Capability 1
37× peak throughput
50,912 events/s peak vs 1,375 for Logstash — 72% lower CPU and 69% lower RAM at the same load.
ETL & Data Pipeline
NextPipe
Logstash, but 32× faster on 11× less CPU.
NextPipe runs high-throughput ETL and data-integration pipelines with NextDB and BigQuery sinks — pluggable, fast, and locked-tight reliability for the teams replacing Logstash.
A high-throughput, low-footprint replacement for Logstash and heavyweight ETL orchestration, built to feed NextSearch, NextDB, and BigQuery.
32×
More events/sec than Logstash
11×
Lower CPU footprint
6.8×
Faster BigQuery sink
0%
Error rate at 5,000-event input
Operational workflow
From product surface to measurable outcome.
Each NextBricks product is built as a deployable platform component, not a loose demo. Teams can operate it standalone or wire it into the full Data AI Platform.
Step 1
Capture events
Step 2
Transform safely
Step 3
Route to sinks
Step 4
Monitor throughput
Product capabilities
Capability 2
Pluggable sinks
Native connectors for NextDB, BigQuery, Snowflake, Elasticsearch, and S3 with no JVM tuning.
Capability 3
Lower cost per event
0.22 cores sustained for the same pipeline that pins Logstash, so you run more pipelines per node.
Capability 4
Reliable at scale
Clean BigQuery commits while Logstash shed events — backpressure-aware with retry-safe delivery.
Capability 5
JDPA remediation workflows
Live pipeline controls model Tyk → Kafka → Logstash replacement flows into Elasticsearch, BigQuery, and NextDB with DLQ handling and compliance audit routing.
Capability 6
Operational search
Pipeline operators can search pipeline inventory, inspect produced data, preview downstream tables, and run full remediation workflows from one control plane.
Where teams use it
Log and event ingestionELT into NextDB, BigQuery, and SnowflakeSearch indexing pipelinesChange-data-capture transformsLogstash migration and consolidation
Product proof
Screens, battlecards, and architecture.
