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How Salesforce Speeds Up Data Processing Using Bulk Message Handling

A method for cloud systems to grab multiple tasks at once instead of one by one, using a locking mechanism to ensure data stays consistent during bulk processing.

Granted 2018ActiveExpires 2034Owned by Salesforce com IncInvented by Praveen Murugesan, Vijayanth Devadhar, Marco Helmich + 1 more

Original patent title: “Systems and methods for implementing bulk handling in asynchronous processing

Plain-English explanation by SahiLast reviewed · June 15, 2026

A method for cloud systems to grab multiple tasks at once instead of one by one, using a locking mechanism to ensure data stays consistent during bulk processing. Granted to Salesforce com Inc in 2018 with 28 claims and 7 forward citations.

Key facts

Patent numberUS 10019297
StatusActive
FieldSoftware & Internet
AssigneeSalesforce com Inc
InventorsPraveen Murugesan, Vijayanth Devadhar, Marco Helmich and 1 other
Filed2014
Granted2018
Claims28
Times cited7
LitigationNone on record
Value · $125K$399KModest

Coverage

What does this patent actually cover?

This patent describes a way for a computer system to handle large volumes of background tasks more efficiently. Instead of processing messages one at a time, the system uses a broker to push one task to a worker thread, which then pulls additional tasks from the queue to group them together. The system then attempts to 'lock' this entire group of tasks in a database simultaneously. If the lock is successful, the system processes all the messages in the group at once, which is much faster than individual processing. If the lock fails, the system puts the messages back in the queue to try again later.

The gap

What does this patent NOT cover?

  • Does not cover processing messages that do not require a database lock for synchronization.
  • Does not cover systems that lack a message broker or queue-based architecture.
  • Does not cover individual, non-bulk message processing methods.
  • Does not cover methods that do not use a relational database to verify record existence before locking.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

What made this novel

The innovation lies in the 'pull' request from the thread to the broker to aggregate messages dynamically, combined with an atomic database lock check that ensures the system only processes a batch if all records are available and unlocked.

Systems and methods for implem…(Primary claim)softwaretelecommunicationsai ml

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Salesforce background job processing

02

High-volume enterprise message queues

03

Cloud-based asynchronous task runners

Why it matters

The bigger picture

In large-scale cloud services like Salesforce, processing millions of user requests individually creates a massive bottleneck. This patent provides a specific architectural pattern to increase throughput by reducing the number of database transactions required. It is a foundational technique for maintaining performance in multi-tenant environments where many customers share the same infrastructure.

Filed

June 16, 2014

Granted

July 10, 2018

Market context

Who's building on this

Companies in this space

Salesforce remains the primary user of this architecture within their own platform. Other major cloud infrastructure providers and enterprise SaaS companies utilize similar patterns for asynchronous message handling to manage high-concurrency workloads.

Market impact

This technology enables the high-performance background processing required for modern SaaS platforms to scale. It allows companies to manage massive spikes in data traffic without needing to linearly increase the number of database servers, effectively optimizing the cost and speed of cloud operations.

Claim 1 — Plain English

What this patent covers

This patent describes a way for a computer system to handle large volumes of background tasks more efficiently. Instead of processing messages one at a time, the system uses a broker to push one task to a worker thread, which then pulls additional tasks from the queue to group them together. The system then attempts to 'lock' this entire group of tasks in a database simultaneously. If the lock is successful, the system processes all the messages in the group at once, which is much faster than individual processing. If the lock fails, the system puts the messages back in the queue to try again later.

The clever bit

The innovation lies in the 'pull' request from the thread to the broker to aggregate messages dynamically, combined with an atomic database lock check that ensures the system only processes a batch if all records are available and unlocked.

What it does not cover

  • Does not cover processing messages that do not require a database lock for synchronization.
  • Does not cover systems that lack a message broker or queue-based architecture.
  • Does not cover individual, non-bulk message processing methods.
  • Does not cover methods that do not use a relational database to verify record existence before locking.

Patent timeline

Filing

Application submitted to the patent office

Publication

Application published, typically 18 months after filing

Grant

Patent officially issued

PatentBrief Score

Impact Score

Moderate

Citation count

18/40

Early citations

Claim breadth

19/20

Very broad protection

Recency

10/20

Granted 5–10 years ago

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Modest

$125K$399K

Midpoint $250K · 8.0 yr remaining · industry ×1.6

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

The original legal language

Original claims

28 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

123

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

7

later patents that build on this invention

View patents →

Cite this patent

Murugesan, P., Devadhar, V., Helmich, M., & Yadav, A. (2018). How Salesforce Speeds Up Data Processing Using Bulk Message Handling (U.S. Patent No. 10,019,297). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/10019297/power-bi

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Salesforce Speeds Up Data Processing Using Bulk Message Handling cover?

A method for cloud systems to grab multiple tasks at once instead of one by one, using a locking mechanism to ensure data stays consistent during bulk processing.

Who owns patent US 10019297?

Salesforce com Inc owns this patent, granted in 2018.

When does this patent expire?

This patent is expected to expire on July 10, 2038, when the invention enters the public domain.

What is patent US 10019297 cited by?

This patent has been cited by 7 later patents that build on its ideas.

What problem does this patent solve?

In large-scale cloud services like Salesforce, processing millions of user requests individually creates a massive bottleneck. This patent provides a specific architectural pattern to increase throughput by reducing the number of database transactions required. It is a foundational technique for maintaining performance in multi-tenant environments where many customers share the same infrastructure.

What does this patent NOT cover?

Does not cover processing messages that do not require a database lock for synchronization.

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Last reviewed: June 15, 2026 · PatentBrief is not a law firm and this is not legal advice.