Thinklytics

Salesforce Heroku Consulting Services

Heroku consulting: Heroku Postgres, Heroku Connect, custom Salesforce integration apps, and runtime cost optimization. Senior-led from Austin, TX.

What this service covers

  • Heroku consulting
  • Heroku Salesforce integration
  • Heroku Postgres
  • Heroku Connect
  • Salesforce custom app
  • Heroku data integration
  • Heroku partner
  • Austin TX Heroku consultant

Proof: client outcomes from this practice

Frequently asked questions

When is Heroku the right choice?

When it's already part of your Salesforce stack and the workloads are integration, Heroku Connect, or Postgres-backed apps. For greenfield projects, we'll tell you whether AWS, GCP, or staying on Heroku is the right call.

Do you do Heroku app development?

Yes, but only for data and integration use cases. We don't build customer-facing web apps as our main work.

Can you reduce our Heroku bill?

Usually yes. Most Heroku bills have 20 to 40 percent wasteful Dynos or unused add-ons. We profile and right-size as part of the engagement.

How long does a Heroku engagement take?

Focused work runs 4 to 8 weeks. A full Heroku Postgres architecture rebuild or Heroku Connect operation typically runs 8 to 14 weeks.

Request the 30-day Analytics Truth Audit to scope this engagement for your environment.

Heroku services that solve real problems.

Heroku expertise that comes from the data side.

What clients ask before they engage

Often paired with Heroku Consulting

Ready to right-size Heroku?

Heroku Postgres architecture

Heroku Connect for Salesforce sync

Custom integration apps

Dyno and add-on cost optimization

Heroku-to-warehouse pipelines

Heroku + Data Cloud architecture

Data and integration focus

Cost-aware

Vendor-neutral on the alternative

Salesforce-aware

Start here when

Consider another path when

The person who owns this is not always the person who signs.

When it's already part of your Salesforce stack and the workloads are integration, Heroku Connect, or Postgres-backed apps. For greenfield projects, we'll tell you whether AWS, GCP, or staying on Heroku is the right call.

Yes, but only for data and integration use cases. We don't build customer-facing web apps as our main work.

Usually yes. Most Heroku bills have 20 to 40 percent wasteful Dynos or unused add-ons. We profile and right-size as part of the engagement.

Focused work runs 4 to 8 weeks. A full Heroku Postgres architecture rebuild or Heroku Connect operation typically runs 8 to 14 weeks.

We design Postgres schemas for Salesforce-adjacent workloads, including read replicas, partitioning, and retention policies.

We design and operate Heroku Connect bidirectional syncs with proper conflict resolution and observability.

When MuleSoft is overkill or the wrong fit, we build small Node, Python, or Ruby apps on Heroku for specific integration jobs.

Most Heroku bills have wasteful Dynos and unused add-ons. We profile, deprecate, and right-size.

We move Heroku Postgres data into Snowflake, BigQuery, or Databricks for analytics.

For orgs combining Heroku data with Salesforce Data Cloud, we design the boundary so each layer does what it does well.

We do Heroku for data, integration, and Salesforce-adjacent jobs. Not generic web apps.

Heroku costs sneak up. We profile and right-size as part of every engagement.

We'll tell you when AWS, GCP, or just running it elsewhere is the better call.

We design Heroku architecture knowing it sits in a Salesforce stack, not in isolation.

When the integration work outgrows what is right to do on Heroku.

Heroku consulting: Heroku is where most Salesforce orgs end up running custom integration apps and ...

A general-purpose Heroku app development shop. We focus on data and integration use cases.

Connecting Heroku data into your reporting and warehouse adds integration.

Re-platforming or modernizing differs from optimizing what runs today.

You run apps on Heroku and need them optimized, scaled, or integrated with your data.

You need the central data foundation built: see Data Foundation.

Your bigger issue is cloud and AI spend: see Cloud & AI Cost Optimization.

You need integration across many systems: see MuleSoft Consulting.

Heroku is where most Salesforce orgs end up running custom integration apps and data workloads. We help teams use Heroku for the things it's good at, like Postgres and Heroku Connect, without paying for things they don't need.

Heroku consulting helps teams run data and integration workloads on Heroku without overpaying for capacity they don't need. Heroku is where most Salesforce orgs end up running custom integration apps and data workloads. Thinklytics helps you use it for what it does well, like Postgres and Heroku Connect, and skip the rest.

Start with an Analytics Truth Audit. We review your Heroku usage, identify waste and gaps in how it's put together, and give you a prioritized fix list.

5+: Years of Heroku data engagements.

30-50%: Average Dyno cost reduction.

0: Mystery costs in Heroku bills.

The people who normally own this problem are CIO, IT director, COO. They are the ones who start the search, and they are not always the person who signs for the work.

A buyer usually describes the situation this way: Someone re-keys the same record into two systems, and approvals move by email.

The spend is normally gated by the CFO or executive sponsor, whose question is: Is the improvement worth the investment? What that person needs to approve it is a business case with stated assumptions and measurable outcomes.