Sync from Yandex Metrica to Databricks Lakehouse

with open data movement

Extract and load (ELT) your Yandex Metrica data into Databricks Lakehouse in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.

Try Airbyte Cloud

Coming soon in Cloud

Deploy Airbyte Open Source

300+ connectors

14-day free trial

20,000+

community members

6,000+

daily active companies

2PB+

synced/month

900+

contributors

Top companies trust Airbyte to centralize their Data

Start syncing data from Yandex Metrica to Databricks Lakehouse in three easy steps

Setup a Yandex Metrica connector in Airbyte

Connect to Yandex Metrica or one of 400 Airbyte data sources through simple account authentication

Set up Databricks Lakehouse as the destination connector

Connect to Databricks Lakehouse or one of 50+ Airbyte data destinations through simple account authentication

Sync your Data

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

Get started for free

LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.

Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI, API and CLI (coming soon).

Automated schema change handling, data normalization and more
Automated data transformation orchestration with our dbt integration
Automated workflow with our Airflow, Dagster and Prefect integration

Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.

Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

It’s never been easier to integrate your Yandex Metrica data into Databricks Lakehouse

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.

Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.

Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.

Learn more

Talk to our team

TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.

Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Check how much Airbyte reduces your costs

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:

Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).

Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

Talk to our team to learn more

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.

Talk to our team

Case study

Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

Ready to get started?

Try Airbyte Cloud free Talk to our team

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 Yandex Metrica?

Yandex Metrica assists you to get narrative reports and record the actions of personal users, to detect what people are seeking for on your site. It is a web analytics tool that you can easily use to collect data about visitors to your website and their sessions. One can easily use Yandex Metrica web analytics tool to get visual reports and video recordings of user actions and track traffic sources. Yandex Metrica is the best plugin for WordPress.

What is Databricks Lakehouse?

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

What data can you extract from Yandex Metrica?

Yandex Metrica's API provides access to a wide range of data related to website and mobile app performance. The types of data that can be accessed through the API can be categorized as follows:

1. User behavior data:
- Pageviews
- Sessions
- Bounce rate
- Time on site
- Clicks
- Goals and conversions

2. Traffic sources data:
- Referral sources
- Search engine traffic
- Direct traffic
- Social media traffic
- Paid traffic

3. Audience data:
- Demographics
- Geolocation
- Device type
- Browser type
- Language

4. Technical data:
- Page load time
- Error messages
- Server response time
- Browser and device compatibility

5. Custom data:
- Custom events
- Custom dimensions
- Custom metrics

Overall, Yandex Metrica's API provides a comprehensive set of data that can be used to analyze and optimize website and mobile app performance.

How do I transfer data from Yandex Metrica to Databricks Lakehouse?

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 Yandex Metrica as a source connector (using Auth, or usually an API key)
2. Set up Databricks Lakehouse as a destination connector
3. Define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

What are top ETL tools to extract data from

The most prominent ETL tools to transfer data from Yandex Metrica to Databricks Lakehouse include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Yandex Metrica and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Databricks Lakehouse 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.

Yandex Metrica to Databricks Lakehouse in minutes.

ETL your Yandex Metrica data into Databricks Lakehouse, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

Get started for free

We don't support the

Databricks Lakehouse

connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.

We don't support the

Yandex Metrica

connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.

We don't support the

Yandex Metrica

and

Databricks Lakehouse

connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Marketing Analytics

Select the Yandex Metrica data that you want to replicate.

The Yandex Metrica source connector can be used to sync the following tables:

Traffic

Includes Traffic data for desktop and mobile updated in real time.

Audience

Includes their location, device, browser, and even ad blocker usage.

Performance

Behavioral analytics

Includes pageviews and sessions.

Ad hoc reporting and powerful segmentation

Includes Any data you need, in any dimension-metric combination.

Check the docs

View this Yandex Metrica connector to upvote it

About Yandex Metrica

Start analyzing your Yandex Metrica data in minutes with the right data transformation

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Yandex Metrica

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Databricks Lakehouse needs

Scheduled updates

Automate replications with recurring incremental updates to

Databricks Lakehouse

Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Databricks Lakehouse

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

Check how log replication works for PostgreSQL

Check the docs

View this Databricks Lakehouse connector to upvote it

About Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Why Choose Airbyte for your Yandex Metrica and Databricks Lakehouse data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Yandex Metrica

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Yandex Metrica account and destination, and your new Yandex Metrica data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Yandex Metrica ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Check out our features

Yandex Metrica to Databricks Lakehouse in minutes

ETL your Yandex Metrica data into Databricks Lakehouse, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

Get started for free

We don't support the

Yandex Metrica

connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.

We don't support the

Databricks Lakehouse

connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.

We don't support the

Yandex Metrica

and

Databricks Lakehouse

connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Yandex Metrica database needs.

Full control over the data

The

Yandex Metrica

source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

Scheduled updates

Automate replications with recurring incremental updates.