TerminusDB Description
Simplifying data collaboration is our mission. Whether you're a developer eager to push the boundaries of innovation or a data specialist seeking effective version control, our platform caters to all needs. TerminusDB is an open-source knowledge graph database designed to facilitate secure, efficient, and private revision control and teamwork. By using TerminusDB, you can enhance your productivity when collaborating with teammates or developing data-heavy applications. It offers a comprehensive set of revision control functionalities. With TerminusHub, users can oversee database access and work together on shared resources seamlessly. Our platform boasts versatile capabilities for data storage, sharing, and versioning, making it suitable for both team-based collaboration and integration into applications. You can operate locally and sync changes when you're ready. Our tools also simplify querying, data cleaning, and visualization tasks. By incorporating robust version control and collaborative features, we empower both enterprise and individual users, enabling remote data teams to collaborate efficiently on projects. Together, we can drive innovation through effective data teamwork.
TerminusDB Alternatives
deskbird
What is deskbird?
deskbird makes hybrid work simple, saves costs, optimizes office space, boosts productivity, and fosters team collaboration—all in one easy-to-use app.
Why is deskbird different?
📱 All-in-one: one app for desk booking & scheduling, no juggling required.
✅ Ridiculously easy: intuitive, no training needed—so simple a child could use it.
đź’Ş Powerful yet simple: advanced analytics, AI, desk, and resource booking tools without complexity.
🤝 Built for teams: see when colleagues are in, making collaboration effortless.
🔧 Fits your needs: works with 200+ integrations like MS Teams, Outlook or Slack.
How do you position yourself against your competitors?
We are powering the offices of tomorrow through our USPs:
1. Smart resource management: one tool to manage desk and resource booking, reducing admin workload while maximizing space efficiency.
2. Deep integrations: it works with 200+ integrations, such as MS Teams, Outlook, or Slack. Our Open API ensures flexibility for custom needs.
3. Scalability without complexity: whether managing 50 or 5,000+ employees, deskbird adapts to dynamic workplace needs with real-time user provisioning (SCIM)—all with zero training required.
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dbt
dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.
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DeepSeek-V3.2-Exp
Introducing DeepSeek-V3.2-Exp, our newest experimental model derived from V3.1-Terminus, featuring the innovative DeepSeek Sparse Attention (DSA) that enhances both training and inference speed for lengthy contexts. This DSA mechanism allows for precise sparse attention while maintaining output quality, leading to improved performance for tasks involving long contexts and a decrease in computational expenses. Benchmark tests reveal that V3.2-Exp matches the performance of V3.1-Terminus while achieving these efficiency improvements. The model is now fully operational across app, web, and API platforms. Additionally, to enhance accessibility, we have slashed DeepSeek API prices by over 50% effective immediately. During a transition period, users can still utilize V3.1-Terminus via a temporary API endpoint until October 15, 2025. DeepSeek encourages users to share their insights regarding DSA through our feedback portal. Complementing the launch, DeepSeek-V3.2-Exp has been made open-source, with model weights and essential technology—including crucial GPU kernels in TileLang and CUDA—accessible on Hugging Face. We look forward to seeing how the community engages with this advancement.
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Nebula Graph
Designed specifically for handling super large-scale graphs with latency measured in milliseconds, this graph database continues to engage with the community for its preparation, promotion, and popularization. Nebula Graph ensures that access is secured through role-based access control, allowing only authenticated users. The database supports various types of storage engines and its query language is adaptable, enabling the integration of new algorithms. By providing low latency for both read and write operations, Nebula Graph maintains high throughput, effectively simplifying even the most intricate data sets. Its shared-nothing distributed architecture allows for linear scalability, making it an efficient choice for expanding businesses. The SQL-like query language is not only user-friendly but also sufficiently robust to address complex business requirements. With features like horizontal scalability and a snapshot capability, Nebula Graph assures high availability, even during failures. Notably, major internet companies such as JD, Meituan, and Xiaohongshu have successfully implemented Nebula Graph in their production environments, showcasing its reliability and performance in real-world applications. This widespread adoption highlights the database's effectiveness in meeting the demands of large-scale data management.
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Integrations
Company Details
Company:
TerminusDB
Year Founded:
2019
Headquarters:
Ireland
Website:
terminusdb.com
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Webinars
Customer Support
Online Support
TerminusDB Features and Options
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