Best Database Management Systems (DBMS) - Page 16

How Many Database Management Systems (DBMS) Products Does G2 Track?

Total Products under this Category: 291

Category Stats (Sep 2026)

  • Average Rating: 4.29/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Database Management Systems (DBMS) Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 10,000+ Authentic Reviews
  • 291+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Database Management Systems (DBMS)

G2 Grid® for Database Management Systems (DBMS) plotting products by satisfaction and market presence

Highlighted products: Microsoft SQL Server, Snowflake, Supabase, Google Cloud SQL, SAP HANA Cloud, Amazon Athena, BMC AMI Data, and SQL Developer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/database-management-systems-dbms/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=snowflake&focus%5B%5D=supabase-supabase&focus%5B%5D=google-cloud-sql&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=amazon-athena&focus%5B%5D=bmc-ami-data&focus%5B%5D=sql-developer)

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.

Who Is the Company Behind Hackolade?

  • Seller: Hackolade
  • Year Founded: 2015
  • HQ Location: Brussels, BE
  • LinkedIn® Page: linkedin.com
    5 employees on LinkedIn®

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.

Who Is the Company Behind Heimdall Data?

  • Seller: Heimdall Data
  • Year Founded: 2015
  • HQ Location: Los Altos, California, United States
  • Twitter: @heimdalldata
    123 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

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.

Who Is the Company Behind HSDBASE?

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

Who Is the Company Behind iDBA-Online?

  • Seller: Infotel
  • Year Founded: 1986
  • HQ Location: Blagnac, FR
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Indigo DQM

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

Who Is the Company Behind Indigo DQM?

  • Seller: Indigo DQM
  • Year Founded: 2003
  • HQ Location: Conwy, GB
  • Twitter: @indigodqm
    142 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

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.

Who Is the Company Behind Invantive Data Hub?

Kirix Strata

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

Who Is the Company Behind Kirix Strata?

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.

Who Is the Company Behind Klutch?

  • Seller: anynines
  • Year Founded: 2013
  • HQ Location: Saarbrücken, DE
  • LinkedIn® Page: www.linkedin.com
    36 employees on LinkedIn®

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.

Who Is the Company Behind LuitBiz DMS?

  • Seller: Luit Infotech
  • Year Founded: 2004
  • HQ Location: Bangalore, IN
  • Twitter: @LuitBiz
    1,350 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Luna Modeler

Luna Modeler is an intuitive data modeling tool for relational databases. With this powerful tool, you can create ER diagrams, design and visualize database structures, generate SQL scripts, and document your data models with ease. Luna Modeler makes data modeling simple!

Who Is the Company Behind Luna Modeler?

metaphactory

metaphactory is a low-code, FAIR Data platform that transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. It supports collaborative knowledge modeling and knowledge generation and enables on-demand citizen access to information. Key Benefits 1. Empower end users to experience & consume data in context metaphactory abstracts from the underlying complexity of a Knowlegde Graph and allows you and your users to consume data intuitively and in context and connect the dots between individual pieces of information. 2. Improve data literacy through meaningful and actionable insights A Knowledge Graph provides a machine-understandable view of your data; metaphactory makes that view human-understandable through intuitive exploration, search and visualization interfaces that deliver actionable insights. 3. Collaborate across user groups & capture hidden expert knowledge With metaphactory, business users, domain experts, application engineers and knowledge graph engineers can contribute to the semantic model, transforming data into reusable and company-wide available knowledge. 4. Build Knowledge Graph apps that allow you to adapt as you go metaphactory accelerates your time-to-market for new digital services and products by allowing you to start with a targeted business case, iterate often and extend the use case, semantic model and data sources on the fly.

Who Is the Company Behind metaphactory?

Mongrel

The software integrates database clients, remote terminals, container shells, and API tools into one workspace while supporting engine-specific workflows. Database operations include querying, editing, migrating, backing up, restoring, and synchronizing data tailored to each engine. A visual query builder generates SQL for MySQL and MariaDB, while the schema browser displays structures and relationships with foreign-key navigation up to five hops. Remote terminal support includes SSH, MOSH, and TELNET with session logging and file transfers. Docker and Podman enable container and image management, while Kubernetes handles workloads, pods, storage, and Helm operations. The API client supports HTTP/REST, GraphQL, WebSocket, and gRPC with authentication and mTLS. Connection Sync versions profiles via Git workflows. Saved queries, snippets, and history preserve work across sessions. Mongrel runs on Windows, macOS, and Linux.

Who Is the Company Behind Mongrel?

Motive Retail

Motive Retail helps you provide the best consumer experience across multiple touch points with fast, bidirectional data flow with our Motive Integrator product suite. Whether you’re an OEM, DMS, or specialized software/solutions provider, we help you manage the systems involved with automotive retail operations through proven API integrations.

Who Is the Company Behind Motive Retail?

  • Seller: Motive Retail
  • Year Founded: 2008
  • HQ Location: Remote, Oregon, United States
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

myDBR

myDBR is a web-based reporting system for MySQL, MariaDB, Microsoft SQL Server and Sybase databases.

Who Is the Company Behind myDBR?

MySQL Backup Software

Software to Automatic MySQL Database Backup. Schedule and Run Auto Backup on Windows startup.

Who Is the Company Behind MySQL Backup Software?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024