?? Ready to kick off 2025 with new data solutions? ?? Meet #GreptimeDB, the next-gen time-series database for #observability! #Metrics, #Logs, and #Traces for peak performance and efficiency. ??Watch to see how we're doing!
Greptime
科技、信息和网络
Sunnyvale，CA 847 位关注者
Industry-leading time series database for IoT and Observability with real-time insights and lower costs at any scale.
关于我们
Grep All Time Series Data, Your Way Greptime offers industry-leading time series database products and solutions to empower IoT and Observability scenarios. Through real-time analytics of massive observability data from edge to cloud, Greptime enables enterprises to gain more valuable insights with less time, complexity, and cost. GreptimeDB is an open-source time series database written in Rust. Built for high speed and performance, GreptimeDB is an all-in-one data storage and processing engine for IoT and Observability scenarios from edge to cloud. By unified analysis of metrics, logs, and events, GreptimeDB delivers real-time data insights for enterprises. Based on GreptimeDB, GreptimeCloud is a fully managed Database as a Service (DBaaS) solution. It offers an out-of-the-box experience with minimal configuration, high scalability, and faster time to value. By combining multimodal edge databases with the cloud-based GreptimeDB, the Edge-Cloud Integrated solution is a collaborative data solution tailored to real-world IoT edge scenarios. it significantly reduces traffic, computation, and storage costs while enhancing data performance and providing business insights. Star us on GitHub: https://github.com/greptimeTeam/greptimedb Website: https://greptime.com/ Youtube: https://www.youtube.com/@greptime Twitter: https://twitter.com/Greptime Medium: https://medium.com/@greptime
- 网站
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https://greptime.com
Greptime的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 总部
- Sunnyvale，CA
- 类型
- 私人持股
- 创立
- 2022
- 领域
- time series database、data monitoring、observability、DBaaS、opensource、Rust和Cloud-Native
地点
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主要
获取路线
#30 440 N. Wolfe Road Sunnyvale, CA 94085
US，CA，Sunnyvale，94085
Greptime员工
动态
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?? Excited to launch the GreptimeDB Advocator Program! ?? Join us in exploring time-series databases and open-source tech while connecting with a global community of developers. ?? Know more: https://lnkd.in/gWpGaGmx #GreptimeDB #OpenSource #TechCommunity #AdvocatorProgram
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Check out #GreptimeDB’s latest biweekly report! ? Support for Jaeger query protocol ? Unified syntax for creating index ? Optimized table creation speed in metrics scenarios ? Improved write and flush performance More details: https://lnkd.in/gmZnKutw
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Welcome to our newest contributors! ?? We’re excited to have you join the GreptimeDB community! Your skills and passion will make a huge impact as we continue building and advancing the future of time-series databases. ?? Thank you for choosing to contribute and collaborate with us. Let’s create something amazing together! ?? #Welcome #NewContributor #GreptimeDB #OpenSource #TechCommunity #TogetherWeBuild
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?? Big news! ?? ?? We’ve just welcomed our FIRST #GreptimeDB Advocator Jet Deng! Together, we’ll ramp up #content, grow our #community, and fuel exciting #events to take GreptimeDB to new heights! The journey has just begun—stay tuned! #OpenSource #TechCommunity
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The increasing volume of time-series data generated by IoT devices presents significant challenges for traditional cloud-centric data solutions. In our latest article, we explores the critical need for edge-based data processing and storage to address latency, cost, and scalability limitations. Key considerations for building effective edge databases, including: - Resource Optimization:?Strategies for managing computing power and memory constraints in edge environments, including LSM tree architecture and compact in-memory data structures. - Data Compression:?Leveraging columnar storage formats and specialized encoding techniques to maximize storage efficiency. - Edge-Cloud Synchronization:?Efficiently aggregating edge data in the cloud, including zero-parsing/zero-copy approaches and pushing cloud queries to the edge. For organizations grappling with the complexities of IoT data, we provide valuable insights into building robust and scalable edge data solutions. https://lnkd.in/gkQ8jnmq What strategies have you found most effective for managing time-series data at the edge and how important is edge-cloud data integration to your IoT data strategy? Share your thought underlying and let's discuss about new solutions! #IoT #EdgeComputing #TimeSeriesData #Database #Greptime #DataManagement #DataEngineering
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?? Take a sneak peek at our 2025 #roadmap for #GreptimeDB! ?? This visual preview offers a glimpse into the exciting #upgrades and #features we have in store. Stay tuned, the future is bright! ?? #OpenSource #TechInnovation
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Tired of static rate limiting causing under-utilization or, worse, overloading your databases? Check out this insightful article on how Vector's Adaptive Request Concurrency (ARC) dynamically adjusts data flow based on real-time system stats! ARC uses RTT and HTTP response codes to optimize throughput and prevent overloads, offering a smarter, more efficient approach than static rate limiting. Learn how ARC works, how to configure it, and how it can revolutionize your observability pipeline! #observability #vector #greptime #datamanagement #performance #ARC #AdaptiveRequestConcurrency
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?? Great post by Dragonfly highlighting the evolution of modern databases! We're excited to be included in the shared-storage category alongside Databend and Neon, leveraging cloud services like S3 for infinite scalability. ?? Check out the article for insights into hybrid architectures and more! #Database #DistributedSystems #DragonflyDB
Modern distributed databases are breaking traditional boundaries, and we're seeing an exciting trend: hybrid architectures that combine the best of multiple approaches. Our latest blog explores: - ? How layered & orchestrated architectures provide flexibility, modularity, and strong consistency for distributed systems. (Yugabyte, Cockroach Labs) - ?? How shared-storage designs are leveraging cloud services like S3 for infinite scalability. (Databend, Greptime, Neon) - ?? The emergence of hybrid models that blend high availability, strong consistency, and hybrid transactional & analytical processing (HTAP) capabilities. (TiDB, powered by PingCAP, OceanBase) This is essential reading for technical leaders and architects working on scalable data solutions. https://lnkd.in/eZnZw8W2 #Database #DistributedSystems #DragonflyDB
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?? Want to boost #Rust’s performance? Here we shows how the #tokio crate allows you to manage async tasks while keeping sync code efficient, making Rust ideal for high-performance systems. Read on ???? https://lnkd.in/gVaT_V4a #Tokio #RustLang #SystemOptimization
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