Timeplus

📣 We've got big news: today we announce the general availability of Timeplus Enterprise v2! With this launch, our streaming analytics platform delivers unparalleled performance, a minimal footprint, and an intuitive developer experience to users anywhere, any time.   Timeplus Enterprise v2 offers flexible deployment options: fully managed in the cloud, or self-hosted—in your data center, on your laptop, or on edge devices—to suit your advanced configuration needs.    Our Co-Founder and CEO, Ting Wang, shares more about this GA launch in a new blog post, discussing our journey so far, recent breakthroughs, and what's coming next. https://lnkd.in/gvCQXW2F

Do you want to apply #SQL -based #Observability to understand your web traffic at real-time? How familiar you are with the #nginx access log? Do you know you can generate meaningful access logs just with SQL and Timeplus RANDOM STREAM? (for more sophisticated synthetic data generation you may check shadowtraffic.io from Michael Drogalis ) Check out another great blog from Saïd, our friend in Timeplus community. He explained in detail for the nginx log format, how to parse it with Python regex, and how to generate meaningful content with random streams in Timeplus and use the rich IP/geo SQL functions, and light up a #Grafana dashboard. Blog: https://lnkd.in/gkRFzy5z Source code: https://lnkd.in/gdb25rcJ

Check out this blog article written by our Timeplus Community member, Saïd A.! 📝 In a previous blog, Saïd shared how he used Timeplus Proton to perform #realtime and #historical analysis of web traffic, using log files generated by an #Nginx server. In this new blog, Saïd expands on his analysis with data visualizations, using Grafana Labs. He demonstrates how to generate meaningful web access logs using Timeplus Proton's Random Stream feature and #SQL, also how to use rich SQL functions like ip and geo to analyze real-time network traffic data. https://lnkd.in/g79kKygv

Happy Monday everyone 👋 Want early access to our upcoming #Python UDF feature in Timeplus Enterprise? Contact us to try! Also new this week, an improved #JDBC driver for Timeplus is available, supporting both streaming and batch queries. For Timeplus Enterprise (Self-Hosted), we now have different channels for stable and latest builds, along with new #SQL commands: SYSTEM PAUSE and SYSTEM UNPAUSE. See more details in our newsletter 👇 (PS – We also added a section in the newsletter to share new pages we've added to our Docs)

📊 Timeplus Enterprise offers built-in dashboards for you to visualize data, but did you know we can also seamlessly integrate with other tools like Grafana Labs? In this demo, Jove Zhong (our Co-Founder) creates a #materializedview in his local deployment of Timeplus Enterprise, and shows live metrics in his #Grafana dashboard via the #Prometheus endpoint.

🐍➗ New in Timeplus Enterprise: Python User-Defined Functions (UDFs) Our Co-Founder Jove Zhong shares how to leverage #Python libraries, such as #pandas and #NumPy, to build UDFs. Taking financial market data as an example, Jove demos embedding Python code into #SQL syntax. Python UDF is currently a preview feature for self-hosted deployments of Timeplus Enterprise, and is not available in the cloud version. To get early access, please contact us. Using another Python library? Let us know which library and what you are looking to solve with UDFs in the comments 👇

Seamless connections with Timeplus Enterprise 🤝 With our intuitive UI wizards, you can connect to various data sources, such as #WebSocket, #NATS, HTTP stream, and more. In this demo, our Co-Founder and Head of Product, Jove Zhong, shares how to connect a WebSocket source with data from #Coinbase, run a SQL query, and create visualizations.

📣 Last week, we announced Timeplus Enterprise v2, our upgraded stream processing platform with flexible deployment options. Along with a 14-day cloud free trial, we also offer a 30-day self-hosted deployment free trial. Also new in Timeplus: 💻 Account setup, license, and monitoring (self-hosted Timeplus Enterprise) ⚙ New setting: kafka_max_message_size ↔ New function: array_fold 🗓 array_max/min functions now support datetime For more details and resources, see our newsletter 👇

📣 New in our Timeplus Enterprise v2 launch: Mutable KV Streams to support #OLTP workloads. These mutable streams are useful when the same primary key is frequently updated, and are great for certain fast operational queries (like filtering via different secondary columns) as well as retrieving large numbers of rows. Our Co-Founder and Head of Product Jove Zhong shares more in his demo.

📣 Take a look under the hood of Timeplus Enterprise v2! In this excerpt from our launch video, Sarwar Bhuiyan (our Field CTO and Head of Solutions Engineering) gives an overview of the key components in this new version of our platform, available fully managed in the #cloud, or #selfhosted in your own data center, laptop, or edge devices. Try Timeplus Enterprise on-prem with a single curl command. Visit our website for installation instructions: https://lnkd.in/gh3hs6N6 Full launch video here: https://lnkd.in/gtAR8FyG