Timeplus

Process real-time streaming and historical data with SQL queries in a single binary

Pricing model

Free Trial

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Timeplus to process streaming data and historical records using standard SQL queries in a single lightweight binary. It connects directly to live data sources, processes incoming events with minimal latency, and writes records into internal historical storage. You can run multi-table joins, ASOF joins, and custom Python or JavaScript functions to analyze telemetry, trading feeds, or blockchain logs. Timeplus also lets you build materialized views, ingest change data capture streams, and push real-time alerts or live updates to downstream dashboards.

What Timeplus does

Run continuous streaming SQL queries on incoming event streamsJoin live streaming events with historical data using ASOF joinsCreate materialized views to precalculate metrics at high ingest ratesIngest change data capture streams into mutable database tablesWrite custom Python and JavaScript user-defined functions for event logicSend incremental real-time query updates to Grafana dashboardsArchive older streaming data partitions to Amazon S3 storageVectorized streaming SQL execution in a single lightweight binaryUnified query engine for both live event streams and historical storageSupport for multi-table joins and ASOF joins across streaming dataNative support for both append-only and mutable streaming data typesCustom user-defined functions running in Python and JavaScriptFederated queries across external data sources and tablesAutomated data tiering to Amazon S3 for historical retention

Pricing breakdown

Pricing model: Free trial

PlanList price

Cloud$199 / mo

Tutorials & Demos

Frequently asked

ClickHouse Grafana

Grafana

Splunk

Kubernetes Slack

Slack

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