How to load data from Azure Table Storage to ElasticSearch

Learn how to use Airbyte to synchronize your Azure Table Storage data into ElasticSearch within minutes.

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start snycing with Airbyte in 3 easy steps within 10 minutes

Set up a Azure Table Storage connector in Airbyte

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

Set up ElasticSearch for your extracted Azure Table Storage data

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

Configure the Azure Table Storage to ElasticSearch in Airbyte

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.

Try Airbyte Cloud

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Old Automated Content

TL;DR

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:

set up Azure Table Storage as a source connector (using Auth, or usually an API key)
set up ElasticSearch as a destination connector
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.

This tutorial’s purpose is to show you how.

What is Azure Table Storage

Azure Table storage, which is a service that stores non-relational structured data in the cloud and it is well known as structured NoSQL data. Azure Table storage is a service that stores structured NoSQL data in the cloud, providing a key/attribute store with a schema less design. Azure Table storage is a very popular service used to store structured NoSQL data in the cloud, providing a Key/attribute store. One can use it to store large amounts of structured, non-relational data.

What is ElasticSearch

Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.

Integrate Azure Table Storage with ElasticSearch in minutes

Try for free now

Prerequisites

A Azure Table Storage account to transfer your customer data automatically from.
A ElasticSearch account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Azure Table Storage and ElasticSearch, for seamless data migration.

When using Airbyte to move data from Azure Table Storage to ElasticSearch, it extracts data from Azure Table Storage using the source connector, converts it into a format ElasticSearch can ingest using the provided schema, and then loads it into ElasticSearch via the destination connector. This allows businesses to leverage their Azure Table Storage data for advanced analytics and insights within ElasticSearch, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Azure Table Storage as a source connector

1. First, you need to create an Azure Table Storage account and obtain the account name and account key. You can find these details in the Azure portal under the "Access keys" section of your storage account.
2. In Airbyte, navigate to the "Sources" tab and click on "Add Source". Select "Azure Table Storage" from the list of available sources.
3. In the "Configure Azure Table Storage" page, enter the account name and account key that you obtained in step 1.
4. Next, enter the name of the table that you want to connect to. You can find the name of the table in the Azure portal under the "Tables" section of your storage account.
5. If you want to filter the data that you retrieve from the table, you can enter a filter expression in the "Filter" field. This expression should be in the OData syntax.
6. Finally, click on "Test Connection" to ensure that Airbyte can connect to your Azure Table Storage account. If the connection is successful, click on "Create Source" to save your configuration.
7. You can now use this source to create a new Airbyte pipeline and start replicating data from your Azure Table Storage account.

Step 2: Set up ElasticSearch as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the Elasticsearch destination connector and click on it.
4. You will be prompted to enter your Elasticsearch connection details, including the host URL, port number, and any authentication credentials.
5. Once you have entered your connection details, click on the "Test" button to ensure that your connection is working properly.
6. If the test is successful, click on the "Save" button to save your Elasticsearch destination connector settings.
7. You can now use this connector to send data from your Airbyte sources to your Elasticsearch database.
8. To set up a pipeline, navigate to the "Sources" tab and select the source you want to use.
9. Click on the "Create New Connection" button and select your Elasticsearch destination connector from the list.
10. Follow the prompts to map your source data to your Elasticsearch database fields and save your pipeline.

Step 3: Set up a connection to sync your Azure Table Storage data to ElasticSearch

Once you've successfully connected Azure Table Storage as a data source and ElasticSearch as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Azure Table Storage from the dropdown list of your configured sources.
Select your destination: Choose ElasticSearch from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Azure Table Storage objects you want to import data from towards ElasticSearch. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Azure Table Storage to ElasticSearch according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your ElasticSearch data warehouse is always up-to-date with your Azure Table Storage data.

Use Cases to transfer your Azure Table Storage data to ElasticSearch

Integrating data from Azure Table Storage to ElasticSearch provides several benefits. Here are a few use cases:

Advanced Analytics: ElasticSearch’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Azure Table Storage data, extracting insights that wouldn't be possible within Azure Table Storage alone.
Data Consolidation: If you're using multiple other sources along with Azure Table Storage, syncing to ElasticSearch allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Azure Table Storage has limits on historical data. Syncing data to ElasticSearch allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: ElasticSearch provides robust data security features. Syncing Azure Table Storage data to ElasticSearch ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: ElasticSearch can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Azure Table Storage data.
Data Science and Machine Learning: By having Azure Table Storage data in ElasticSearch, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Azure Table Storage provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to ElasticSearch, providing more advanced business intelligence options. If you have a Azure Table Storage table that needs to be converted to a ElasticSearch table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Azure Table Storage account as an Airbyte data source connector.
Configure ElasticSearch as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Azure Table Storage to ElasticSearch after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Azure Table Storage to ElasticSearch Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

Back to all tutorials

Databases

Warehouses and Lakes

How to load data from Azure Table Storage to ElasticSearch

Learn how to use Airbyte to synchronize your Azure Table Storage data into ElasticSearch within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Azure Table Storage

What is ElasticSearch

Prerequisites

Step 1: Setup Azure Table Storage

Step 2: Setup ElasticSearch

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Azure Table Storage and ElasticSearch

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Azure Table Storage as a source connector (using Auth, or usually an API key)
set up ElasticSearch as a destination connector
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.

This tutorial’s purpose is to show you how.

What is Azure Table Storage

What is ElasticSearch

Integrate Azure Table Storage with ElasticSearch in minutes

Try for free now

Prerequisites

A Azure Table Storage account to transfer your customer data automatically from.
A ElasticSearch account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Azure Table Storage as a source connector

Step 2: Set up ElasticSearch as a destination connector

Step 3: Set up a connection to sync your Azure Table Storage data to ElasticSearch

Once you've successfully connected Azure Table Storage as a data source and ElasticSearch as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Azure Table Storage from the dropdown list of your configured sources.
Select your destination: Choose ElasticSearch from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Azure Table Storage objects you want to import data from towards ElasticSearch. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Azure Table Storage to ElasticSearch according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your ElasticSearch data warehouse is always up-to-date with your Azure Table Storage data.

Use Cases to transfer your Azure Table Storage data to ElasticSearch

Integrating data from Azure Table Storage to ElasticSearch provides several benefits. Here are a few use cases:

Advanced Analytics: ElasticSearch’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Azure Table Storage data, extracting insights that wouldn't be possible within Azure Table Storage alone.
Data Consolidation: If you're using multiple other sources along with Azure Table Storage, syncing to ElasticSearch allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Azure Table Storage has limits on historical data. Syncing data to ElasticSearch allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: ElasticSearch provides robust data security features. Syncing Azure Table Storage data to ElasticSearch ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: ElasticSearch can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Azure Table Storage data.
Data Science and Machine Learning: By having Azure Table Storage data in ElasticSearch, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Azure Table Storage provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to ElasticSearch, providing more advanced business intelligence options. If you have a Azure Table Storage table that needs to be converted to a ElasticSearch table, Airbyte can do that automatically.