storage and processing across multiple servers instead of relying on a single server.

Read full description

Distributed Tracing

Tracing is a method for understanding how interconnected components of a distributed system interact with each other.

Read full description

Edge Computing

Edge computing is a type of computing that happens near a data source. It allows you to perform computing tasks as close to an IoT device or end user as possible instead of using a data center or the cloud.

Read full description

ETL (Extract, Transform, Load)

ETL stands for Extract, Transform, Load and is the process of moving and manipulating data from different sources before storing it in another database.

Read full description

Fuzz Testing

Fuzz testing, also referred to as fuzzing, is a software testing technique designed to identify vulnerabilities, bugs, and potential crashes in software applications, systems, or protocols.

Read full description

IoT Devices

The Internet of Things refers to the network of interconnected "things" with sensors, software, processing ability, and other technologies that connect and exchange data with other internet-connected devices. IoT devices include smartphones, medical sensors, fitness trackers, smart security systems, and other technologies.

Read full description

IoT Security

In the digital landscape, IoT security plays a pivotal role in ensuring the confidentiality, integrity, and availability of data transmitted and stored across networks.

Read full description


Software observability is the practice of monitoring your software in order to understand its behavior and identify issues.

Read full description

Online Analytical Processing (OLAP)

Online Analytical Processing (OLAP) is an approach to working with typically multidimensional data for analytics use cases.

Read full description

OPC Unified Architecture (OPC UA)

OPC UA is a cross-platform standard for moving data between sensors and cloud applications.

Read full description

Overall Equipment Effectiveness (OEE)

Overall Equipment Effectiveness (OEE) is a metric for measuring manufacturing productivity.

Read full description

Predictive Maintenance

Predictive Maintenance is a maintenance strategy that uses a combination of sensors and data analysis to detect issues in machinery or other equipment before they become major problems.

Read full description

Prometheus metrics

Prometheus stores four metric types for monitoring needs: counters, gauges, histograms, and summaries.

Read full description

Real-Time Database

Today, a real-time database can mean different things. This glossary page considers two categories of real-time databases.

Read full description

Real User Monitoring

Real User Monitoring(RUM) is the process of collecting user data to gain insights into your application's performance and how it is being used.

Read full description

SCADA (Supervisory Control And Data Acquisition)

SCADA stands for Supervisory Control and Data Acquisition. A SCADA system is usually a collection of both software and hardware components that allow supervision and control of industrial plants.

Read full description


Seasonality is the presence of regular and predictable change in time series data.

Read full description


SQL is a domain specific language used in programming and designed for managing data held in a relational database management system.

Read full description


Stationarity refers to a time series where the statistical properties of that series don’t depend on the time when observing it.

Read full description

Stream Processing

Stream processing is a technique to process continuous data (unbounded data) streams where data flows in real time from one point to another, like from a sensor to a database.

Read full description

Vector Processing

Vector processing is a computer method that can process numerous data components at once. It operates on every element of the entire vector in one operation.

Read full description