Best Database Management Systems (DBMS) - Page 16

EveryDB

Experian National Employer Database (NED) (UK)

The National Employer Database (NED) by Experian is a comprehensive, structured, and searchable database encompassing over 4.7 million UK employers, effectively covering 99% of UK employees. This extensive repository is designed to enhance the accuracy and efficiency of capturing employer information during customer onboarding processes, thereby facilitating real-time employment verification and risk assessment. Key Features and Functionality: - Employer Search Engine: NED functions similarly to a postcode lookup, allowing users to swiftly and accurately search for their employer's name in a structured format. This approach minimizes typing errors and reduces keystrokes by 43% during the onboarding journey. - Validated Insights: The database provides immediate access to additional insights, such as Standard Industry Classifications (SIC), which are automatically populated to expedite the user journey and enhance data accuracy. - Real-Time Fuzzy Matching: NED offers real-time suggestions even when users make spelling errors, swap letters, or add extra spaces, ensuring a seamless and error-free data entry experience. - Easy Integration: The database can be effortlessly integrated into application processes via Experian's Employer Search API, streamlining the incorporation of employer data into existing systems. Primary Value and Solutions Provided: NED addresses the critical need for accurate employer information collection, which is essential for real-time credit decisions and risk assessments. By reducing application friction and keystrokes, it enhances the customer onboarding experience. The inclusion of SIC codes and other metadata improves data quality, leading to more informed decision-making. Additionally, the database's real-time fuzzy matching capabilities and easy integration options contribute to operational efficiency and data accuracy, ultimately supporting businesses in making better-informed decisions and improving customer satisfaction.

Graph AI

Hackolade

Hackolade Studio is a powerful and flexible data modeling platform built for today’s complex data ecosystems. It supports a broad range of technologies, including relational SQL and NoSQL databases, cloud analytics data warehouses, streaming platforms, APIs, and data exchange formats, making it a versatile choice for modern data architecture initiatives. The platform enables users to visually design, document, and evolve schemas across diverse systems such as Oracle, PostgreSQL, MySQL, SQL Server, BigQuery, Databricks, Snowflake, Redshift, MongoDB, Cassandra, DynamoDB, Neo4j, and Kafka with Confluent Schema Registry. It also supports API modeling for OpenAPI (Swagger) and GraphQL, along with native schema design for formats like Avro, JSON Schema, Protobuf, Parquet, and YAML. Hackolade Studio offers essential capabilities such as forward and reverse engineering, schema versioning, data type mapping, and model validation, helping teams ensure accuracy and consistency across environments. It integrates seamlessly with metadata management platforms like Unity Catalog and Collibra, enabling improved data governance, lineage, and compliance. With its intuitive interface and modular architecture, Hackolade empowers data architects, engineers, API designers, and governance professionals to collaborate effectively on clean, governed, and scalable data models. Whether designing new systems, managing evolving schema contracts, or aligning business and technical users around a shared understanding of data, Hackolade Studio accelerates delivery and fosters agility. In an era where data is a core asset, Hackolade Studio helps organizations unlock its full value by making data modeling and schema design a streamlined, iterative, and business-aligned process. A complementary product is the Hackolade Model Hub is a model-driven metadata collaboration platform that offers centralized, streamlined access to your Hackolade Studio data models, stored across one or more Git repositories. A model-driven metadata collaboration platform allows organizations to retake control of their data.

Heimdall Data

Heimdall Data is a distributed Database Proxy that optimizes from an application perspective. It gives users visibility and control over their SQL environment. Installed on each application instance, there is no single point of failure and each Heimdall instance acts independently, yet in unison for caching, read/write splitting, and automated database failover.

HSDBASE

HSDBASE is a specialized software by HS Automation Software designed to facilitate seamless data exchange between Siemens S7 PLCs (such as S7-1200, 1500, 300, and 400) and a variety of databases and file formats—including SQL servers, CSV, and QDAS. It’s ideal for tasks such as data logging, recipe/batch management, and bidirectional data communication.

iDBA-Online

Let Machine Learning Automate Your Db2 Maintenance iDBA-Online uses machine learning to provide automatic maintenance capabilities for performing database backups, keeping statistics current and reorganizing tables and indexes as necessary. iDBA-Online sophisticated algorithms combine your SLAs, your business constraints and a cost-benefit analysis to establish in real-time the optimum maintenance schedule. The maintenance utilities are executed automatically to ensure your compliance with SLA and certify that every single operation has a positive ROI for the overall system. Ensure ROI Of Maintenance Operations iDBA-Online determines automatically what maintenance tasks need to be performed on your Db2 environments. The decisions are based on a cost-benefit analysis that takes into account the business constraints (SLAs) defined by users, the use of Db2 data by applications, the current status of the tables and indexes and the cost of the maintenance. By performing only the maintenance tasks that have a positive ROI on your system. iDBA-Online guarantees the Db2 database is constantly optimized for your applications. This cost-driven strategy leads to avoids unnecessary maintenances and minimizes system resources. With iDBA-Online’s machine learning capability you can manage larger workloads with smart and agile automation. Smart and Dynamic Planning iDBA-Online defines the optimum planning for Db2 maintenance operations that will maximize overall system performance while ensuring full data integrity and lower application costs. iDBA-Online collects CPU and workload information to predict when is the best moment to schedule maintenance utilities. The planning and the strategy are dynamically adapted in real-time based on the instant workload. Intelligent Pilot for Db2 Utilities iDBA-Online controls the execution of Db2 utilities and makes live-time decisions on database maintenance without generating any JCL: parallelism management, selection of the execution mode (Online or Offline), recovery… Utilities include online and offline reorganization, synchronous and asynchronous backup, data load and unload, and Db2 catalog statistics update. In the case any problem occurs during a utility cycle, iDBA-Online manages the complete recover to ensure application availability. Enforce your Business SLAs The decisions made by iDBA-Online’s automation take into account the business rules and SLAs defined by your users. A centralized interface allows them to define groups of objects and the rules associated to each group. Those rules includes: data availability, forbidden periods, backup strategies, and more. Business value of application can be set in order to privilege Db2 objects that are important for your business. Benefits • Automate Db2 maintenance tasks with Smart Pilot • Reduce maintenance costs by scheduling necessary tasks only • Reduce application costs by ensuring positive ROI for every single maintenance task • Ensure the maintenance strategy complies with your SLAs • Maintain continuous availability to Db2 data • Control maintenance operation through a centralized interface • Ensure maintenance operations without impacting CPU billing • Collect statistics without affecting applications • Focus DBA’s efforts on innovation rather than basic maintenance management

Indigo DQM

Indigo DQM is high level data management, query and reporting system designed to maximise data assets, information and intelligence.

Invantive Data Hub

Invantive Data Hub is command-line driven software that is capable of executing Invantive Query Tool-compatible scripts across many database and cloud platforms.

Kirix Strata

Kirix Strata™ is an ad hoc data analysis and reporting tool built for people who work with, manipulate and analyze structured data.

Klutch

An open-source control plane for managing VM-based and pod-based databases and data services in Kubernetes; gives developer self-service for provisioning, backups, restores, and more. Klutch is an open-source control plane that unifies the management of data services across Kubernetes, virtual machines, and external Database-as-a-Service (DBaaS) providers. Sponsored by anynines, it extends Kubernetes’ declarative model to any data service, whether it’s deployed via a Kubernetes Operator, running on VMs, or consumed from a cloud provider. Klutch automates the full service lifecycle, including provisioning, backups, restores, etc., while maintaining governance, security, and consistency. It brings simplicity to the developer experience to modern cloud environments, giving platform teams and developers a common interface for database and data service consumption. By abstracting infrastructure complexity, Klutch enables organizations to deliver data services flexibly and efficiently across hybrid and multi-cloud environments.

Krufe

Krufe automates end-to-end database design workflow, enabling users to generate ER diagrams, schemas, SQL scripts, and populate tables through a guided, domain-driven process. Built for architects, backend engineers, and product teams, Krufe transforms domain selection into a fully structured relational database blueprint. From entity relationships and normalized table structures to multi-engine SQL scripts, the platform eliminates manual schema drafting and accelerates system design workflows. Whether you're prototyping a new application, designing enterprise architecture, or preparing technical documentation, Krufe provides a reliable foundation for scalable and structured database development.

LastDatabase

The World’s First Just-In-Time B2B Data Engine. Just-In-Time B2B Lead Data & Real-Time Verification Stop paying for decaying lists. LastDatabase verifies every contact via live SMTP and line checks the exact second you hit export—helping reduce stale and technically invalid addresses before delivery.

Layerbase

Layerbase is a managed database platform for developers, startups, and small teams. It brings multiple database engines into one platform with a web dashboard, desktop app, and command-line interface. Teams can provision databases, query and manage data, create database branches for development and testing, and manage backups and recovery. Layerbase supports secure connections, team collaboration, and local-to-cloud development workflows, with flat monthly plans.

LuitBiz DMS

LuitBiz DMS is easy to use web-based document management system that helps organizations digitally manage their documents over the cloud and access them from any device.