High-performance movement for the Billions-of-Rows era
Zero-Copy. | Unbreakable.
Move production data with **Zero-Copy architecture**. Powered by **Apache Arrow ADBC** for columnar efficiency and **Temporal** for stateful reliability. High-performance pipelines built in **Go** for teams that have outgrown legacy EL tools.
source: postgres_prod
destination: clickhouse_dw
driver: adbc_columnar
orchestration: temporal_worker
sync_mode: incremental_append
concurrency: 64_workers
status: 'running' High-Performance. Zero Row-Tax.
The data migration bridge built for extreme scale.
Columnar-Native Speed
Powered by Apache Arrow ADBC to bypass row-based serialization bottlenecks and move billions of rows at native speeds.
Zero-Copy Architecture
Move data directly between production systems and warehouses with zero intermediate storage overhead or data duplication.
Unbreakable Orchestration
Temporal-backed workflows ensure your pipelines are stateful and self-healing, automatically resuming exactly where they left off after any failure.
The problem with data migration today
Moving production-scale data shouldn't be slow, brittle, or break the bank.
Legacy Driver Lag
Traditional tools rely on row-based JDBC/ODBC drivers that struggle with large-scale datasets, causing massive latency and hours of downtime during migrations.
Punitive Pricing
Market leaders charge based on total rows transferred, creating unpredictable costs that punish your company for growing its data.
Unreliable Pipelines
Standard sync jobs often break on transient errors, requiring engineering effort to monitor failures and manually restart pipelines from scratch.
Engineering Maintenance
Teams spend more time babysitting custom ETL scripts and complex connector setups than delivering actual product value.
Why we built ettaflow
We spent years building and operating data infrastructure at scale. We saw teams spend more time on plumbing than on actual data work.
The problem isn't a lack of tools — it's the lack of efficiency. Existing solutions are either too slow for billion-row datasets or they charge you for every single row you sync, making scale prohibitively expensive.
Ettaflow takes a different approach: a developer-first platform built on Apache Arrow ADBC for zero-copy efficiency and Temporal for unbreakable stateful orchestration. No row-tax. No legacy bottlenecks. Just high-performance pipelines that flow where they need to go.
Our design principles
- ✓ Performance over Row-counts
- ✓ Resiliency by Design (Temporal)
- ✓ Open Standards (ADBC/Arrow)
- ✓ Developer-First Experience
The high-performance data bridge
One control plane for unbreakable, zero-copy data pipelines.
Declarative Connections
Add source and destination credentials with secure, declarative configuration. Validate and test connections before running your first migration.
Columnar Migration
Leverage Apache Arrow’s columnar format for zero-copy data transfer. Migrate terabytes of data without the overhead of row-based serialization.
Unbreakable Recovery
Powered by Temporal, your pipelines are stateful and resilient. If a sync is interrupted, it automatically resumes exactly where it left off.
Everything you need to move data at scale
A complete toolkit for high-performance, developer-first data infrastructure.
Zero-Copy Architecture
Move production data directly from sources to destinations without intermediate storage overhead. Leveraging Apache Arrow ADBC for columnar-native efficiency, we eliminate row-by-row serialization bottlenecks.
Multi-Mode Sync Engine
Support for Full Refresh, Incremental, and CDC (Change Data Capture) sync modes. Define precise rules for table selection, schema mapping, and schedule timing to fit your workflow.
Native Performance
Built in Golang to leverage high concurrency and low-memory overhead. Optimized specifically for high-throughput migration to modern warehouses like ClickHouse and Snowflake.
Granular Control
Select specific databases, schemas, and tables for each pipeline. Easily manage and modify columns and schedules to handle evolving data needs.
Unbreakable Reliability
Powered by Temporal, every migration is a stateful workflow. Pipelines automatically recover from transient failures, resuming exactly where they left off without requiring manual re-runs.
Real-Time Monitoring
Gain full visibility into your data movement with detailed logs tracking rows processed, sync duration, and retry attempts. Built-in error messaging and execution history for every pipeline.
Built for high-performance scenarios
Common migration and sync challenges solved by the Ettaflow engine.
High-Volume Warehouse Ingestion
Hydrate Snowflake, BigQuery, or ClickHouse from production databases at native speeds. Move billions of rows without the row-based bottlenecks of legacy JDBC drivers.
- Zero-copy architecture for in-memory speed
- No "row-tax" or volume-based pricing
- Columnar-native ADBC performance
Unbreakable Production Sync
Keep production and analytical systems in sync with Full Refresh + CDC modes. Ensure data consistency even across flaky network environments.
- Temporal-backed stateful recovery
- Automatic retries on transient failures
Infrastructure Migration
Migrate legacy on-prem databases to modern cloud systems without building custom ETL scripts or expensive pipelines.
- Support for MySQL, Postgres, and SQL Server
- Developer-first setup in minutes
Complex Database Refactoring
Move and restructure production data across environments for major platform upgrades. Handle massive datasets that traditional tools fail to process reliably.
- Stateful workflows that resume where they left off
- Real-time observability and execution logs
- Zero intermediate storage overhead
Our path to Open Source
We are building in the open to create the fastest data bridge for the modern stack. Our journey starts with high-performance core connectors and ends with a global managed cloud.
Phase 1: MVP (Aug 1, 2026)
Launching core ADBC connectors for 10+ databases and warehouses for full refresh, incremental sync and CDC on schedule and automated schema evolution.
Phase 2: Ecosystem
Expanding to Amazon S3, Apache Kafka and MongoDB and notifications.
Phase 3: Managed Cloud
Launching our managed version with RBAC, webhooks, SOC 2 compliance features, and advanced usage analytics.
Help us benchmark the future
We are looking for our first 5 design partners to stress-test the Ettaflow engine.
- Direct access to founding senior developers
- Custom connector prioritization for your stack
- Shape the Open Source roadmap
Is ettaflow right for you?
We are building for teams moving billions of rows who have outgrown standard EL tools.
Ideal for teams who:
- Are moving billions of rows where traditional JDBC/ODBC drivers become a performance bottleneck.
- Are tired of "babysitting" sync jobs and need unbreakable, stateful pipelines that resume automatically.
- Want to escape the "row-tax" pricing models of traditional EL providers.
- Prefer an Open Source, developer-first approach to data infrastructure
- Value high-performance engineering stacks built on Golang, Temporal, and Apache Arrow.
Probably not a fit if:
- You need 600+ long-tail SaaS connectors (like HubSpot, Shopify, or Zendesk) rather than database-to-warehouse performance.
- Your data volume is small enough that the performance overhead and cost of legacy tools isn't a concern.
- You are a non-technical user looking for a pure No-Code platform without touching configuration files.
- You need complex, in-flight data modeling (heavy T in ETL) rather than high-speed movement and replication (EL).
Frequently asked questions
Ettaflow supports high-performance sync between major databases like PostgreSQL, MySQL, and SQL Server, and warehouses including Snowflake, BigQuery, ClickHouse, and Databricks. We support Full Refresh, Incremental, and CDC sync modes.
Most legacy tools rely on row-based JDBC/ODBC drivers, which create a massive bottleneck for large datasets. Ettaflow uses Apache Arrow ADBC for columnar-native, zero-copy movement, allowing us to move billions of rows significantly faster without charging a "row-tax".
This is where we shine. Because we use Temporal for orchestration, every migration is a stateful workflow. If a network blip or system crash occurs, the pipeline doesn't restart from zero; it automatically recovers and resumes exactly where it left off.
Yes. We are launching the core engine as Open Source on August 1, 2026. We believe high-performance data infrastructure should be transparent and accessible. A managed cloud version with advanced security features will follow.
We are actively building toward SOC 2 compliance. All credentials are encrypted, and because the core is open-source and self-hostable, your data never has to leave your VPC unless you choose our managed service.
We are looking for 5 engineering teams to help us stress-test the engine before the official launch. As a design partner, you get direct access to the founding senior developers and can prioritize the connectors your stack needs most.
Request early access
Join our private beta to help us stress-test and benchmark the fastest data bridge built on Arrow ADBC and Temporal.
You're on the list!
Thanks for your interest. We'll be in touch soon.