Open-source data movement to

Open-source data movement from

Open-source ELT from cimis to any destination

Open-source database replication from cimis

cimis

CIMIS stands for California Irrigation Management Information System, providing weather data to help farmers optimize irrigation scheduling and water usage. Airbyte enables you to sync from any data source to cimis, in minutes.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

Start syncing data from any source to cimis in three easy steps

Start leveraging your cimis data in three easy steps

The only open solution empowering data teams  to meet growing business demands in the new AI era.

Set up a source connector to extract data from Airbyte

Setup a cimis connector in Airbyte

This can be any API tool, cloud data warehouse, database, data lake, file, or many other source types.

Connect to cimis or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up cimis as the destination connector

Set up a destination for your extracted cimis data

Connect to cimis or one of 50+ Airbyte data destinations through simple account authentication.

Configure the connection in Airbyte

Configure the cimis connection in Airbyte

Select the data you want to extract, the sync frequency, and where in cimis you want that data to be loaded.

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

The Airbyte Open Data Movement Platform

Modernize your data infrastructure with Airbyte's high speed data replication. Move large volumes of data with best-in-class CDC methods and replicate large databases within minutes.

Before
After

Why Airbyte?

Airbyte is the only unified data movement platform built on the open standard. It is uniquely positioned in terms of data sovereignty, connector extensibility, and support for AI workflows.

Syncing data from cimis is only one of your 1,000 future data pipeline needs. Leverage the largest Marketplace of 400+ pre-built and 10,000+ custom  structured and unstructured connectors. Join 2,000 + data engineers who built 7,000+ custom connectors in minutes with low-code/no-code Connector Builder or AI Assistant.

Create context for AI agents by leveraging Airbyte's 600+ connectors. Airbyte's pipelines transfer structured and unstructured data together for metadata preservation. With support for flexible destinations such as Iceberg, Airbyte is the ideal data movement solution for agentic application.

Any specific way you would like to sync data from cimis? Airbyte has you covered.
UI: Create connections and custom connectors in minutes.

API: Programmatic interactions, data syncing, and embedded connectors.

Terraform: Integration with CI/CD tools and rapid deployment with Infrastructure as Code.

PyAirbyte: Build LLM applications with Python libraries, SQL tools, and AI frameworks.

Flexible deployment options: self-hosted, cloud, and hybrid. Secure and compliant: ISO 27001, SOC 2, GDPR, HIPAA, data encryption, audit/monitoring, SSO, RBAC, and more. Centralized multi-tenant management with self-serve capabilities.

Trusted by the world's leading companies

Immediate ROI and productivity gains for your data teams.

"With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance."

Raman Singh, Tech Lead at Symend

75%
reduction in sync times
$ 900K
in annual savings

"The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.”

Sean Carver, Director of Data at Petvisor

20+
data sources integrated and growing
+1
FTE engineer in productivity efficiency
85%+
reduction in  data source integration time

"For TUI Musement, Airbyte cut development time in half and enabled dynamic customer experiences."

Andre Exner, Director of Customer Hub and Common Analytics

50%
faster development time

"What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github."

Amy Zhao, Senior Manager of Data Engineering at Peloton

3 to 1
reduction in data integrations solutions for reduced TCO
1
week Shopify and Stripe integration with Airbyte

"Airbyte allows us to stay flexible while scaling from hundred-million to billion-dollar enterprise clients."

Franziska Ibscher, Product Manager at Drivepoint

75%
of customers increased profitability
6.7%
EBITDA increase for customers

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is cimis?

How do I transfer data from cimis?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

1

Set up cimis as a source connector (using Auth, or usually an API key)

2

Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector

3

Define which data you want to transfer from cimis and how frequently

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

What are top ETL tools to transfer data from cimis?

The most prominent ETL tools to transfer data to cimis include:

Airbyte

Fivetran

StitchData

Matillion

Talend Data Integration

These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into cimis and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

cimis Integration Guides

Connect your favorite tools and services to cimis

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Sync your data from any source to cimis

Sync your data from any source from cimis

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Github

Unstructured

Gitlab

Unstructured

Google Drive

Unstructured

Microsoft OneDrive

Unstructured

Microsoft Sharepoint

Unstructured

Notion

Unstructured

S3

Unstructured

Slack

Unstructured

Apify Dataset

Unstructured

Azure Blog Storage

Unstructured