Sesame Software

11/04/2026

Salesforce pricing keeps climbing, and more teams are starting to look at their options. What usually stops them is the worry about losing records, attachments, and years of history on the way out.

Our new free migration assessment gives you a scoped, priced plan based on your actual data. You connect read-only, a data expert maps out the move, and the migration finishes with a verification report showing every record came across.

You’ll know what leaving would really take before you decide anything.

11/02/2026

The deal closed. Now you own two Salesforce orgs.

The same customers live in both, under slightly different names. "Account Status" in one org, Customer_Stage__c in the other. Two sets of picklist values that mean almost the same thing. And leadership wants one pipeline report by end of quarter.

Org merges usually go sideways in the same places:

→ Duplicates get migrated before they get matched
→ Field mapping lives in a spreadsheet nobody owns
→ Parent-child relationships break in transit, so contacts land without their accounts
→ There's no rollback plan if the first load goes wrong

A clean merge flips the order. Replicate both orgs into a database first, where you can see everything side by side. Match and dedupe there. Map fields once. Then load into the target org with relationships intact, and keep a full backup of both originals in case you need to go back.

It's slower on day one. It's a lot faster than cleaning up a bad merge for the next year.

Going through one now? What's the messiest part?

10/30/2026

The scariest sound in Salesforce isn’t a scream. It’s “the backup ran fine… so why is this restore missing half the data?”

Most teams find out their backup has gaps at the worst possible moment: mid-recovery, with a deadline and someone from leadership watching. That’s when the usual horrors show up:
👻 Objects that were never backed up
👻 Records that come back without their relationships
👻 Configs and flows that won’t restore cleanly
👻 A recovery that takes days, not hours

A “success” message proves a copy ran. Only a test restore proves you can get your data back.

Which of these would haunt your team the most during a real restore? Tell us below. 🎃👇

10/29/2026

"No coding. No data mapping. Up and running in minutes."
That's what reviewers kept telling G2, and it's how we earned Fastest Implementation this fall.

The hard part is keeping it that way as your data grows. More sources, more records, more jobs running overnight that someone has to check in the morning.

That's why Sesame Software 7.0 isn't a coat of paint. We rebuilt the engine underneath, rewrote the connectors, and redesigned the interface with clearer reporting on every job you run, so you can see what happened without digging for it.

Same easy setup. More room to grow.

Beta opens this winter, but let's see what Sesame Software can do today

10/27/2026

“Fastest Implementation” and “Best Estimated ROI.”
Those are the two badges Sesame Software earned in G2’s Fall 2026 Mid-Market reports, based on reviews from real users.

What do they keep saying? No coding. No data mapping. Up and running in minutes.

Whether you’re replicating data, building pipelines, backing up or migrating between systems, that’s the experience we build for.

And we’re not slowing down. Sesame Software 7.0, our biggest release in years, opens for beta this winter: A new interface. A rebuilt engine. Rewritten connectors.

10/26/2026

Salesforce storage fills up quietly. Then the overage conversation shows up all at once.

Most orgs carry years of records nobody touches day to day: closed cases, old activities, opportunities from three fiscal years ago. You can’t just delete them. Compliance, reporting, and “what happened with this account in 2021?” all depend on them.

So most teams pick one: pay for more storage, or start deleting and hope nobody asks.

There’s a third option:
→ Replicate your full Salesforce history to a database you control, in the cloud, on-prem, or both
→ Keep it queryable with SQL and your BI tools, no Salesforce login required
→ Once it’s safely held outside Salesforce, decide what the org no longer needs to carry

Your org gets lighter. Your history stays intact and searchable.

10/22/2026

Ask five people on your data team how "AI-ready" your data is and you'll get five different answers. None of them are wrong. There's just no shared bar to measure against.

That's usually the real gap. Not the tooling. The lack of a shared definition of "ready."

A working scorecard rates four things, not one:

1. Data quality: how much cleanup happens before a model ever sees the data
2. Integration: how many manual hops the data takes to get there
3. Governance: who owns accuracy, and who's accountable when it drifts
4. Model risk: what happens when the input is wrong, not just when it's missing

Score yourself on all four and the weak spot usually isn't where the team assumed. Schedule a demo and we can talk how to fix it - 🔗 in our pinned posts.

10/21/2026

Most on-prem to cloud migrations don’t stall on moving the data. They stall on everything around it: mapping legacy schemas, keeping up with a source system that won’t sit still, and getting the plan through a security review.

That’s usually when the custom code starts piling up, and someone ends up maintaining it long after cutover.

There’s an easier way. Load your history first, keep the cloud copy in sync until you’re ready to switch, and run the whole thing inside your own environment so sensitive data never leaves your hands. No code required.

Our guide walks through how to plan it, whether you’re headed to Snowflake, Redshift, or Azure SQL:

This guide walks through why these projects stall, what an automated migration actually does, the six architecture decisions that decide whether it succeeds at enterprise scale, and a phased plan you can follow from first connection to final cutover.

10/20/2026

: "Who changed that flow?" shouldn't take an afternoon to answer.

Something broke after the last release. A flow is firing when it shouldn't, or a permission set quietly changed. Now someone's clicking through Setup trying to rebuild what happened.

The faster way is to compare your metadata at two points in time:

→ Pick a "before" point, like the last backup before the release
→ Pick an "after" point, like right now
→ Look at what changed side by side: fields, permissions, flow steps added or removed
→ Fix forward, or restore just the metadata you need

Better yet, make it part of every release: back up right before you deploy, compare right after. The surprise shows up in review instead of in a support ticket.

Metadata Compare is built into Sesame Software's Salesforce Backup & Recovery, so the answer is a few clicks away instead of a Setup Audit Trail scavenger hunt.

How does your team track down config changes today?

10/19/2026

24 days to pull a report. By the time it landed, the numbers were already old.

A U.S.-based staffing consultancy running on Bullhorn had a reporting problem a lot of teams will recognize. Recruiters exporting to Excel by hand. Data scattered across systems that didn’t talk to each other. A 24-day reporting cycle in a business where placements already move in 44 days or less.

Together with PowerTech, we changed where the data lives. Bullhorn data now replicates in near real time into a secure database the consultancy controls, right alongside its other systems. Reports run from there, not from manual exports.

Here’s what changed:
Reporting time: 24 days down to 3.
Staff hours: dozens back every month.
Headroom: an architecture built for 10x growth, no re-platforming required.
“Near real-time data in staffing is key.” — Brad Humphries, Founder & Principal Consultant, PowerTech

If your team spends more time chasing reports than acting on them, the fix usually isn’t a better spreadsheet.