Timeplus Enterprise v2.7 is now Generally Available! See what's new in our announcement post

Webinar: Stream Data into Apache Iceberg with Timeplus. Register -->

Offload Real-Time Workloads from Data Warehouses

A fast, unified, and efficient real-time data engine that simplifies stateful and stateless data processing, powering diverse workloads like real-time pipelines, incremental processing, mutability, alerting — anytime, anywhere.

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TRUSTED BY ENTERPRISES FOR MISSION-CRITICAL USE CASES

Real-Time Pipelines

Crypto

“We tried countless tools and rewrote our pipeline multiple times. Timeplus was the first solution that let us index the full Ethereum chain—and now, any chain—in real-time. It’s transformed how we deliver data to our customers.”

Mathew Haji

Founder, Zyre

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60% +

Reduction in memory usage

700k EPS

Peak indexing throughput

50%

Reduction in infrastructure costs

Financial Services

Trade Intelligence

"Timeplus saves us from writing thousands of lines of code and hundreds of hours of development. The ability to monitor and analyze massive amounts of real-time investment data leads to greater risk control and cost analysis."

Wang Ling

Head of IT, Huatai Securities

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300+

Real-time quantitative trading monitoring indicators

100k EPS

Daily throughput, 5 hours per day

99.99%

Near perfect uptime, uninterrupted access

Telecommunications

Live Dashboards

"Using Timeplus and Grafana together has been awesome! Timeplus simplifies a delicate manual transform process into an automatic SQL-based process, turning repetitive full queries into streaming incremental updates."

Jason Patterson

Director of Network Architecture, RocNet Supply

Stream Processing

Network Security

"Compared to our previous Flink and Doris setup, Timeplus reduced our CPU and memory consumption by 70%, while consistently delivering superior streaming data processing performance."

Guangli Han

Chief Technology Officer, StarCross Technology

WHY TIMEPLUS?

Unified Streaming and Historical Data Processing

Internal Write Ahead Log (WAL) and Historical Store

Append-Only and Mutable Streams

Optimize performance with different stream types

Multi-JOINs and ASOF JOINs

Enrich and correlate events in streaming queries

Python and JavaScript UDF

Extend Timeplus with custom logic for both stateless and stateful queries

External Stream, External Tables

Execute federated queries across native data sources in real-time

All in a Single Binary

Lightweight, fast, and efficient, runs in bare-metal or Kubernetes environments

UNIFIED • SIMPLIFIED • AFFORDABLE

Revolutionize Streaming Analytics for

Trade Surveillance

Timeplus unifies real-time streaming and historical data in a single binary, implementing mission-critical workloads to act on fast changing events and insights, deployable from the edge to the cloud.

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TRUSTED BY

A fast, unified and efficient real-time data engine that simplifies stateful and stateless data processing, powering diverse workloads like real-time pipelines, incremental processing, mutability, alerting — anytime, anywhere.

Webinar: Stream Data into Apache Iceberg with Timeplus. Register -->