Databases

Data Pipeline

Data Pipeline is a broader term that encompasses ETL as a subset. It refers to a system for moving data from one system to another.

Database

A collection of digital information, that is organized in such a way that it can be easily managed. The information is stored and processed on a computer with or without human assistance. Traditional databases are organized by areas, records, and files.

Database Design

Database Design is a collection of processes that facilitate the designing, development, implementation and maintenance of enterprise data management systems. 

Database development

Database development is a process of designing, implementing, and maintaining a database system & this process is an important aspect of database engineering. 

DB2

A family of relational database management system products from IBM that serve different operating system platforms. It is a full-featured, high-performance database engine capable of handling large quantities of data and concurrently serving many users.

Dbf

DataBase File is a file format extension used by database software. Has features for data storage and manipulation. The .dbf format is supported by a number of database products.

DynamoDB

A fully managed NoSQL database service in the key-value format offered by Amazon.com as part of the Amazon Web Services package. It provides fast and predictable performance with scalability.

EnterpriseDB

An enterprise-class RDBMS that supports update-intensive, high-volume applications. Built on PostgreSQL.

Event Store

The functional database with Complex Event Processing in JavaScript. Stores the data as a series of immutable events over time, making it easy to build event-sourced applications.

Firebird

A SQL relational database management system that runs on Linux, Windows, and a variety of Unix platforms. A single Firebird server can process several hundred independent databases, each with multiple user connections.

GraphDB

Semantic Graph Database. Provides the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data publishing and consumption are important.

HANA

High-Performance Analytic Appliance is an in-memory database used to store and retrieve data as requested by the apps. It also performs advanced analytics (predictive/streaming analytics, text search, etc.).

InfluxDB

A time series database written in Go and optimized for fast, high-availability storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics. It also has support for processing data from Graphite.

InterBase

A cross-platform database management system originally developed by Borland, which supports most of the known platforms: Windows, Linux, Unix, Solaris, Mac OS, etc. It is often used in embedded military and special-purpose systems.

Google Compute Engine

Google's Infrastructure-as-a-Service (IaaS) virtual machine offering. Enables users to use virtual machines in the Cloud as server resources instead of acquiring and managing server hardware.

Liquibase

A database-independent library created for tracking and managing database changes, mainly in an agile software development environment. Often used as a database migration management system.

Magic keywords for DBA

Stored procedures, triggers, replication, performance optimization, clustering, back-up, deadlocks, tuning, configuration.

MariaDB

A relational database with an extensible architecture, it has replaced MySQL in many places thanks to being quicker, more open and vibrant, having more storage engines, more transparent security releases, better performance, etc.

MemSQL

A SQL database managing system that is used for transactions and analytics, it also combines data warehouse and streaming workloads. It compiles Structured Query Language into machine code, via termed code generation.

MongoDB

A document-oriented database management system that does not require a description of the table schema. It is classified as NoSQL, uses JSON-like documents and a database schema. Written in C ++.

MS Access

A database management system that helps to store large amounts of information for reference, reporting and analysis. Thanks to the built-in VBA language, in the Access itself you can write applications that work with databases.

MS SQL Server

A relational database management system developed by Microsoft. It is built for the basic function of storing and retrieving data as required by other applications, both GUI and command based software.

MySQL

An relational database management system based on SQL, associated with web-based applications and online publishing, runs on Linux, UNIX, Windows and other platforms.

Navicat

A series of database management and development tools for MySQL, MariaDB, MongoDB, Oracle, SQLite, PostgreSQL, and Microsoft SQL Server. Supports database connections through SSH and HTTP Tunnels. Offers comprehensive data format support for data migration.

Neo4j

A graphical database management system with open source code, implemented in Java. Neo4j has all the characteristics of databases, including compliance with ACID, maintaining clustering and recovery from a system failure.