I imported the two Olist Kaggle datasets into an SQLite database. I modified the original table names to make them shorter and easier to understand. Here's the Entity-Relationship Diagram of the resulting SQLite database:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2473556%2F23a7d4d8cd99e36e32e57303eb804fff%2Fdb-schema.png?generation=1714391550829633&alt=media" alt="Database Schema">

Data sources:

https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce

https://www.kaggle.com/datasets/olistbr/marketing-funnel-olist

I used this database as a data source for my notebook:

SQL Challenge: E-commerce data analysis

Success.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.

Key Features of Success.ai's Global E-commerce Professional Contact Data

1. Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.

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3. Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.

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• Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.

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E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.

• Technology-Enhanced Solutions Our data delivery is optimized for seamless integration into your systems, including:

Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.

• Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles

• Use Cases

1. Enhanced Marketing: Empower your e-commerce marketing strategies with precise email and phone contact details.
2. Sales Growth: Equip your sales team to connect with top-level executives and decision-makers.
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Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:

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E-Commerce Transactions: AOV: Business & Consumer Services data was reported at 577.635 USD in 03 May 2025. This records an increase from the previous number of 553.767 USD for 02 May 2025. E-Commerce Transactions: AOV: Business & Consumer Services data is updated daily, averaging 214.625 USD from Jan 2019 (Median) to 03 May 2025, with 1693 observations. The data reached an all-time high of 3,425.756 USD in 23 Jun 2021 and a record low of 0.224 USD in 02 Jul 2023. E-Commerce Transactions: AOV: Business & Consumer Services data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Singapore – Table SG.GI.EC: E-Commerce Transactions: by Category.

Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.

With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.

Why Choose Success.ai’s Ecommerce Store Data?

1. Verified Profiles for Precision Engagement

   • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
   • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.

2. Comprehensive Coverage of the APAC E-commerce Sector

   • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
   • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.

3. Continuously Updated Datasets

   • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
   • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
• Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
• Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
• Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

Key Features of the Dataset:

1. Comprehensive E-commerce Business Profiles

   • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
   • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.

2. Advanced Filters for Precision Campaigns

   • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
   • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.

3. Regional and Sector-specific Insights

   • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
   • Refine your marketing strategies and outreach efforts to align with market priorities.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
   • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.

2. Partnership Development and Vendor Collaboration

   • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
   • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.

3. Market Research and Competitive Analysis

   • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
   • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.

2. Seamless Integration

   • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...

E-Commerce Data Integration Software Market Outlook

The global e-commerce data integration software market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 6.8 billion by 2032, expanding at a compound annual growth rate (CAGR) of 8.7% during the forecast period from 2024 to 2032. This robust growth is driven by the increasing need for businesses to streamline data across multiple platforms and improve operational efficiency. As e-commerce platforms evolve, the integration of data from various sources has become crucial, propelling demand for advanced data integration solutions. The growth of online retail and the adoption of digital technologies across sectors further contribute to the burgeoning market.

The e-commerce data integration software market is significantly influenced by the rapid digital transformation across industries. Companies are increasingly leaning towards digital platforms to expand their market presence, reach a broader audience, and enhance customer experience. This shift necessitates seamless integration of data from various sources such as customer data, supplier information, and transactional records. The ability to efficiently integrate and analyze this data provides valuable insights, enabling businesses to craft targeted marketing strategies and build personalized customer experiences. This trend is especially pronounced in the retail and BFSI sectors, where data-driven decision-making is pivotal for maintaining competitive advantage. As such, investments in data integration technologies are expected to rise, driving market growth.

Another critical growth factor is the surge in e-commerce activities globally. The post-pandemic era has witnessed a significant shift towards online shopping, with consumers preferring the convenience and safety of digital transactions. This surge demands robust data integration solutions to handle increased traffic, manage inventory effectively, and ensure a smooth customer experience. Moreover, the proliferation of various e-commerce platforms and the need to integrate with multiple third-party applications such as payment gateways, customer service tools, and logistics solutions further fuel the demand for data integration software. Companies recognize that efficient data integration is essential for maintaining operational efficiency and customer satisfaction in a highly competitive market.

Furthermore, technological advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of e-commerce data integration software. These technologies enable more sophisticated data analytics, predictive insights, and automation of routine tasks, thereby improving the overall efficiency of e-commerce operations. AI-driven data integration solutions can analyze patterns and behaviors, providing actionable insights that help businesses optimize their offerings and customer engagement strategies. As these technologies continue to evolve, they are expected to further enhance the functionality of data integration tools, making them indispensable to e-commerce businesses looking to stay ahead in a rapidly changing market landscape.

Regionally, North America holds a dominant position in the e-commerce data integration software market, primarily due to the early adoption of advanced technologies and the presence of major market players. The region's mature e-commerce sector and the increasing need for sophisticated data management solutions drive demand. Meanwhile, the Asia Pacific region is poised for significant growth, with a CAGR of 9.2% projected over the forecast period. The region's burgeoning e-commerce sector, fueled by rising internet penetration and a growing middle class, presents lucrative opportunities for data integration solutions providers. Other regions such as Europe, Latin America, and the Middle East & Africa are also experiencing increased adoption of e-commerce platforms, which supports market expansion, albeit at a slower pace compared to North America and Asia Pacific.

Component Analysis

The component segment of the e-commerce data integration software market is bifurcated into software and services. The software component forms the backbone of data integration operations, providing the necessary tools and frameworks to connect disparate data sources and facilitate seamless data flow. As e-commerce businesses scale, the need for robust software solutions to handle complex data sets becomes critical. Advanced software capabilities such as real-time data integration, automated data mapping, and analytics are increasingly sought after, driving the gr

Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTNSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

Zoro.com Product Data Sample – Explore Structured E-commerce Product Listings

This dataset is a sample extraction of product listings from Zoro.com, a leading industrial supply e-commerce platform. It provides structured product-level data that can be used for market research, price comparison engines, product matching models, and e-commerce analytics.

The sample includes a variety of products across tools, hardware, safety equipment, and industrial supplies — with clean, structured fields suitable for both analysis and model training.

Also available: Grainger Product Datasets – structured data from a top industrial supplier.

Submit your custom data requests via the Zoro products page or contact us directly at contact@crawlfeeds.com.

Ideal for previewing before requesting larger or full Zoro datasets

Use Cases:

• Building product comparison or search engines

• Price intelligence and competitor monitoring

• Product classification and attribute extraction

• Training data for e-commerce AI models

Want More?

This is a sample of a much larger dataset extracted from Zoro.com.
👉 Contact us to access full datasets or request custom category extractions.

Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

Explore Market Research Intellect's E-Commerce Data Integration Tool Market Report, valued at USD 3.2 billion in 2024, with a projected market growth to USD 7.8 billion by 2033, and a CAGR of 10.5% from 2026 to 2033.

E-Commerce Transactions: AOV: Health: Pharmacy data was reported at 25.114 USD in 15 May 2024. This records a decrease from the previous number of 25.910 USD for 09 May 2024. E-Commerce Transactions: AOV: Health: Pharmacy data is updated daily, averaging 31.239 USD from Dec 2018 (Median) to 15 May 2024, with 1325 observations. The data reached an all-time high of 587.000 USD in 25 May 2019 and a record low of 0.988 USD in 27 Jan 2023. E-Commerce Transactions: AOV: Health: Pharmacy data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Singapore – Table SG.GI.EC: E-Commerce Transactions: by Category.

Unlock the door to business expansion by investing in our real-time eCommerce leads list. Gain direct access to store owners and make informed decisions with data fields including Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

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• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data

The global E-Commerce Data Integration Tool market is projected to reach a market size of 12.7 Billion USD by 2033, growing at a CAGR of 12.5% during the forecast period. The growing need for businesses to integrate data from multiple sources to gain a comprehensive view of their operations is driving the market. Additionally, the increasing adoption of cloud-based solutions and the rising demand for data analytics are further contributing to market growth. North America is expected to hold the largest market share due to the presence of a large number of e-commerce businesses and the early adoption of data integration solutions. Asia Pacific is projected to witness the highest growth rate during the forecast period, owing to the rapid growth of the e-commerce sector in the region. Key industry players in the market include Webgility, Dataddo, DCKAP Integrator, Hevo Data, Integrate.io, Synder, Adverity, Improvado, Connect Pointz, Syncapps, Adeptia, Appse Connect, Sync Spider, Channelable, Jet Commerce, Productsup, VL Omni, Hightouch, Kosmos eSync, and others.

The global database market, currently valued at $131.67 billion (2025), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 14.21% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of cloud-based solutions offers scalability and cost-effectiveness, fueling market expansion. Furthermore, the burgeoning demand for real-time data analytics across diverse sectors, including BFSI (Banking, Financial Services, and Insurance), retail & e-commerce, and healthcare, is significantly boosting database market growth. The rise of big data and the need for robust data management solutions to handle massive datasets are other significant contributors. While on-premises deployments still hold a significant market share, particularly among large enterprises with stringent security requirements, the cloud segment is projected to witness the highest growth rate over the forecast period. The market is segmented by deployment (cloud, on-premises), enterprise size (SMEs, large enterprises), and end-user vertical (BFSI, retail & e-commerce, logistics & transportation, media & entertainment, healthcare, IT & telecom, others). Competition is intense, with established players like MongoDB, MarkLogic, Redis Labs, and Teradata alongside tech giants such as Microsoft, Amazon, and Google vying for market share through innovation and strategic partnerships. The competitive landscape is characterized by both established vendors and new entrants, leading to continuous innovation in database technologies. The market is witnessing a shift towards NoSQL databases, driven by the need to handle unstructured data and the increasing popularity of cloud-native applications. However, challenges such as data security concerns, the complexity of managing distributed database systems, and the need for skilled professionals to manage and maintain these systems pose potential restraints. The market's growth trajectory is largely positive, with continued expansion anticipated across all key segments and regions. North America and Europe are currently the dominant markets, but rapid growth is expected in Asia-Pacific, driven by increased digitalization and technological advancements in developing economies such as India and China. This comprehensive report provides an in-depth analysis of the global database market, encompassing historical data (2019-2024), current estimates (2025), and future forecasts (2025-2033). It examines key market segments, growth drivers, challenges, and emerging trends, offering valuable insights for businesses, investors, and stakeholders seeking to navigate this dynamic landscape. The study period covers the significant evolution of database technologies, from traditional relational databases to the rise of NoSQL and cloud-based solutions. The report utilizes a robust methodology and extensive primary and secondary research to provide accurate and actionable market intelligence. Keywords include: database market size, database market share, cloud database, NoSQL database, relational database, database management system (DBMS), database market trends, database market growth, database technology. Recent developments include: January 2024: Microsoft and Oracle recently announced the general availability of Oracle Database@Azure, allowing Azure customers to procure, deploy, and use Oracle Database@Azure with the Azure portal and APIs.November 2023: VMware, Inc. and Google Cloud announced an expanded partnership to deliver Google Cloud’s AlloyDB Omni database on VMware Cloud Foundation, starting with on-premises private clouds.. Key drivers for this market are: Increasing Penetration Of Trends Like Big Data And IoT, Increase In The Volume Of Data Generated And Shift Of Enterprise Operations. Potential restraints include: Increasing Penetration Of Trends Like Big Data And IoT, Increase In The Volume Of Data Generated And Shift Of Enterprise Operations. Notable trends are: Retail and E-commerce to Hold Significant Share.

Maximize your online sales potential with our e-commerce data and analytics solutions. Our comprehensive suite of data sources includes real-time information on market trends, consumer behavior, and product pricing. With our advanced analytics tools, you can unlock the power of data-driven insights to optimize your online sales strategy, improve customer engagement, and drive revenue growth.

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Ever wanted to know how Maryland stands up against the competition? The Maryland Data Explorer compares Maryland with the other States and Baltimore/Washington, D.C. metro areas with other top 50 metro areas throughout the country. The Data Explorer also provides Maryland county-to-county comparisons on a variety of economic and demographic factors. Data from this dashboard can be viewed and downloaded from Maryland's Open Data Portal.Developed by ESRGC for the Maryland Department of Commerce.

Comprehensive dataset of 568 E-commerce services in Orenburg Oblast, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Dataset

This dataset was created by agus abdul rahman

Contents

Research data used in the paper intitled "Interaction effects between online reviews and product characteristics on consumer’s trust" publisehd in Revista de Administração Contemporânea (RAC).

E-Commerce Transactions: AOV: Food & Drink: Beverages data was reported at 85.459 USD in 18 Apr 2024. This records a decrease from the previous number of 98.724 USD for 11 Apr 2024. E-Commerce Transactions: AOV: Food & Drink: Beverages data is updated daily, averaging 113.413 USD from Jan 2019 (Median) to 18 Apr 2024, with 721 observations. The data reached an all-time high of 1,302.967 USD in 07 Dec 2022 and a record low of 15.328 USD in 30 Apr 2021. E-Commerce Transactions: AOV: Food & Drink: Beverages data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Singapore – Table SG.GI.EC: E-Commerce Transactions: by Category.