Simplify Your Data Journey

Sling is a Powerful Data Integration tool enabling seamless ELT operations as well as quality checks across files, databases, and storage systems.

Read the Docs

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See Sling in Action

Features

Streamline Your Data ETLQ

Sling gives you powers to effortlessly integrate, transform, and ensure data quality.

Swift performance

Core engine is written in Go and adopts a streaming design, making it super efficient by holding minimal data in memory.

Replicate data quickly

Easily replicate data from a source database, file or SaaS connection to a destination database or file. Define the configuration in a YAML file.

Free Command Line Tool

Sling CLI is compiled to a binary for Linux, MacOS & Windows, and can be downloaded and run in your preferred environment.

Various Load Modes

Allows modes to meet your needs, such as full-refresh, truncate, incremental (merge/append data), snapshot (append with timestamp for historical data), and backfill

Transformations

Sling provides a wide array of operations, including text encoding/decoding, data hashing, and sophisticated parsing, enabling comprehensive data manipulation post-extraction, pre-load.

Quality Checks & Monitoring

Stay ahead with automatic alerts for any schema or data deviations. Set up custom checks to ensure your data quality remains consistent.

Parallel Streams & Retries

Process data faster with parallel streams and automatic retries for failed operations, maximizing throughput and reliability.

Pipelines & Hooks

Create complex workflows with HTTP requests, SQL queries, file operations, and custom logic using hooks that trigger before or after replications.

Stream Chunking

Break down large datasets into manageable chunks with time-based, numeric, or count-based partitioning for efficient processing.

Use Cases

Built for Real-World Data Challenges

Sling handles the most common data integration scenarios with minimal configuration and maximum reliability.

Database Replication

Sync data from production databases like PostgreSQL, MySQL, or Oracle to analytics warehouses such as Snowflake, BigQuery, or Redshift. Sling handles schema detection, incremental updates, and large table transfers efficiently with its streaming architecture.

File-to-Database Loading

Load CSV, Parquet, JSON, and Excel files directly into your data warehouse. Whether from local storage or cloud buckets, Sling auto-detects schemas, handles type conversions, and supports various load modes including full-refresh and incremental append.

Cloud Storage Sync

Move data seamlessly between AWS S3, Google Cloud Storage, Azure Blob Storage, and your databases. Sling supports glob patterns for batch processing and handles authentication across cloud providers with simple YAML configuration.

API Data Extraction

Extract data from REST APIs using YAML-based specifications. Sling supports pagination, authentication, and incremental sync out of the box. Build custom API connectors or use pre-built specs for popular services like Stripe, HubSpot, and GitHub.

Connectors

Sling integrates with your favorite Databases, File Systems, and APIs

Athena

Big Query

Clickhouse

Cloudflare D1

Databricks

MySQL

Oracle

PostgreSQL

Redshift

Snowflake

SQL Server

MariaDB

DuckDB

DuckLake

MotherDuck

SQLite

StarRocks

Timeplus Proton

Trino

MongoDB

Prometheus

AWS S3

Azure Blob Storage

Backblaze B2

Cloudflare R2

DigitalOcean Spaces

Google Storage

Min IO

SFTP

FTP

Wasabi

Custom API Spec

Airtable

GitHub

HubSpot

Stripe

Gmail

Cloudflare Analytics

sling run --src-stream

Run with CLI Flags

You can run with CLI flags. This is useful if you want to run a one-off or specific stream replication, or if you want to specify a different connection from the one defined in your Sling Env File.

See CLI Docs

sling run -r replication.yaml

Use YAML Configs

You can also easily define your replications in YAML files. You're able to specify default values as well as naming patterns! Check the docs here for more details.

See Replication Docs

sling conns list

List all Configured Connections

With the list sub-command, we can display all connections available in our environment. This includes connections from our Sling Env File as well as Environment Variables. Oh, are your using dbt profiles? Sling picks those up too!

See Examples

sling conns test

Test Connectivity

The Sling CLI tool also allows testing connections. Once we know the connection name, we can use the sling conns test command.

See Docs

sling conns discover

Discover Available Streams

The discover sub-command displays which streams are available for sling is read from for a particular connection. You can even filter by schema for database connections, or by folder for storage connections.

See Docs

Next Level:
Sling Data Platform

Learn More

Web UI
Parallel Stream Runs
Compiled Replication View
Alerting
Self-Hosted Agent
Rest API
Observability / Monitoring

Testimonials

Hear from Sling Users

Just checking out Sling, it's AWESOME!

Andrew T

Founder

Hi there, awesome Sling. simple, fast, does what I need!

Marc F

Managing director

Sling is a fantastic software, does its jobs well, & covers most of ELT use cases without needing additional tools.

Arie K

Head of Academic Information Systems

Using Sling Data is a pleasure, thanks. Congrats on getting it incorporated by the folks at Dagster. Big vote of confidence.

Brice V

Consultant

I can't say enough positive things about SlingDataIO for ETL. Decommissioning hand rolled scripts has never felt so good

Nico R

Director of Engineering

Thanks a ton for sling, it's been awesome (and fast), especially with Dagster's embedded ELT.

Daniel V

Developer

Sling is an incredible tool. It helps me remove my old bash scripts to a simple yaml file.

Eliel H

Founding Engineer

Sling is a really powerful ... It's been really great to be able to vastly simplify our company's data sync offering

James R

Chief Technology Officer

Just checking out Sling, it's AWESOME!

Andrew T

Founder

Hi there, awesome Sling. simple, fast, does what I need!

Marc F

Managing director

Sling is a fantastic software, does its jobs well, & covers most of ELT use cases without needing additional tools.

Arie K

Head of Academic Information Systems

Using Sling Data is a pleasure, thanks. Congrats on getting it incorporated by the folks at Dagster. Big vote of confidence.

Brice V

Consultant

I can't say enough positive things about SlingDataIO for ETL. Decommissioning hand rolled scripts has never felt so good

Nico R

Director of Engineering

Thanks a ton for sling, it's been awesome (and fast), especially with Dagster's embedded ELT.

Daniel V

Developer

Sling is an incredible tool. It helps me remove my old bash scripts to a simple yaml file.

Eliel H

Founding Engineer

Sling is a really powerful ... It's been really great to be able to vastly simplify our company's data sync offering

James R

Chief Technology Officer

Sling for Everyone

Install with Ease

It is trivial to install Sling CLI. We support all the major operating systems.

# Install sling with brew
brew install slingdata-io/sling/sling

# You're good to go!
sling -h

# Load a file into Postgres
export MY_PG='postgresql://user:password@localhost:5432/database'

sling run --src-stream file:///path/to/myfile.csv \
  --tgt-conn MY_PG --tgt-object public.my_new_data

# Add the sling bucket & install sling
scoop bucket add sling https://github.com/slingdata-io/scoop-sling.git
scoop install sling

# You're good to go!
sling -h

# Load a file into Postgres using PowerShell
$env:MY_PG = 'postgresql://user:password@localhost:5432/database'

sling run --src-stream file:///path/to/myfile.csv \
  --tgt-conn MY_PG --tgt-object public.my_new_data

# Download the latest version of sling
curl -LO 'https://github.com/slingdata-io/sling-cli/releases/latest/download/sling_linux_amd64.tar.gz' \
  && tar xf sling_linux_amd64.tar.gz \
  && rm -f sling_linux_amd64.tar.gz \
  && chmod +x sling

# You're good to go!
./sling -h

# Load a file into Postgres
export MY_PG='postgresql://user:password@localhost:5432/database'

./sling run --src-stream file:///path/to/myfile.csv \
  --tgt-conn MY_PG --tgt-object public.my_new_data

# Pull the latest version of sling
docker pull slingdata/sling

# You're good to go!
docker run --rm -i slingdata/sling --help

# Load a file into Postgres
export MY_PG='postgresql://user:password@localhost:5432/database'

docker run --rm -i -e MY_PG -v /path/to/myfile.csv \
  slingdata/sling run --src-stream file:///path/to/myfile.csv \
  --tgt-conn MY_PG --tgt-object public.my_new_data

# First install sling with `pip install sling`

import yaml
from sling import Replication

with open('path/to/replication.yaml') as file:
  config = yaml.load(file, Loader=yaml.FullLoader)

replication = Replication(**config)

replication.run()

FAQ

Simplify Your Data Journey

Streamline Your Data ETLQ

Swift performance

Replicate data quickly

Free Command Line Tool

Various Load Modes

Transformations

Quality Checks & Monitoring

Parallel Streams & Retries

Pipelines & Hooks

Stream Chunking

Built for Real-World Data Challenges

Database Replication

File-to-Database Loading

Cloud Storage Sync

API Data Extraction

Sling integrates with your favorite Databases, File Systems, and APIs

Run with CLI Flags

Use YAML Configs

List all Configured Connections

Test Connectivity

Discover Available Streams

Next Level:
Sling Data Platform

Hear from Sling Users

Install with Ease

Frequently Asked Questions

Platform

Links

Simplify Your Data Journey

Streamline Your Data ETLQ

Swift performance

Replicate data quickly

Free Command Line Tool

Various Load Modes

Transformations

Quality Checks & Monitoring

Parallel Streams & Retries

Pipelines & Hooks

Stream Chunking

Built for Real-World Data Challenges

Database Replication

File-to-Database Loading

Cloud Storage Sync

API Data Extraction

Sling integrates with your favorite Databases, File Systems, and APIs

Run with CLI Flags

Use YAML Configs

List all Configured Connections

Test Connectivity

Discover Available Streams

Next Level:Sling Data Platform

Hear from Sling Users

Install with Ease

Frequently Asked Questions

Next Level:
Sling Data Platform