DbVisualizer 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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Signalmash is a communications platform built for teams that need both robust infrastructure and direct, responsive support from real people.
Instead of layered plans and slow ticket systems, we provide straightforward access to experts who help you move faster and improve customer engagement. Enterprise customers collaborate with our engineers through a dedicated Slack workspace.
Our platform connects directly to Tier-1 carriers including AT&T, Verizon, and T-Mobile, and delivers a 94% first-time approval rate for 10DLC registrations.
Capabilities
Messaging
SMS (10DLC, short code, toll-free)
RCS messaging with rich media via API and no-code tools
Voice
SIP trunking, VoIP, inbound and outbound calling
Numbers & Identity
Local, toll-free, and short code numbers
Branded Caller ID (BCID)
Data & Lookup
CNAM (caller ID) data
Carrier and line-type identification (wireline vs. wireless)
Federal DNC status checks
Signalmash brings together carrier-grade performance with a hands-on, partnership-driven support experience.
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Azure Blob Storage
Azure Blob Storage offers a highly scalable and secure solution for object storage, specifically designed to meet the demands of cloud-native applications, data lakes, archives, high-performance computing, and machine learning projects. It allows users to create data lakes that align with their analytical needs while providing strong storage options for the development of responsive cloud-native and mobile applications. With its tiered storage capabilities, organizations can efficiently manage costs associated with long-term data storage while retaining the agility to scale resources for intensive high-performance computing and machine learning tasks. Built to fulfill the requirements of security, scalability, and availability, Blob storage is an essential asset for developers working on mobile, web, and cloud-native applications. Moreover, it significantly contributes to serverless architectures, particularly those that leverage Azure Functions. Supporting popular development frameworks such as Java, .NET, Python, and Node.js, Blob storage is distinguished as the only cloud storage service that offers a premium SSD-based object storage tier, which is optimized for low-latency and interactive applications. This adaptability and wide-ranging functionality make it a crucial resource for enterprises aiming to refine their cloud strategies, ultimately driving innovation and efficiency across various sectors.
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Gilhari
Gilhari is a microservice framework that facilitates the persistence of JSON objects within a relational database environment. Available as a Docker image, this framework can be tailored to suit the specific object or relational model of any application. Gilhari offers a REST (Representational State Transfer) interface for its APIs, enabling users to execute CRUD (Create, Retrieve, Update, Delete) operations on JSON objects that are unique to their applications.
Some notable features of Gilhari include:
* A metadata-driven approach that is independent of object models and agnostic to databases
* Simple customization and configuration options for your JSON object models
* The ability to map JSON attributes directly to table columns, which enhances querying capabilities and performance
* Support for intricate object modeling, including one-to-many, many-to-one, and many-to-many relationships
* The framework eliminates the need for writing any code to manage REST APIs (POST/GET, PUT/DELETE), facilitate data exchange (CRUD), or establish database schemas, streamlining development processes. This allows developers to focus on building their applications without getting bogged down by backend complexities.
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