โœจ Free Tier: Sandbox Edition

Stream APIs to
any Data Warehouse withSQL.

Stop debugging Python ETL scripts.
Sync high-volume API data to Postgres, ClickHouse, Snowflake, and more with zero overhead.

No Credit Card Required

How It Works

Get up and running with Apitap in minutes.

1

Create Source

Choose from pre-built connectors like GitHub, Stripe, or generic REST APIs.

cloud.apitap.com/sources
Choose a connector:
๐Ÿ™
GitHub
๐Ÿ’ณ
Stripe
๐ŸŒ
REST API
๐Ÿ˜
Postgres
2

Manage Destination

Monitor your active pipelines and connected data warehouses.

cloud.apitap.com/destinations
Active Destinations2 Active
๐Ÿ˜
Postgres Production
Last synced: 2m ago
๐Ÿ“Š
ClickHouse Analytics
Last synced: 1h ago
3

Create Pipeline

Set your sync schedule and map data to your destination.

cloud.apitap.com/pipelines/new
Pipeline Name
prod_github_sync
Sync Schedule
Every 5m
Hourly
Daily
Destination
Postgres (Production)โ–ผ

14,000 Rows in 20 Seconds.

Optimized for Snowflake & BigQuery
โœ…Production Proven:18h ยท 30-70 MiB ยท 1,080+ runs

ApiTap is purpose-built for low-memory environments. We tested it against industry standard Python ETL scripts on a t3.micro instance (1 vCPU, 0.5GB RAM).

Memory Consumption (MB)

Typical Python ETL (Pandas/Airbyte CDK)~450MB+
Risk of OOM Kill on small instances
ApiTap
28MB
Safe for shared/containerized environments
250MB
Peak memory usage for heavy JSON transformations
0.5vCPU
Required to saturate a 100Mbps Postgres connection
ZeroCopy
Data is streamed directly from network buffer to Apache Arrow format without intermediate allocations.
โšก Performance First

Why It's So Fast

Engineered for speed and efficiency from the ground up.

Vectorized Processing

Built on Apache DataFusion. Uses vectorized execution and zero-copy memory management for maximum throughput.

Safe & Predictable

Aggressive memory management with custom jemalloc tuning. No bloat, no OOM kills, predictable footprint.

Zero-ETL & In-Flight

Transform data before DWH load using Apache DataFusion. Save massive compute credits on Snowflake/BigQuery.

Smart Incremental Loads

Apitap can handle incremental load by date, ensuring you only process new data and save on compute costs.

Destinations Roadmap

Bringing low-latency sync to your favorite warehouse.

LIVE NOW

PostgreSQL

v14 - v17 Support
Q1 2026

ClickHouse

Real-time Analytics
Q2 2026

Cloud Warehouses

Snowflake, BigQuery, Databricks
Note: UI previews may include upcoming destinations for demonstration purposes

Why ApiTap?

Modernizing the ELT stack by removing the bloat.

FeatureApiTapLegacy ELT Tools
Pipeline LogicStandard SQL (Common Table Expressions)Python Scripts / Java Classes
Memory Footprint~50MB - 300MB4GB - 16GB (Requires JVM)
Execution EngineNative Rust (Apache DataFusion)Python Interpreter / Java Virtual Machine
DeploymentSingle Binary or 25MB Docker ImageMultiple Containers (Worker, Scheduler, Web)
Cost to Run$5/mo (Standard VPS)$500+/mo (Managed) or High Cloud Bills
Cloud Edition

Build with SQL.
Run in Sandbox.

Don't want to manage Docker containers? Customize your pipelines with SQL and simple clicks, and let us handle the infrastructure.

SQL & Click Builder

Customize logic with SQL and click actions.

Serverless Execution

No servers to provision or patch.

Free Sandbox

Explore and build without cost.

Free Developer Sandbox
API
SQL
DB

Simple Pricing

Free Sandboxfor public projects.

Resource limited, but with no time limitation. Ideal for testing and hobby projects.

Production Cloud

Launching Next Month