Beijing, 101111,
China
JD.Com Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by JD.Com and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 570895 JD.Com employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that JD.Com has purchased the following applications: Apache Kylin for Data Warehouse in 2015, JD Chain for Blockchain Platform in 2021, Cisco Webex Meetings for Audio Video and Web Conferencing in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems JD.Com is running and its propensity to invest more and deepen its relationship with Apache Software , In-House Applications , Hyperledger or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing JD.Com revenues, which have grown to $161.56 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for JD.Com intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apache Software | Legacy | Apache Kylin | Data Warehouse | Analytics and BI | n/a | 2015 | 2015 |
In 2015, JD.Com deployed Apache Kylin to serve as a data analytics engine for JOS API access behavior and reporting within its JCloud environment, the Apps Category is . The deployment in China focused on platform analytics and API metrics, concentrating on multi-dimensional analysis of high-cardinality telemetry from JOS APIs. Apache Kylin was used to enable ad hoc querying and reporting on platform access patterns and API usage trends.
The implementation leveraged Apache Kylin’s multi-dimensional analysis capabilities and OLAP-style query processing to support analytics across tens of billions of records, with query latencies measured in seconds. Configuration centered on pre-aggregation and cube-based modeling to sustain extreme data growth in platform metrics, aligning storage and index strategies to optimize API metric queries. Apache Kylin served as the core analytics engine for platform-level reporting workloads and supported SQL-based access for analytics consumers.
Operational integration tied Apache Kylin into JD.Com’s JCloud telemetry and reporting pipelines to ingest JOS API logs and metric streams for downstream analysis, operating within the China-region JCloud environment. The scope of the implementation emphasized platform analytics and engineering teams responsible for API observability and reporting, with governance focused on metric schema, cube refresh cadence, and query access controls. The deployment addressed extreme scale by enabling second-scale query performance on multi-dimensional API metrics at tens of billions of rows.
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| In-House Applications | Legacy | JD Chain | Blockchain Platform | Blockchain | n/a | 2021 | 2021 |
In 2021 JD.Com implemented JD Chain as its core Blockchain Platform, positioning JD Chain as the backbone framework for enterprise and developer blockchain services. JD Technology, JD.com’s technical arm, consolidated five years of internal R&D into an open-source framework and platform set that is explicitly organized to support supply chain innovation and multi-industry blockchain use cases.
Implementation comprised a multi-layer architecture centered on the JD Chain underlying framework and an enterprise BaaS layer, JD BaaS, designed to provision applications on public or private clouds within one minute. Functional capabilities implemented include on-chain transaction processing at a reported throughput capacity of 20,000 transactions per second, blockchain-based supply chain traceability, pharmaceutical tracking workflows, and electronic document signing for logistics.
Integrations on the deployment stack are explicit, JD BaaS integrates JD Chain alongside Hyperledger Fabric and Stellar to accommodate heterogeneous ledger workloads and enterprise integration patterns. Operational coverage spans retail, supply chain, digital finance, and electronic licensing, with the traceability platform storing about one billion product records, enabling access by 7.5 million consumers, and onboarding more than 1,000 brands and shops.
Governance and distribution were reinforced through an open-source release strategy, JD Chain code was published to Gitee in March 2021 to extend access to China’s developer and corporate community. The implementation is positioned as an enterprise-grade Blockchain Platform offering open-source frameworks, BaaS provisioning, and industry-specific traceability modules, and has delivered explicit operational outcomes such as approximately RMB 400 million in savings from paperless logistics document signing.
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Blockchain Platform | Blockchain |
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2021 | 2021 |
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Blockchain Platform | Blockchain |
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2021 | 2021 |
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Blockchain Platform | Blockchain |
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2021 | 2021 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Call Center | CRM |
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2012 | 2012 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Partner Relationship Management, Sales Enablement | CRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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