How to load your data from LDAP to Snowflake

Pipes allows you to automatically replicate your LDAP data into Snowflake on your defined schedule.

Load all your data from LDAP to Snowflake to instantly get access to your LDAP data. This data will always be updated on your defined schedule.

Pipes allows you to automatically load your LDAP data into Snowflake. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding.

Connect to Snowflake

This will be the destination of all data pipelines you build. Besides Snowflake, Pipes supports the most used relational databases in the cloud and on-premises.

Connect to LDAP

Just enter your credentials to allow Pipes access to the LDAP API. Then Pipes is able to retrieve your data from LDAP.

Create a data pipeline from LDAP to Snowflake

Pipes lets you select the data from LDAP you want to have in Snowflake. This pipeline will run automatically on your defined schedule!

See Pipes Product Tour

About LDAP

The LDAP (Lightweight Directory Access Protocol) is a vendor-neutral, open, industry standard application protocol for maintaining and accessing distributed directory information services over an IP (Internet Protocol) network. LDAP enables access to locate organizations, individuals, and resources such as files and devices in a network, both on public Internet and on corporate intranet.

About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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