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RetoolRetool is an AI-driven platform that helps teams design, build, and deploy internal software from a single unified workspace. It allows users to start with a natural language prompt and turn it into production-ready applications, agents, and workflows. Retool connects to nearly any data source, including SQL databases, APIs, and AI models, creating a real-time operational layer on top of existing systems. The platform supports AI agents, LLM-powered workflows, dashboards, and operational tools across teams. Visual app building tools allow users to drag and drop components while seeing structure and logic in real time. Developers can fully customize behavior using code within Retool’s built-in IDE. AI assistance helps generate queries, UI elements, and logic while remaining editable and schema-aware. Retool integrates with CI/CD pipelines, version control, and debugging tools for professional software delivery. Enterprise-grade security, permissions, and hosting options ensure compliance and scalability. The platform supports data, operations, engineering, and support teams alike. Trusted by startups and Fortune 500 companies, Retool significantly reduces development time and manual effort. Overall, it enables organizations to build smarter, AI-native internal software without unnecessary complexity.
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Bacula EnterpriseBacula Enterprise provides backup and recovery for enterprise, HPC, defense, government and research environments. Developed by Switzerland-based Bacula Systems, it protects physical, virtual, container, database, SaaS and cloud workloads from one platform. Support data sovereignty with on-premises deployment without mandatory cloud control planes, call-home licensing or continuous internet access. Retain control over backup location, infrastructure, encryption keys and recovery procedures. Strengthen ransomware resilience with physically air-gapped tape, offline copies, immutable storage options, encryption, MFA, access controls and file integrity verification. For petabyte-scale HPC datasets, HPC Accelerator, parallel processing and Lustre, GPFS and ZFS integrations help protect large file populations. Use disk, tape, object storage and cloud targets, with no licensing charges based on protected data volume. VM coverage includes VMware vSphere/ESXi, Hyper-V, Proxmox, Nutanix AHV, XenServer, XCP-ng, KVM, QEMU, Libvirt, Red Hat Virtualization, OpenStack, Amazon EC2 and Azure VMs. Protect Kubernetes, OpenShift and Docker containers. Database coverage includes Oracle, SQL Server, PostgreSQL, MySQL, Percona for MySQL, MariaDB, SAP HANA, Sybase ASE, IBM Db2, MongoDB and InterSystems IRIS, plus Amazon RDS integration. Other workloads include Hadoop HDFS, Microsoft 365 and Google Workspace. BWeb administration, scheduling, monitoring, reporting, deduplication and compression simplify operations. Restore files, application data, VMs and supported bare-metal systems. Its open-core architecture combines Bacula's open-source foundation with enterprise-only plugins, security features, management tools and commercial support. Configure plugins, retention policies, storage and support to match your security requirements and recovery objectives. Contact Bacula Systems for a demonstration or evaluation.
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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DbVisualizerDbVisualizer is a universal database management solution that helps organizations of all sizes work efficiently with relational and NoSQL databases. Built for developers, DBAs, analysts, and data engineers, it scales from startups to teams managing complex environments. The platform combines a SQL editor with autocomplete, visual query builders, and execution tools for database development and querying. An AI Assistant resolves errors and explains code, while built-in Git integration supports version control and collaboration. Teams can customize layouts, key bindings, and UI themes, mark frequent scripts and objects as favorites, and apply configurable security settings to meet compliance requirements. DbVisualizer connects to major databases including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery, and runs on Windows, macOS, and Linux. With nearly 7 million downloads and Pro users in 150 countries, it's a proven fit for businesses of any size.
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TIMiHigh-Performance Data Engineering. 100% Sovereign. TIMi delivers the full power of a enterprise data cloud—on-premises, fully sovereign, and blisteringly fast. No vendor lock-in. No hidden costs. Just pure engineering excellence that gives your team total freedom to experiment, innovate, and solve your toughest AI and automation challenges in record time. The TIMi Advantages: No-Code Integration: Automate complex workflows and connect your entire tech stack instantly—from SAP and Salesforce to SharePoint and Google BigTable. Radical Efficiency: Competitors such as Databricks, Dataiku, and MS Fabric relies heavily on a Spark back-end. Spark quickly burns budget because of bloated Java virtual machines. TIMi strips away the waste with pure, bare-metal, hand-optimized assembly code. The result: A single €2k TIMi server outperforms a 267-node Spark cluster, processing billions of rows in seconds and effortlessly running petabyte-scale data lakes at a fraction of the cost. Pioneering AI: Harness advanced machine learning built on the legacy of the first Auto-ML engine (pioneered in 2007). Available on-premises or via our EU-Hosted Sovereign Cloud. Trusted across Telecoms, Banking, Manufacturing, Retail, Defense, and Government.
What is Yandex Managed Service for GitLab?
A robust solution for managing the GitLab DevOps platform within the Yandex Cloud infrastructure is now offered. Each GitLab instance operates on its own dedicated virtual server, guaranteeing that resources remain exclusive to individual clients. Daily backups are in place, ensuring that your data is secure and safeguarded. Yandex Cloud handles all aspects of management, including customer support, updates, and backup operations. You maintain full control over repository modifications and can customize the required review process according to specific target branches and the components of the merge request. Furthermore, you can meticulously manage the workflow of every task. Centralized user management is achievable through a corporate user database, which supports LDAP and other authentication methods. You have the freedom to choose your desired configuration, designate a unique domain, and commence the creation of your instance. After the instance is set up, you can adjust the runtime environment to your specifications and begin interacting with the repository effectively. This service not only streamlines your development workflows but also ensures high levels of security and management efficiency, making it an ideal choice for teams looking to enhance their DevOps practices. With this comprehensive approach, organizations can focus on development without worrying about infrastructure complexities.
What is Morph by Modelcode?
Morph is a cutting-edge platform that utilizes AI to simplify the modernization of code by enabling the migration of repositories across different technology stacks while allowing engineering teams to retain control. Users can easily connect various GitHub repositories, express their goals in clear terms, and configure the parameters for application installation, building, execution, health checks, and testing. The platform conducts a thorough analysis of the codebase, carefully documenting its architecture, frameworks, dependencies, relationships between components, patterns, and conventions, ultimately generating an extensive Project Spec for team evaluation and approval before any code is produced. The modernization journey is thoughtfully divided into smaller, more manageable milestones rather than presenting a single, daunting overhaul, with each milestone delivered via a pull request, offering teams the opportunity to review, comment, and merge at their convenience. Moreover, Project Knowledge serves as a centralized hub for migration scope, lifecycle configurations, milestones, documentation, design decisions, and enforceable guidelines, promoting a collaborative atmosphere where team members can share context that adapts throughout the project’s life cycle, thereby ensuring clarity and consistency in decision-making. This structured approach not only improves collaboration but also empowers teams to exercise control over their modernization efforts, fostering a sense of ownership throughout the entire process. By making the journey more transparent and manageable, Morph effectively equips teams to navigate the complexities of code modernization with confidence.
Integrations Supported
GitLab
Azure DevOps
C
C#
C++
GitHub
Go
Java
Python
API Availability
Has API
API Availability
Has API
Pricing Information
$0.012240 per GB
Free Trial Offered?
Pricing Information
$0.01 per extra credit
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Company Facts
Organization Name
Yandex
Date Founded
1997
Company Location
Russia
Company Website
cloud.yandex.com/en/services/managed-gitlab
Company Facts
Organization Name
Modelcode
Company Location
United States
Company Website
modelcode.ai/
Categories and Features
Database
Not specified
Categories and Features
AI-Augmented Code Modernization Tools
Not specified