DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features:
- SQL editor with autocomplete, visual query builders, variables, and execution tools
- AI Assistant for questions, error explanations, and code analysis
- Built-in Git integration for SQL scripts and collaboration
- Customizable layouts, key bindings, and UI themes
- Favorite scripts and database objects for quick access
- Configurable security settings for organizations
Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries.
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LS Central is the global POS and operations platform developed by LS Retail. It's built for mid-market and enterprise retail, restaurant, hotel, pharmacy, and gas station businesses running multiple locations, countries, or sales channels. It combines POS, inventory, pricing and promotions, loyalty, eCommerce, workforce management, analytics, and financial operations in one system, so teams work from the same data.
LS Central is ERP-agnostic. It integrates natively with Microsoft Dynamics 365 Business Central, and connects to SAP S/4HANA, Oracle, and Microsoft Dynamics through CentralConnect, LS Retail's own managed integration.
The modular design lets businesses adopt only the capabilities they need and expand over time, with global templates for consistent processes and local rules for taxation, pricing, and compliance.
AI-enhanced capabilities support demand forecasting, inventory optimization, promotion tracking, and operational reporting, with data synced in real time.
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Oxla
Purpose-built for compute, memory, and storage efficiency, Oxla is a self-hosted data warehouse optimized for large-scale, low-latency analytics with robust time-series support.
Cloud data warehouses aren’t for everyone. At scale, long-term cloud compute costs outweigh short-term infrastructure savings, and regulated industries require full control over data beyond VPC and BYOC deployments.
Oxla outperforms both legacy and cloud warehouses through efficiency, enabling scale for growing datasets with predictable costs, on-prem or in any cloud. Easily deploy, run, and maintain Oxla with Docker and YAML to power diverse workloads in a single, self-hosted data warehouse.
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