Happy Holidays from Timeplus! A 2025 Recap

2025: A Year of Scaling to Real-World Impact

It's been another wonderful year of building at Timeplus, and more importantly, a year of scaling our product in the real world!

Across both our enterprise product and open-source engine, we stayed focused on a simple goal: making real-time data pipelines easy to build, operate and scale. Our focus translated into deeper production usage, larger workloads, and broader customer adoptions across industries.

We’re deeply grateful to our customers, partners, and community for the trust, feedback, and momentum that shaped our year.

Here’s our 2025 recap at Timeplus:

Scaling the Right Focus: Operational Telemetry Pipelines

This year, we doubled down on Timeplus as an operational telemetry pipeline, processing both system and business signals, from logs, metrics, trace to real-time business operations data. 

Rather than expanding horizontally, we went deeper, guided by clear customer pain points,  to make it dramatically easier to filter, dedup, transform, aggregate, alert, and route operational data in real-time.

Today, Timeplus serves as a single real-time compute engine for operational data, powering:

• Security & Observability pipelines for logs, events, metrics, and traces

• Business operational pipelines for real-time business metrics

• AI/ML operational data pipelines for real-time context and features

All within one declarative SQL-based pipeline model.

In 2025, forward-thinking companies across online entertainment, telecommunications, fintech, energy, and network infrastructure trusted Timeplus to run mission-critical real-time data infrastructure — not prototypes, but systems that teams depend on everyday. This focus reduced complexity and made real-time pipelines easier to operate at scale.

We also significantly expanded our security and observability integrations, with native support for Syslog, Splunk HEC and S2S, server-to-server ingestion, and OpenTelemetry, allowing teams to process high-volume telemetry directly from existing systems like Splunk into Timeplus.

Our goal: meet operational telemetry where it lives, process it fast, and make it immediately valuable and actionable.

As one customer put it best:

Check out our Timeplus demos to explore more.

Scaling to Mission-Critical Workloads

2025 was also the year Timeplus proved itself under large, always-on production workloads.

Customers now run Timeplus at the core of security & observability, network operations, and real-time business insights. Scaling here meant more than raw throughput — it meant predictable performance, high reliability, and operational simplicity as data volumes and use cases grew.

Our recent Timeplus 3.0 release is built for a new era of real-time workloads that demand efficiency, scalability, and observability by design. Powered by a highly efficient vectorized stream-processing engine built in modern C++, Timeplus scales seamlessly from low-latency, zero-dependency edge workloads to massive scale, cloud-native systems.

We’re seeing this every day in real deployments,  millions of events per second, tens of millions of high-cardinality signals processed in real-time, real-time security threat detections,  risk scoring, recommendations, fraud detection, and AI/ML context in real-time. Our pipeline engine can scale out to 50GB/s or more automatically, or scale in for resource efficiency per spiky data. 

Scaling Customer Impact

On the business side, 2025 was all about scaling customer impacts. Rather than chasing broad, horizontal adoption, we focused on core use cases where real-time truly matters: security telemetry pipelines, business operational metrics and emerging AI/ML context workloads. As a result, many new deals,  along with renewals and expansions,  came from customers running

Timeplus in mission-critical environments across financial services, gaming, network infrastructure and energy.

We saw strong momentum in customer expansions and renewals, signaling that Timeplus is increasingly trusted as long-term infrastructure, not an experimental tool. Several customers expanded from initial pipelines into broader deployments, reinforcing our belief that real-time pipelines become more valuable as data volume and downstream complexity and cost grow. A few examples:

• Security telemetry at massive scale: A global gaming platform uses Timeplus to process high-volume telemetry and security signals in real time, unifying observability and security without added operational complexity.

• Network/devices telemetry in production: Leading network infrastructure providers run Timeplus as their real-time telemetry pipelines across massive fleets of devices, serving for downstream AI/ML models and observability platforms

• Business telemetry at scale: A Fortune 1000 financial services firm relies on Timeplus for real-time operations and alerting on mission-critical trading platforms, where latency, accuracy and reliability are non-negotiable.

Community Growth

In 2025, we’ve launched a monthly webinar series, bringing together customers, partners, and industry experts to share real-world use cases and lessons.

Featuring our customers: Jason Patterson (RocNet Supply), Ibrahim Bakhsh (Salla), Rauan Mayemir (Buhta), and Michael Freeman (ServiceRadar), 

Featuring our friends: Lisa N. Cao (Iceberg expert), Bryan Wood (Redpanda), and Michael Drogalis (ShadowTraffic).

We’re also grateful to our Timeplus Proton open-source community. This year, Timeplus grew to 2,100+ GitHub stars, and strong OSS adoptions and engagements that directly shapes our roadmap.

Looking Ahead

2025 was a year of scale, in focus, in production workloads, and in customer impact.

As we head into 2026, our direction is clear and ambitious: Becoming a control plane for operational telemetry, reducing operational complexity, and helping teams turn real-time data into real-time intelligence.

Thank you to everyone who supported Timeplus this year. We’re excited to keep building together.

Wishing you a restful holiday season and an exciting year ahead!

— The Timeplus Team

Further Reading: 

• Timeplus 3.0: The New Era of Real-Time Data Pipelines, Simplified for Massive Scale https://www.timeplus.com/post/timeplus-3-0

• Timeplus Proton 3.0: Up to 7x Performance Gains in Pipeline Processing https://www.timeplus.com/post/proton-3-0

• Why Are Your Telemetry Pipelines Failing? https://www.timeplus.com/post/rethinking-telemetry-pipelines