Integrating BigCommerce with your data sources is an important step in the process of growing your business. It can help you make more informed decisions that will result in higher sales volumes and stronger customer loyalty. Use the BigCommerce connector from Integrate.io to sync your inventory with BigCommerce as often as you need from Integrate.io's very fast CDC platform.
About IBM DB2
As a hybrid data approach, the IBM Db2 suite of products integrates all aspects of data management and analytics – for both relational and object-oriented data models – within a single, highly-compatible family of tools and technologies. IBM Db2 offers RDBMS, data warehousing, and data engine tools for cloud-based systems and on-premises systems. Plus, with Integrate.io’s native Db2 connector, you can instantly connect to any piece of the IBM Db2 toolkit to leverage Db2's capacity to share, access, and analyze both structured and unstructured data – no matter where it is located.
Popular Use Cases
Bring all your BigCommerce data to Amazon Redshift
Load your BigCommerce data to Google BigQuery
ETL all your BigCommerce data to Snowflake
Move your BigCommerce data to MySQL
BigCommerce's End Points
Table of Contents
- Connect your BigCommerce data to a streamlined data dashboard
- ELT your BigCommerce data anywhere, within minutes
- Integrate.io has the BigCommerce data integrations that you need
- How Integrate.io customers power growth with our BigCommerce data connectors
- Why choose Integrate.io for your BigCommerce data integration
- Explore our BigCommerce ELT resources
Connect your BigCommerce data to a streamlined data dashboard
Gain instant access to all of the data you need to make critical marketing decisions.
- Access to real-time marketing and customer data
- Instantly see overstock inventory and product sales trends
- Empower your sales team to sell the right products at the right time
Implement the BigCommerce connector from Integrate.io to streamline your view of your company's data.
ELT your BigCommerce data anywhere, within minutes
Our ELT platform
provides deep Ecommerce capability for data teams. Through our reverse ELT capability, your team has access to the right data.
- Updates data fields within minutes
- Remote access for every member of your team that needs it
- Streamlined access to the most recent and relevant data
To learn more and see how our capabilities can help your data team, schedule a demo
Integrate.io has the BigCommerce data integrations that you need
Integrate.io has created a variety of BigCommerce data integrations to help merchants connect their BigCommerce stores to various third-party apps and services in order to increase the sales of their products and services.
With these integrations, merchants can maintain relationships with customers who have previously purchased items from their store, which can help them improve their sales and increase the overall customer satisfaction of their website. Using Integrate.io's data integrations, merchants can connect their BigCommerce store to third-party apps like Google Analytics
, Facebook Ads
, and Shopify
, which allows them to see the most important metrics about the performance of their store.
Integrate.io's data integrations empower merchants to integrate multiple third-party apps and services at once, which allows them to see all of their sales data in one place and can then use this information in order to make informed decisions about how they should optimize their site in order to increase sales.
Integrating with multiple third-party apps and services at once lets merchants reduce the amount of time it takes them to create new content for their site in order to attract more customers and increase sales, as well as reduce the amount of time they spend trying to figure out which CMS or app is best suited for them.
Transform the way your team sees and interprets BigCommerce data with Integrate.io's Big Commerce data. We'll show you how.
How Integrate.io customers power growth with our BigCommerce data connectors
Integrate.io customers are powering growth with BigCommerce data connectors. Integrate.io customers save time by automating data sync processes and increasing efficiency. They're also improving data quality by reducing the chances of human error, increasing the chance of accurate reporting, and generating actionable insights.
Businesses that use Integrate.io to connect their BigCommerce store with a CRM system or other data source are able to increase sales and decrease costs. These benefits can be realized in just a few weeks, so there's no need to wait for a large-scale project to take off before making an impact.
There are many ways that you can integrate BigCommerce data into your apps and websites, but when you have Integrate.io on your side, you can connect to BigCommerce from anywhere. Our connectors allow you to pull all the relevant data from BigCommerce and use it in your apps with just a few clicks of a button.
Integrating with BigCommerce can improve your app's customer experience by providing more accurate product information, improving order status tracking, and offering more detailed analytics. With Integrate.io's connectors, you can also create custom reports to visualize the data in multiple formats.
Get started analyzing your BigCommerce data in minutes
Integrate.io's BigCommerce integration connector will let you analyze your product data and get a comprehensive view of your store performance in one easy-to-use dashboard. Once you've set up your Integrate.io account and any API connectors, you can begin to connect your BigCommerce store with your Integrate.io account. You will need your BigCommerce account information to get started.
With the BigCommerce connector, you can see which products are selling well and which customers are buying what. Plus, you can create custom dashboards that highlight specific areas of interest, such as new customer signups or the sales per month per category.
With backend integrations to more than 40 different tools like Google Analytics and Google AdWords, your data is easier to analyze and more accessible to make decisions and encourage more customers to checkout with their purchases from your storefront or online store at BigCommerce.com.
Why choose Integrate.io for your BigCommerce data integration
Integrate.io is the software solution for data integration and synchronization between multiple platforms, including BigCommerce. It allows you to:
- Combine all your data sources into a single database
- Identify high-traffic and high-conversion pages
- Optimize store merchandising and functionality
- Track SKU performance and forecast accurately
Integrating your data saves time, money, and effort. Data integrity is maintained as every transaction is recorded in one place, simplifying data management and reducing errors. Integration also reduces the risk of data loss by creating a backup system that can be used to restore data in case of a disaster.
Integrate.io is also an ideal solution for companies that have a large number of customers and suppliers. Combine your customers' orders with your suppliers' invoices, provide a complete view of all your transactions, and save time and money by eliminating manual processing errors.
It's time to benefit from a BigCommerce data integration from Integrate.io. You'll save time and get a better view of the data your organization collects. Schedule a demo
Explore our BigCommerce ELT resources
BigCommerce can be an effective tool if you can feed it the information that it needs. Our BigCommerce ELT resources help it integrate with other systems and ensure that it is getting all of the required data. You'll be surprised how easy it is to get BigCommerce working with other platforms using Integrate.io.
Check out our latest BigCommerce-related articles:
- 5 BigCommerce Tech Stack Tools You Need to Know About - Read More
- Choosing ELT for BigCommerce: What to Consider - Read More
- 8 Tips to Build a Strong BigCommerce Tech Stack - Read More
See similar data sources:
- Shopify: Shopify is a popular e-commerce platform that allows companies to manage an online store.
- Amazon Redshift: Amazon Redshift is a fully-managed data warehouse that is cloud-based.
- Heroku Postgress: Heroku Postgres is a managed SQL database service with many features.
IBM DB2's End Points
IBM Db2 Database
Db2 Database is a relational database management system (RDBMS) optimized for high-performance transactional workloads. As an operational database management system, Db2 Database is not only highly performant and reliable, but it also allows you to derive actionable insights from your operational data. Db2 Database delivers advanced features like in-memory technology, storage optimization, continuous data availability, workload management, and cutting-edge management and development tools. Db2 Database is compatible with Windows, Linux, and Unix.
IBM Db2 on Cloud (IBM Db2 Hosted)
Db2 on Cloud is a fully-managed, SQL-based transactional database that runs on the cloud. One of the defining characteristics of Db2 on Cloud is its high-availability option, which delivers 99.99% uptime (according to IBM). This cloud-based database offers automatic security updates and independently scalable storage and processing, which automatically scales resources up and down based on usage requirements. Available on AWS and IBM Cloud, Db2 on Cloud delivers advanced features for backup and recovery, encryption, and data federation. Through its private networking features, you can also deploy Db2 on Cloud on a private network accessible over a secure VPN. Db2 Hosted is the hosted, unmanaged version of the Db2 on Cloud SQL-based cloud database.
IBM Db2 Warehouse
As a data management system optimized for high-speed read operations, data aggregation, and analysis, IBM Db2 Warehouse has evolved over time to offer a range of advanced analytics and data management features. Db2 Warehouse allows you to combine data from various transactional and operational database systems, and analyze it to find deep insights, patterns, and hidden relationships. Db2 Warehouse supports a range of data types, machine learning algorithms, analytical models. For example, Db2 Warehouse supports relational data, non-relational data, geospatial data, multi-parallel processing, predictive modeling algorithms, in-memory analytical processing, Apache Spark, RStudio, XML data, embedded Spark Analytics engine, and more. Db2 Warehouse runs on-premises, on the private cloud, and on various public clouds as a managed or unmanaged solution.
IBM Db2 Warehouse on Cloud (dashbDB for Analytics)
Db2 Warehouse on Cloud (formerly known as “dashDB for Analytics”) is a fully-managed, highly-scalable, cloud-based data warehouse management system. IBM optimized Db2 Warehouse on Cloud to perform compute-heavy data analytics and machine learning processes at scale. The product offers autonomous cloud services with Db2's autonomous self-tuning processing engine, in addition to its fully-automated database monitoring, uptime monitoring, and operations monitoring. Db2 Warehouse on Cloud also includes capabilities for column-based storage, querying compressed datasets, data skipping, and in-memory processing. Finally, Db2 Warehouse on Cloud delivers in-database geospatial data and machine learning features – including algorithms for ANOVA, Association Rule, k-means, Naïve Bayes, Regression analysis, in-database spatial analytics, support for Esri data types, and it natively includes Python drivers and a Db2 Python integration for Jupyter Notebooks. To access these and other features, you can deploy Db2 Warehouse on Cloud via AWS or IBM Cloud.
IBM Db2 BigSQL (IBM SQL)
Db2 BigSQL (formerly known as “IBM SQL”) is a high-performance SQL data engine on Hadoop featuring a Massively Parallel Processing (MPP) architecture. Also known as “Big SQL,” this highly-scalable data engine offers ease and security while querying data from multiple sources across your enterprise. Big SQL can rapidly query data from the widest variety of sources such as RDBMS, HDFS, WebHDFS, object stores, and NoSQL databases. As a hybrid ANSI-compliant SQL engine, Big SQL is highly performant when running queries on unstructured streaming data. Finally, Big SQL is compatible with the entire suite of Db2 products, in addition to the IBM Integrated Analytics System.
Db2 Event Store
Db2 Event Store is a data management system optimized for storing and analyzing high-speed, high-volume, streaming data. Use-cases for Db2 Event Store include Internet of Things (IoT) networks, financial services systems, telecommunications networks, industrial systems, and online retail business systems. The solution offers high-speed analytics and data capture features that allow you to save and analyze up to 250 billion event records daily using only three server nodes. Db2 Event Store integrates IBM Watson Studio technology to support artificial intelligence and machine learning analyses. The solution was also built on Spark, so it works with Spark SQL, Spark Machine Learning, and other compatible tools. Finally, Db2 Event Store supports Go, ODBC, JDBC, Python, and other languages.