Best Database Management Systems (DBMS) - Page 3

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)

dbForge Studio for Oracle

dbForge Studio for Oracle is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data. This tool allows synchronizing data between different Oracle servers and automating schema change management process during development. This Oracle database manager has lots of features wrapped into a smooth management Oracle GUI consistent with Microsoft Visual Studio.

Average Rating: 4.5/5.0

Total Reviews: 20

How Do G2 Users Rate dbForge Studio for Oracle?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Data dictionary: 8.3/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.9/10 (Category avg: 8.5/10)
  • Data Migration: 9.4/10 (Category avg: 8.4/10)

Who Is the Company Behind dbForge Studio for Oracle?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 35% Large, 35% Small

What Do G2 Reviewers Say About dbForge Studio for Oracle?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of dbForge Studio for Oracle, finding it versatile and highly recommended for daily tasks.
  • Users praise the versatile and user-friendly features of dbForge Studio for Oracle, enhancing their DBA experiences significantly.
  • Users appreciate the versatility and ease of use of dbForge Studio for Oracle, making their DBA work enjoyable.

What Are Recent G2 Reviews of dbForge Studio for Oracle?

What Are G2 Users Discussing About dbForge Studio for Oracle?

Studio 3T

Studio 3T is a comprehensive tool for managing MongoDB deployments designed to enhance both software development and IT efficiency, making it an essential tool for enterprise environments. It provides advanced features that streamline database management, reduce costs, and maximize the return on investment (ROI) in IT and software development. Key Features and Benefits: Visual Query Builder: Simplify complex query creation, boosting development efficiency by minimizing the need for manual coding. Query Profiler: Find and optimize slow queries to enhance database performance and reduce time it takes to fix problems. Index Manager: Manage and fine-tune indexes to improve query efficiency and overall database performance, leading to reduced operational costs. SQL Query: Facilitates easy transition for teams familiar with SQL, reducing the learning curve and speeding up development processes. Aggregation Editor: Streamlines the creation of aggregation pipelines, making data processing more efficient and reducing resource consumption. AI Query Builder: Leverages AI to build queries using natural language, regardless of technical expertise, thereby reducing training costs. Schema Explorer: Provides insights into MongoDB schemas, helping teams quickly identify and resolve modeling issues and data quality. Task Automation: Automates repetitive database tasks, allowing IT teams to focus on higher-value activities and reducing manual labor costs. Team Sharing: Facilitates sharing of queries and scripts across teams, promoting collaboration and facilitating onboarding of new team members, which directly impacts IT efficiency and cost-effectiveness.

Average Rating: 4.6/5.0

Total Reviews: 190

How Do G2 Users Rate Studio 3T?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.8/10)
  • Data dictionary: 8.2/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.5/10 (Category avg: 8.5/10)
  • Data Migration: 8.8/10 (Category avg: 8.4/10)

Who Is the Company Behind Studio 3T?

  • Seller: 3T Software Labs
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Berlin, DE
  • Twitter: @Studio3T
    1,668 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    59 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 24% Large

What Do G2 Reviewers Say About Studio 3T?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Studio 3T invaluable, enhancing efficiency for both beginners and experienced developers.
  • Users find the user-friendly interface of Studio 3T enhances efficiency in managing and querying MongoDB.
  • Users appreciate the ease of working with MongoDB through Studio 3T's intuitive visual interface and tools.
  • Users value the import/export features of Studio 3T for seamless data sharing and quick test setups.
  • Users value the flexibility of Studio 3T, enabling efficient management and diverse views for MongoDB data.
Cons
  • Users experience slow performance with large datasets and prolonged startup times, impacting efficiency and user experience.
  • Users experience connection issues due to complex navigation when trying to connect to remote databases.
  • Users find the licensing cost of Studio 3T to be high, especially for small teams starting out.
  • Users experience performance issues with Studio 3T, including sluggishness and crashes when handling large datasets.
  • Users desire a recommendation system for query optimization in Studio 3T, especially for complex, compute-intensive queries.

What Are Recent G2 Reviews of Studio 3T?

What Are G2 Users Discussing About Studio 3T?

PopSQL

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

Average Rating: 4.6/5.0

Total Reviews: 80

How Do G2 Users Rate PopSQL?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.8/10)
  • Data dictionary: 8.4/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.5/10 (Category avg: 8.5/10)
  • Data Migration: 9.0/10 (Category avg: 8.4/10)

Who Is the Company Behind PopSQL?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 43% Small, 37% Medium

What Are Recent G2 Reviews of PopSQL?

What Are G2 Users Discussing About PopSQL?

SAS/ACCESS

SAS/ACCESS is a software solution that enables seamless integration between SAS and various third-party databases, allowing users to read, write, and update data across different platforms without needing to learn database-specific query languages. This integration facilitates efficient data management and analysis by providing transparent access to diverse data sources. Key Features and Functionality: - Seamless Data Access: Enables direct interaction with multiple databases, treating external data as if it were native to SAS. - Flexible Query Language Support: Allows users to perform data operations without requiring knowledge of SQL or other database-specific languages. - Performance Optimization: Includes features like indexing, bulk loading, and support for relational database objects such as triggers and stored procedures to enhance performance. - Metadata Integration: Provides tools to manage and integrate metadata, ensuring consistency and accuracy across data sources. - Security and Data Integrity: Maintains robust security measures and ensures data integrity during access and manipulation. Primary Value and User Solutions: SAS/ACCESS addresses the challenge of integrating and managing data from multiple, heterogeneous sources. By providing a unified interface to various databases, it simplifies data access and manipulation, enabling organizations to make informed decisions more quickly. This solution is particularly beneficial for businesses that require efficient data integration without the complexity of learning multiple database languages, thereby enhancing productivity and reducing the time-to-insight.

Average Rating: 4.5/5.0

Total Reviews: 28

How Do G2 Users Rate SAS/ACCESS?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.8/10)
  • Data Migration: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind SAS/ACCESS?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education
  • Company Size: 66% Large, 31% Small

What Do G2 Reviewers Say About SAS/ACCESS?

AI-generated summary from verified user reviews

Pros
  • Users value the database connectivity of SAS/ACCESS, facilitating effective legacy data extraction during migration processes.
  • Users value the inclusion of SAS Access in the base Viya License, facilitating seamless legacy data extraction during migration.
  • Users value the seamless access to Oracle and Snowflake, enhancing their data integration and workflow efficiency.
  • Users appreciate the ease of use of SAS/ACCESS, enabling seamless data manipulation with familiar SAS procedures.
  • Users value the easy integrations of SAS/ACCESS, facilitating smooth connections with major data sources like Oracle and Hadoop.
Cons
  • Users are concerned about the expensive licensing costs associated with SAS/ACCESS, impacting their decision-making.
  • Users struggle with the integration complexity of SAS/ACCESS, requiring SAS Admin assistance for MongoDB and Hadoop integration.
  • Users face challenges due to poor management in SAS/ACCESS, complicating integration for developers without admin support.
  • Users report slow performance with SAS/ACCESS, particularly experiencing inefficiencies in query processing and format usage.

What Are Recent G2 Reviews of SAS/ACCESS?

Azure SQL Server Stretch Database

Azure SQL Server Stretch Database was a feature introduced in SQL Server 2016 that allowed organizations to dynamically extend their on-premises databases to Azure, enabling seamless access to both hot and cold data without significant changes to existing applications. This capability provided virtually unlimited storage and compute capacity, facilitating efficient management of large datasets. Key Features and Functionality: - Dynamic Data Stretching: Automatically migrate cold or infrequently accessed data from on-premises SQL Server databases to Azure, while keeping hot data on-premises for optimal performance. - Transparent Query Processing: Execute queries across both on-premises and Azure-stored data without modifying existing applications, as the process is transparent to users. - Integrated Security: Utilize Always Encrypted technology to ensure that sensitive data is encrypted before being transferred to Azure, with encryption keys remaining on-premises. - Scalability: Leverage Azure's scalable storage and compute resources to manage growing data volumes without the need for significant infrastructure investments. Primary Value and User Solutions: Azure SQL Server Stretch Database addressed the challenges of managing large and growing datasets by providing a cost-effective solution for archiving cold data without compromising accessibility. It enabled organizations to maintain compliance with data retention policies and regulatory requirements by keeping data online and readily available. By offloading cold data to Azure, businesses could optimize on-premises storage and compute resources, leading to improved performance and reduced maintenance costs. However, it's important to note that Microsoft announced the deprecation of the SQL Server Stretch Database feature in SQL Server 2022, with the supporting Azure service retired as of July 9, 2024. Organizations are advised to explore alternative solutions for managing cold data, such as utilizing the CREATE EXTERNAL TABLE AS SELECT (CETaS) feature in SQL Server 2022, which allows archiving data to Azure Storage in Parquet format for cost-effective storage and analytics.

Average Rating: 4.1/5.0

Total Reviews: 16

How Do G2 Users Rate Azure SQL Server Stretch Database?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.8/10)
  • Data dictionary: 8.3/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.3/10 (Category avg: 8.5/10)
  • Data Migration: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind Azure SQL Server Stretch Database?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 35% Medium, 35% Large

What Do G2 Reviewers Say About Azure SQL Server Stretch Database?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless functionality of Azure SQL Server Stretch Database, especially in large enterprise environments.
  • Users appreciate the solution efficiency of Azure SQL Server Stretch Database, finding it seamless for large enterprises.
Cons
  • Users experience poor customer support with Azure SQL Server Stretch Database, leading to frustrations and unresolved issues.

What Are Recent G2 Reviews of Azure SQL Server Stretch Database?

What Are G2 Users Discussing About Azure SQL Server Stretch Database?

ClickHouse

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.

Average Rating: 4.5/5.0

Total Reviews: 22

How Do G2 Users Rate ClickHouse?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Data dictionary: 9.4/10 (Category avg: 8.5/10)
  • Backup and Recovery: 7.8/10 (Category avg: 8.5/10)
  • Data Migration: 8.8/10 (Category avg: 8.4/10)

Who Is the Company Behind ClickHouse?

  • Seller: ClickHouse
  • Year Founded: 2021
  • HQ Location: Palo Alto, US
  • Twitter: @ClickhouseDB
    18,013 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    682 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Small, 39% Medium

What Do G2 Reviewers Say About ClickHouse?

AI-generated summary from verified user reviews

Pros
  • Users value the exceptional query performance of ClickHouse, enabling lightning-fast and efficient analytics on large datasets.
  • Users praise the high availability of ClickHouse, ensuring seamless performance even with large data loads.
  • Users praise ClickHouse for its exceptional big data handling, enabling fast analytics and efficient performance on large datasets.
  • Users value the exceptional query performance of ClickHouse, enhancing their data analytics experience significantly.
  • Users value the efficient data storage of ClickHouse, enhancing performance for large-scale analytics seamlessly.
Cons
  • Users find beginner unfriendliness in ClickHouse due to the complexity of query optimizations requiring advanced knowledge.
  • Users find that complex usage of ClickHouse necessitates advanced expertise, posing challenges for beginners.
  • Users find that complex query optimizations demand specialized knowledge, posing challenges for newcomers to ClickHouse.
  • Users find that required expertise for complex queries can be challenging, especially for newcomers to ClickHouse.
  • Users find that training is required for complex query optimizations, posing challenges for new users.

What Are Recent G2 Reviews of ClickHouse?

What Are G2 Users Discussing About ClickHouse?

dbForge Studio for MySQL

dbForge Studio for MySQL is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. Devart's MySQL GUI tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Average Rating: 4.7/5.0

Total Reviews: 98

How Do G2 Users Rate dbForge Studio for MySQL?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.8/10)
  • Data dictionary: 8.8/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.8/10 (Category avg: 8.5/10)
  • Data Migration: 8.7/10 (Category avg: 8.4/10)

Who Is the Company Behind dbForge Studio for MySQL?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 70% Small, 22% Medium

What Do G2 Reviewers Say About dbForge Studio for MySQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficient database management capabilities of dbForge Studio, enhancing their workflow and productivity.
  • Users value the efficient data management features in dbForge Studio for MySQL, streamlining database comparison and updates.
  • Users find dbForge Studio for MySQL's features invaluable, enhancing productivity with time-saving tools and intuitive design options.
  • Users find the ease of use of dbForge Studio for MySQL greatly simplifies database design and maintenance.
  • Users value the efficient reporting tools in dbForge Studio for MySQL, enhancing productivity and saving time.
Cons
  • Users face autocomplete issues that hinder their coding efficiency and desire better customization options for snippets.
  • Users find the difficult learning curve in dbForge Studio for MySQL hinders effective usage and productivity.
  • Users find the product quite pricey, which affects their overall satisfaction despite its many features.
  • Users desire more customization options in dbForge Studio for MySQL to enhance their coding experience.
  • Users desire more customization and AI integration for code completion, seeking improved flexibility and usability.

What Are Recent G2 Reviews of dbForge Studio for MySQL?

What Are G2 Users Discussing About dbForge Studio for MySQL?

Actifio

Actifio provides a highly scalable copy data management platform that virtualizes application data to improve the resiliency, agility, and cloud mobility of your business. It addresses key enterprise use cases including backup modernization, disaster recovery, data migrations, vaulting to the cloud (Google Cloud or others), provisioning for application dev/test and DevOps and analytics - all from a single platform It works by virtualizing data in much the same way other technologies have virtualized compute and networking, and then letting you use virtual copies of current, complete production data in its native format for whatever use cases your business needs or dreams up. - See more at: http://www.actifio.com/

Average Rating: 4.8/5.0

Total Reviews: 11

How Do G2 Users Rate Actifio?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.8/10)
  • Data dictionary: 7.9/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.8/10 (Category avg: 8.5/10)
  • Data Migration: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind Actifio?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Company Size: 36% Small, 36% Large

What Do G2 Reviewers Say About Actifio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast data backup and space-saving features of Actifio for efficient data management.
  • Users appreciate the fast data backup capabilities of Actifio, benefiting from efficient storage management.
  • Users value the fast data backup and storage space savings provided by Actifio's storage solutions.
  • Users value the time-saving capabilities of Actifio, enabling fast data backup and efficient storage management.
Cons
  • Users find the complex pricing of Actifio to be confusing, making setup and budgeting challenging.
  • Users find Actifio's pricing to be expensive, along with a complicated setup process that adds to the frustration.
  • Users find the installation difficulty of Actifio frustrating, compounded by unclear pricing structures.
  • Users find Actifio's interface challenging, highlighting the poor UI that impacts the overall usability of the product.

What Are Recent G2 Reviews of Actifio?

What Are G2 Users Discussing About Actifio?

Neo4j Graph Database

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher on Apache Spark (CApS) and Cypher for Gremlin.), Neo4j ETL and Kettle for data integration, and numerous additional tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease. And the world's largest community to help enable any graph journey. Neo4j is the leading scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Average Rating: 4.5/5.0

Total Reviews: 131

How Do G2 Users Rate Neo4j Graph Database?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.8/10)
  • Data dictionary: 8.3/10 (Category avg: 8.5/10)
  • Backup and Recovery: 10.0/10 (Category avg: 8.5/10)
  • Data Migration: 5.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Neo4j Graph Database?

  • Seller: Neo4j
  • Year Founded: 2007
  • HQ Location: San Mateo, CA
  • Twitter: @neo4j
    47,112 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,063 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Small, 30% Medium

What Do G2 Reviewers Say About Neo4j Graph Database?

AI-generated summary from verified user reviews

Pros
  • Users appreciate how Neo4j's natural modeling of complex relationships optimizes queries for interconnected data efficiently.
  • Users appreciate the design flexibility of Neo4j, enabling efficient modeling of complex relationships in interconnected data.
  • Users appreciate the ease of use with Neo4j, valuing its intuitive representation of complex relationships in data.
  • Users appreciate the intuitive modeling of complex relationships in Neo4j, enhancing data exploration and query efficiency.
  • Users appreciate the flexibility of Neo4j, enabling efficient representation and querying of complex, interconnected data.
Cons
  • Users face backup issues with Neo4j, finding backup and restore processes complex for extensive historical data management.
  • Users face data management issues with Neo4j, particularly with backup complexity and importing data from various sources.
  • Users find learning Neo4j's complex Cypher query language and backup processes challenging, especially transitioning from SQL backgrounds.
  • Users face import issues with Neo4j, complicating data transfers from structured sources like Wiki pages.
  • Users face a challenging learning curve with Neo4j, especially transitioning from SQL and managing complex queries.

What Are Recent G2 Reviews of Neo4j Graph Database?

What Are G2 Users Discussing About Neo4j Graph Database?

Toad Edge

Your next-gen toolset for open source relational database environments.

Average Rating: 4.5/5.0

Total Reviews: 16

How Do G2 Users Rate Toad Edge?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Toad Edge?

  • Seller: Quest Software
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®
  • Ownership: NYSE: DGX

Who Uses This Product?

  • Company Size: 44% Large, 25% Small

What Are Recent G2 Reviews of Toad Edge?

EDB Postgres AI for CloudNativePG

EDB Postgres AI (EDB PG AI) is a sophisticated software solution designed to enhance the deployment and management of Postgres database clusters on Kubernetes. This product specifically addresses the complexities introduced by Kubernetes, enabling organizations to streamline their operations while ensuring high availability and security for their data-intensive applications. By leveraging enterprise-grade Kubernetes operators, EDB PG AI facilitates automated lifecycle management of Postgres databases, making it an essential tool for organizations looking to optimize their cloud-native environments. The target audience for EDB PG AI includes infrastructure and platform engineers who are responsible for managing complex systems at scale. As organizations increasingly adopt Kubernetes for their cloud-native applications, the need for robust database management solutions becomes critical. EDB PG AI simplifies the deployment of Postgres databases, allowing teams to focus on their core responsibilities without getting bogged down by the intricacies of database operations. The solution is particularly beneficial for organizations that require consistent, compliant, and high-performance data management across distributed environments. Key features of EDB PG AI include cloud-native automation, which allows for the seamless administration of databases across multiple regions and clusters. This automation is achieved through a declarative configuration that integrates with the Kubernetes API, enabling users to deploy, manage, and monitor their Postgres instances with ease. Additionally, the solution minimizes operational overhead by providing consistent operations that reduce the likelihood of human error. With EDB's extensive expertise in both Postgres and Kubernetes, organizations can confidently implement best practices and maintain alignment with evolving cloud-native methodologies. Another significant advantage of EDB PG AI is its self-healing architecture. This feature automates the recovery and rejoining of failed Postgres nodes, significantly reducing the manual effort required to maintain operational continuity. Automated failover, backup, recovery, and rolling upgrades ensure that organizations can quickly restore functionality without compromising performance. By addressing the challenges of deployment complexity, operational overhead, and costly downtime, EDB PG AI positions itself as a vital resource for organizations seeking to maximize the potential of their Kubernetes environments while maintaining the integrity of their data.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate EDB Postgres AI for CloudNativePG?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.8/10)
  • Data dictionary: 8.3/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.7/10 (Category avg: 8.5/10)
  • Data Migration: 8.5/10 (Category avg: 8.4/10)

Who Is the Company Behind EDB Postgres AI for CloudNativePG?

  • Seller: EnterpriseDB (EDB)
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Bedford, US
  • Twitter: @EDBPostgres
    8,631 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,537 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 39% Medium

What Do G2 Reviewers Say About EDB Postgres AI for CloudNativePG?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the enterprise-grade PostgreSQL capabilities of EDB Postgres AI for CloudNativePG, enhancing their Kubernetes experience.
  • Users value the seamless integration of enterprise PostgreSQL capabilities into Kubernetes, enhancing operational efficiency and scalability.
  • Users value the Kubernetes-native design of EDB Postgres AI for CloudNativePG, enhancing operational simplicity for DevOps teams.
  • Users value the high availability of EDB Postgres AI for CloudNativePG, ensuring reliable operations in Kubernetes environments.
  • Users value the excellent performance of EDB Postgres AI, enhancing daily operations with smarter insights and easier tuning.
Cons
  • Users express concerns about the expensive licensing of EDB Postgres AI, especially for smaller teams and startups.
  • Users face a steeper learning curve with EDB Postgres AI, requiring training in multiple complex areas for effective use.
  • Users find the overwhelming features of EDB Postgres AI can complicate setup and increase operational complexity.
  • Users find EDB Postgres AI for CloudNativePG to be expensive, with added complexity increasing operational overhead for small teams.
  • Users find the complex pricing of EDB Postgres AI can create initial friction and a steep learning curve.

What Are Recent G2 Reviews of EDB Postgres AI for CloudNativePG?

What Are G2 Users Discussing About EDB Postgres AI for CloudNativePG?

SQLyog

SQLyog helps developers and database administrators (DBAs) to create and manage MySQL databases with ease. SQLyog is the most complete & easy MySQL GUI tool that helps save time & increase productivity through numerous powerful features such as autocomplete, query building, query profiler, Visual Schema designer and much more. →How developers & DBAs benefit : Making databases from scratch or refining existing databases can be a tedious task. SQLyog MySQL GUI tool simplifies the entire process for a developer or DBA, thus saving time in the effective management of MySQL databases. Creating tables and build relationships between the tables in a database gets as simple as a drag-n-drop. Developers can enable the drag-n-drop feature using the Visual Schema designer and determine the optimal column types, redundant indexes which will fit more data into memory thereby improving response time. → Makes it simple to manage MySQL databases: SQLyog MySQL GUI tool helps developers search data across large databases with tables having numerous columns without worrying about the underlying schema. It is simple and fast to schedule backup of the data as a precautionary measure in case of a server breakdown at regular intervals and easily restores any previous sessions along with all queries and history tab.

Average Rating: 4.5/5.0

Total Reviews: 50

How Do G2 Users Rate SQLyog?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.8/10)
  • Data dictionary: 8.8/10 (Category avg: 8.5/10)
  • Backup and Recovery: 9.0/10 (Category avg: 8.5/10)
  • Data Migration: 8.8/10 (Category avg: 8.4/10)

Who Is the Company Behind SQLyog?

  • Seller: Webyog
  • HQ Location: Houston, Texas
  • Twitter: @WebyogJobs
    362 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Medium, 38% Small

What Are Recent G2 Reviews of SQLyog?

What Are G2 Users Discussing About SQLyog?

ClusterControl

ClusterControl enables you to implement full lifecycle automation for your open-source database footprints in on-premises, in the cloud, or in hyrbrid environments. ClusterControl supports MongoDB, Elasticsearch, TimescaleDB, Redis, Vlakey, Galera, SQL Server on Linux, PostgreSQL, MariaDB and MySQL.

Average Rating: 4.4/5.0

Total Reviews: 16

How Do G2 Users Rate ClusterControl?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.8/10)
  • Data dictionary: 6.4/10 (Category avg: 8.5/10)
  • Backup and Recovery: 8.7/10 (Category avg: 8.5/10)
  • Data Migration: 7.8/10 (Category avg: 8.4/10)

Who Is the Company Behind ClusterControl?

  • Seller: Severalnines
  • Year Founded: 2011
  • HQ Location: Dunö, SE
  • Twitter: @severalnines
    1,873 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    41 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 38% Large, 31% Small

What Do G2 Reviewers Say About ClusterControl?

AI-generated summary from verified user reviews

Pros
  • Users commend the superb documentation and help resources, contributing to a straightforward and effective experience.
  • Users find the ease of use in ClusterControl remarkable, thanks to its straightforward interface and excellent documentation.
  • Users praise the straightforward interface and excellent documentation of ClusterControl, enhancing their overall experience.
Cons
  • Users criticize the cost concerns related to pricing per managed node with ClusterControl, impacting affordability.

What Are Recent G2 Reviews of ClusterControl?

Apache Geode

Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing.

Average Rating: 4.4/5.0

Total Reviews: 20

How Do G2 Users Rate Apache Geode?

  • Has the product been a good partner in doing business?: 7.6/10 (Category avg: 8.8/10)
  • Data dictionary: 8.9/10 (Category avg: 8.5/10)
  • Backup and Recovery: 9.2/10 (Category avg: 8.5/10)
  • Data Migration: 8.8/10 (Category avg: 8.4/10)

Who Is the Company Behind Apache Geode?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 45% Small, 30% Medium

What Are Recent G2 Reviews of Apache Geode?

What Are G2 Users Discussing About Apache Geode?

dbForge SQL Complete

Write, beautify, refactor your code easily and boost your productivity dramatically due to the features that are included in SQL Complete but are lacking in SSMS and Visual Studio IntelliSense: - Smart IntelliSense-style SQL completion - Great code snippet collection - T-SQL Code Analysis - SSMS tab coloring & document sessions - Intelligent renaming of aliases and variables - Advanced customizable code formatting - Fatal execution warning reminder - Results grid aggregates & data visualizer

Average Rating: 4.6/5.0

Total Reviews: 56

How Do G2 Users Rate dbForge SQL Complete?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.8/10)
  • Data dictionary: 9.2/10 (Category avg: 8.5/10)
  • Backup and Recovery: 9.8/10 (Category avg: 8.5/10)
  • Data Migration: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind dbForge SQL Complete?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 62% Small, 24% Medium

What Are Recent G2 Reviews of dbForge SQL Complete?

What Are G2 Users Discussing About dbForge SQL Complete?

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