While many Salesforce data archiving tools played it safe, DataArchiva invested heavily in research and development and raised the bar across the board. Every improvement was deliberate. Every release was designed to solve real enterprise data challenges, not surface-level problems.
The outcome was clear:
- Faster growth.
- Stronger adoption.
- Deeper trust from organizations that take compliance, performance, and security seriously.
DataArchiva continues to grow year over year because it focuses on what actually matters. Scalable archiving. Enterprise-grade security. Compliance-ready retention. This has been our strongest year yet, both in innovation and execution.
This recap is not about reflection. It is about setting expectations for what advanced Salesforce data archiving should look like going forward.
2025 Product Releases: How DataArchiva Redefined Enterprise Salesforce Archiving
For years, Salesforce data archiving across the industry followed the same fragile pattern. Archive what looks inactive. Exclude what feels risky. Rely on documentation, human judgment, and post-process audits to stay compliant.
That approach worked only up to a point.
Read the detailed Salesforce Data Archiving Guide.
As orgs crossed 10 million, 50 million, or even 100 million records, those manual guardrails collapsed. Compliance expectations tightened. Security reviews got stricter. Performance bottlenecks became expensive. And suddenly, archiving was no longer a cost optimization exercise. It became an operational and legal risk surface.
The 2025 DataArchiva releases were designed to remove that risk layer by layer. They enable secure archiving to your own infrastructure; AWS, Azure, GCP, Salesforce Big Objects, Heroku, or even on-prem, giving you full control over your data.
Explore all the Features & Capabilities of DataArchiva’s External Archiving Application
| Feature | Earlier State | 2025 Upgrade | Business/Compliance Impact |
|---|---|---|---|
| Legal Hold Functionality | Legal hold was manual and external to the archiving lifecycle. Teams relied on reports, flags, and process documentation. Enforcement depended on people and audits. | Legal hold is now a native, system-enforced control. Records under hold are automatically protected across archiving, purge, and retention with no secondary configuration. | Compliance shifts from intent-based to system-enforced. Eliminates accidental processing and significantly reduces legal risk and response time. |
| Purge Process with Legal Hold Awareness | Purge rules are executed blindly if the criteria were met. Legal checks happened before configuration or after execution via audits. | Purge engine is now context-aware and checks legal hold status in real time. Records under hold are automatically bypassed. | Removes one of the highest-risk failure points in regulated environments. Safety is enforced by design, not audits. |
| UI-Based Exclusion of Mandatory Objects | Exclusions relied on institutional knowledge and documentation. Misconfiguration was common during admin changes or org restructuring. | Admins can explicitly define mandatory objects in the UI, which are automatically excluded from archive and purge workflows. | Configuration errors reduced by ~60%, especially in complex or highly customized Salesforce orgs. |
| Archive Process Optimization | Archive jobs slowed as data volumes grew. Teams ran smaller batches, limited execution windows, and depended on off-hours processing. | The archive engine was re-architected with optimized I/O and query execution to handle high-volume datasets efficiently. | Up to 2x faster archive runs, no fragmentation, and minimal impact on Salesforce performance—even at massive scale. |
| Indexing Improvements for Scale | Indexing was manual, reactive, and often done during active archive jobs, causing resource contention and slowdowns. | Indexes are now automatically created during object configuration and can run asynchronously in the background. | Archived data is searchable from day one. Search and retrieval performance improved by 35–40% without disrupting archive jobs. |
| AWS Secrets Manager Integration | Credentials were embedded in configs and environment files, increasing exposure risk and complicating audits and rotation. | All sensitive credentials are now stored and managed in AWS Secrets Manager, encrypted and centrally controlled. | Over 70% reduction in credential-related audit findings and a significantly reduced attack surface. |
| OAuth Authentication (Salesforce ↔ App Server) | Long-lived, static tokens were hardcoded with limited visibility and no easy revocation. | OAuth with short-lived, revocable tokens now governs all communication. All authentication events are logged and auditable. | Stronger access control, reduced credential exposure risk, and real-time visibility for security teams. |
| Full Database-Level Decryption (Exit Strategy) | Encrypted archive data could only be accessed within platform workflows, raising concerns about vendor lock-in and long-term accessibility. | Enables complete database-level decryption during exit or migration, delivering usable data independent of the platform. | Full data ownership, reduced vendor dependency, and ~50% faster exit and migration planning in regulated environments. |
| Log a Support Case from Inside Salesforce | Support cases raised via email or external portals lost context and required manual rework and clarification. | Admins can now log cases directly from Salesforce with automatic inclusion of org, user, object, and metadata context. | ~30% faster case resolution, better triage, and a smoother support experience with zero context loss. |
Legal Hold Functionality
Earlier state:Legal hold was never truly part of the archiving lifecycle. Teams relied on reports to identify records, flagged them manually, and trusted that downstream processes like archiving or purging would respect those flags. Enforcement lived outside the system. Auditors asked questions. Teams explained process documents.
That model simply does not scale.
What changed:
Legal hold is now a native, system-enforced control inside DataArchiva.
When a legal hold is applied, affected records are automatically protected
across archiving, purge, and retention workflows. There is no secondary
configuration and no possibility of accidental processing.
Why it matters:
This shifts compliance from “we intend not to touch this data” to “the system physically cannot touch it.”
Use case:A healthcare organization handling litigation-related case records can now place an instant legal hold on specific encounters without pausing archive jobs or risking purge violations. What earlier required weeks of coordination is now enforced immediately, cutting legal response timelines by more than 2x.
See how a metrology systems manufacturer achieved 7-year Salesforce data retention with DataArchiva’s precision archiving.
Purge Process Modification to Support Legal Hold
Earlier state:Purge processes were rule-based but blind. If a record met purge criteria, it was removed. Legal checks happened before configuration or after execution through audits.
What changed:The purge engine is now context-aware. Every purge evaluation checks legal hold status in real time. If a record is under hold, purge logic automatically bypasses it.
Impact:This removes one of the highest-risk failure points in regulated environments. Organizations no longer review purge logs “just to be safe.” The system enforces safety by design.
Inside a Metrology Systems Manufacturer’s Approach to 7-Year Salesforce Data Retention
UI-Based Configuration to Exclude Mandatory Objects
Earlier state:Critical objects like audit logs, compliance records, or regulatory history were excluded based on institutional knowledge. Often, this knowledge lived in documents or tribal memory.
Misconfiguration was common during admin changes or org restructuring.
What changed:Admins can now explicitly define mandatory objects directly in the UI during archive configuration. These objects are automatically excluded from archiving and purge workflows.
Outcome:In complex orgs with custom data models, configuration errors dropped by nearly 60 percent, especially during large-scale archive rollouts.
Archive Process Optimization
Earlier state:As data volumes grew, archive jobs became slower and harder to manage. Teams were forced to run smaller batches, restrict execution windows, and rely on off-hours processing, creating operational dependencies and scheduling risk.
What changed:The archive engine was re-architected to process high-volume datasets more efficiently. I/O overhead was reduced and query execution optimized, allowing the system to scale without manual tuning.
Result:Customers archiving tens of millions of records now experience up to 2x faster archive runs. Jobs completed without fragmentation and without impacting Salesforce application performance.
From Strategy to Execution: A Guide to Salesforce Data Archiving
Indexing Improvements Built for Scale
Earlier state:Index creation was reactive and manual, typically done only after performance issues were reported. Indexes were also created during active archive execution, competing for resources and slowing down both indexing and archival jobs.
What changed:DataArchiva now automatically creates indexes during object configuration using Salesforce index fields, ensuring alignment with native data access patterns. In addition, index creation can run asynchronously in the background, eliminating resource contention and preventing archive job disruptions.
Why it matters:Archived data becomes searchable and report-ready from day one, without post-deployment tuning. Teams can scale indexing across large datasets while maintaining consistent archive performance.
Performance impact:Search and retrieval operations are 35–40 percent faster for frequently queried archived objects. In one financial services use case, 15 reporting fields were indexed while daily archival jobs continued uninterrupted, avoiding any performance degradation.
AWS Secrets Manager Integration
Earlier state:Sensitive credentials were embedded in application configurations and environment files. This increased the risk of exposure and made rotation and audits harder to manage.
What changed:All critical credentials are now stored and managed in AWS Secrets Manager. Secrets are encrypted, centrally controlled, and rotated according to cloud security best practices.
Why it matters:The overall attack surface is significantly reduced with stronger access controls. Security audits become faster and more consistent.
Outcome:
Customers have seen over a 70 percent reduction in credential-related audit findings.
An American Healthcare Claims Immunity For 80 GB Of Salesforce Data With DataArchiva On AWS Cloud
OAuth Authentication Between Salesforce and Application Server
Earlier state:Static tokens were hardcoded and long-lived, meaning compromised credentials could remain active indefinitely. There was limited visibility into how or when access was being used.
What changed:OAuth now governs all communication with short-lived, revocable tokens issued per session. Every authentication event is logged and centrally auditable.
Security impact:Credential exposure risk is reduced significantly by limiting token lifetime and scope. Security teams gained clear, real-time control over access without service disruption.
Full Database-Level Decryption (Exit Strategy)
Earlier state:Although archive data was encrypted for security, it could only be accessed and used within platform-defined workflows. This created uncertainty during audits, platform exits, or migrations, as organizations could not independently retrieve or repurpose their own historical data. In highly regulated environments, this dependency raised concerns around long-term data accessibility and vendor lock-in.
What changed:DataArchiva now enables complete, database-level decryption of encrypted archive data as part of a structured exit process. This ensures all archived records, including metadata and related objects, can be securely decrypted and delivered in usable formats, independent of the platform.
Why it matters:Organizations maintain full control and ownership of their data throughout its lifecycle. They can meet regulatory, legal, and audit requirements without relying on the originating platform, eliminating vendor dependency and reducing risk during transitions.
Result:
Exit and migration activities became significantly more predictable and faster, cutting planning and execution timelines by nearly 50 percent in regulated environments.
Log a Case From Inside Salesforce
Earlier state:When support issues had to be raised outside Salesforce, via email, portals, or third-party tools, critical context was often lost. Case details had to be re-explained, screenshots and record links were shared separately, and support teams spent extra time reconstructing the issue. This led to delays, back-and-forth communication, and slower overall resolution.
What changed:Admins can now log support cases directly from within their Salesforce org. The case is automatically created with relevant org details, user information, affected objects, and contextual metadata. This eliminates manual data entry and ensures the support team receives a complete, accurate view of the issue from the start.
Outcome:With full context available at case creation and no dependency on external tools, triage became significantly faster. Support teams could reproduce issues more easily and prioritize accurately, resulting in a 30% reduction in resolution time and a smoother, more efficient support experience overall.
Final Thoughts
At some point, it becomes less about features and more about common sense.
If your Salesforce data is growing, compliance pressure is real, and teams are spending time working around storage limits, performance slowdowns, or audit questions, that’s not “just how it is.” That’s friction, and friction costs money.
What DataArchiva changes is the experience. Things run smoothly. Security conversations get easier. Planning stops feeling reactive. Data feels controlled, not scattered or locked away somewhere you hope you’ll never have to touch.
And when all of that happens together, the payoff is simple: less firefighting, fewer compromises, and noticeably lower costs over time.
If you’re still managing Salesforce data the hard way, you already know it.
Book a demo and see what it feels like when data management finally gets out of the way.
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