Data ingestion pipelines

Delivering efficient AWS Redshift ETL and ELT data pipelines

Code-free, fully-automated data pipelines to a fully-managed Amazon Redshift data warehouse

Amazon Redshift is part of the AWS cloud data warehousing suite of products. The Redshift software is a fast, fully-managed data warehouse that makes an ETL process simple and cost-effective to analyze all your data using standard SQL. You can focus on analyzing data to find meaningful insights, using your favorite data tools with Amazon Redshift.

Amazon Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from its time as a startup to a multi-billion dollar enterprise. Our data lake ETL services also support extending AWS Redshift by pairing AWS Redshift Spectrum to optimize storage capacity, cost, and performance.

With our automated data pipeline service solves the complexity for how to load data into Amazon Redshift. You don’t need to worry about ETL jobs, create table, copy command, configuration, failures, or scaling your data pipeline infrastructure as your datasets and number of users grow. Simplified, automated processing will handle extracting data as well as transform the data needed to modernize operations.

"Very early into our journey, we knew how essential data was in driving innovation and growth. Thanks to Openbridge’s data lake solutions and technologies, our marketing, operations, and sales data is ready-to-go for insights and analysis efforts.

A. Stepper, Director of Marketing, Evenflo

Remove barriers to Amazon Redshift data

Focus on insights, not infrastructure with a Amazon Redshift cloud data warehouse

Amazon Redshift supports a broad range of options for business intelligence and data visualization tools . As a result of our "analytics ready" approach, our Amazon Redshift service ensures you are up and running faster with your favorite business intelligence, data visualization, SQL, or data science tools.

The Openbridge analytics-ready model maximizes investments in your preferred tools and the people that use them. We accomplish this by consistently embracing current and emerging standards-based for data access within your Amazon Redshift cluster .

Applying industry best practice for our data engineering and architecture ensures you have consistent and easy access to your data with leading tools like Grow, Tableau, Microsoft Power BI, or Looker.

data analytics
Ready-to-go Amazon Redshift data pipelines

Do you want to use Amazon Redshift data to drive business performance?

Kickstart your projects with ready-to-go data pipelines to a data lake or data warehouse. We break down data silos with an automated, zero administration service that delivers data to a highly available, cost-effective architecture on Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

Looking to process and load CSV files? Event data from webhooks? Extend your data lake or warehouse AWS SFTP S3 Batch and our Amazon Kinesis Webhook API.

Delivering "analytics-ready" Amazon Redshift data

Code-free, Amazon Redshift data ingestion pipelines for insights, analytics, and exploration

Use an incredibly diverse array of tools to explore, analyze, and visualize Amazon Redshift data to understand business performance. Connect your favorite business intelligence, data visualization, SQL, or data science tools.

Need a customized plan tailored to your Amazon Redshift needs?

We tailor plans designed for teams using Amazon Redshift that generate large amounts of data, require custom data integrations, invoiced billing, or a professional-services agreement.

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Accelerate your aha moments

Data wrangling can be intimidating, leaving the complex data engineering work to us.


Free your team from painful data wrangling and silos. Automation unlocks the hidden potential for machine learning, business intelligence, and data modeling.

Unlock data silos


Use an incredibly diverse array of tools like Looker, Tableau, Power BI, and many others to explore, analyze, and visualize data to understand business performance.

Flexible data analytics tools


Realize incredible operational savings by leveraging fully automated, zero administration serverless data lakes and cloud data warehouses.

ELT & ETL automation

Amazon Redshift Frequently Asked Questions

To maximize productivity, your data needs to be organized, processed and loaded into a data lake or warehouse. This data warehouse will act as a central repository of data aggregated from disparate sources. The data warehouse becomes the hub that allows you to plug in your favorite tools so you can query, discover, visualize or model that data.
You have a lot of powerful and affordable choices these days! Tools like Tableau Software, Looker, Mode Analytics, Chartio and Microsoft Power BI are just a few options to consider. Take a look at the full list of tools or read our DZone article about creating an objective 10-point business intelligence tool checklist to help narrow the field. If you have questions, feel free to reach out to us
No, there will not be any charges from Openbridge for your warehouse. Any charges are directly billed by the cloud provider (i.e. Amazon or Google) to you.
What is current AWS Redshift pricing?
Every data lake or cloud warehouse has its own pricing model. Often pricing will vary by usage, which is defined by the compute and storage consumed or provisioned. Depending on your situation and requirements, different price-performance considerations may come into play. For example, if you need to start with a no or low-cost solution, Amazon Redshift only charges according to usage. This may provide you with the essentials to kickstart your efforts. If you have questions, feel free to reach out to us. We can offer some tips and best practices on how best to set up a warehouse based on your needs.
How does Amazon Redshift back up my data? ?
It backs up your data to S3. Amazon Redshift maintains three copies of your data. Redshift can also asynchronously replicate snapshots to S3 for disaster recovery.
How to query Amazon Redshift? CAN I USE STANDARD SQL?
Yes, using standard SQL is supported. Amazon Redshift supports familiar SQL constructs. There may be some limitations or best practices, but the rule of thumb is that SQL is available.
How Is Redshift data encrypted?
Amazon encrypts data in transit and at rest. In transit, data supports SSL-enabled connections between your client application and your Redshift data warehouse. At rest, Amazon Redshift encrypts data using hardware-accelerated AES-256.
Where can I find AWS Redshift documentation?
The first place to start is at AWS for Redshift documentation. Second, if you are setting up Redshift in your Openbridge account, we provide documentation as well.
WHY use Amazon Redshift?
Redshift makes it simple and cost-effective to run high performance queries to build visualizations, models, and dashboards. Given the broad, standards-based approach used by AWS Redshift you gain flexibility as you puruse data integration into your applications and systems. Another benefit is being able to extend AWS Redshift by pairing AWS Redshift Spectrum data lake to optimize cost and performance.
Which data lake or cloud warehouse should I be using?
When it comes to building your data strategy and architecture, it’s important to understand which data lake or warehouses should be candidates for consideration. Typically, teams will be asking themselves answers like "How do I install and configure a data warehouse?" or "Which data warehouse solution will help me to get the fastest query times?" or "Which of my analytics tools are supported?"

This article covers key features and benefits of five widely used data lake and warehouse solutions supported by Openbridge to help you choose the right one: How to Choose a Data Warehouse Solution that Fits Your Needs. If you have answers, feel free to reach out to us.
Do I need an expert services engagement for Amazon Redshift?
Typically, you will not need services for Amazon Redshift. Most customers are up and running using their Amazon Redshift data quickly. However, if you need support, we do offer expert services. There may be situations where you have specific needs relating to Amazon Redshift data. These situations can require expert services to tailor Amazon Redshift data to fit your requirements. Ultimately, our mission is helping you get value from data, and this can often happen more quickly with the assistance of our passionate expert services team.
Do I need to authorize Openbridge or its Partners my access to Redshift system?
Yes, typically, Amazon Redshift requires authorization to access your data. You would provide us with the Amazon Redshift authorizations, so we can properly connect to their system. The process takes a few minutes to setup in your Openbridge account. You can read about how to sertup Redshift in the Amazon Cloud console
How to access Amazon Redshift?
There are a few options, some of which we already referenced relating to BI and data analytic tools. Another options is to use SQL tools like SQLWorkbench or PSQL. Check our the "Connecting to Clusters from Client Tools and Code" docs for more detils on the latest options.
When should I use Amazon Athena vs. Amazon Redshift?
Amazon Athena is a serverless query service, so there is no infrastructure to set up or manage. This means that you can get up and running at low or no cost. Redshift is tailored for frequently accessed data that needs to be stored in a consistent, highly structured format. Another benefit is that Redshift Spectrum enables access to data residing on an Amazon S3 data lake. We know it can get complicated, so if you have questions, feel free to reach out to us.
Does Redshift support querying a data lake?
Yes, Redshift supports querying data in a lake via Redshift Spectrum. Data lakes are the future and Amazon Redshift Spectrum allows you to query data in your data lake with out fully automated, data catalog, conversion and partioning service.
How do I load data into my Amazon Redshift data warehouse?
You can load data into Amazon Redshift from a range of data sources like Amazon Seller Central, Google Ads, Facebook, YouTube or from on-premises systems via batch import. Openbridge automates these data pipelines so you can ingest data into your data warehouse cluster code-free.

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