AlgoBridge is a bidirectional Salesforce ↔ PostgreSQL sync engine. It syncs data between your Salesforce org and your own PostgreSQL database in real time using trigger-based change data capture and 10-second batch intervals.

Is AlgoBridge a Heroku Connect alternative?

Yes. AlgoBridge uses a proven state machine, trigger naming conventions (_trigger_log, _abmeta), column names (sfid, _ab_lastop, systemmodstamp), and bidirectional sync logic — running on your own infrastructure.

How does AlgoBridge sync Salesforce data to PostgreSQL?

AlgoBridge uses PostgreSQL triggers to capture row-level changes into a _trigger_log table, then a sync worker running every 10 seconds pushes those changes to Salesforce via the SOAP API (≤200 records) or Bulk API (>200 records). Salesforce changes flow back via CDC streaming or SOQL polling.

AlgoBridge has a free tier that supports up to 2 mapped Salesforce objects. Paid plans unlock more objects, higher record volumes, and team members.

Sync active — 12 objects

4,291 records synced

Next sync in 8s

Zero data loss

BIDIRECTIONAL SYNC

Open-Source Salesforce Sync Engine

Sync Salesforce
to PostgreSQL.
In Real Time.

Trigger-based, bidirectional Salesforce ↔ PostgreSQL sync with fixed 10-second batch intervals. A drop-in Heroku Connect alternative — self-hosted on your own infrastructure.

10s batch interval

SOAP + Bulk API

hstore change tracking

31-day archive

Start Syncing Free See How it Works ↓

How it Works

Production-grade sync precision.
Running on your stack.

AlgoBridge implements the same state machine, trigger names, and column conventions used by production Salesforce sync deployments. Migrate without changing a single query.

Detect Change

Trigger fires on every write

A PostgreSQL trigger (ab_{table}_logtrigger) captures every INSERT, UPDATE, and DELETE into _trigger_log, storing the changed columns as an hstore diff — the standard format for Salesforce sync.

Sync Engine Polls

Every 10 seconds, exactly

The sync worker reads all NEW rows from _trigger_log, marks them PENDING, then batches to Salesforce via SOAP API (≤200 records) or Bulk API (>200).

Confirm & Write Back

SF confirms, PG reflects

On success, _ab_lastop is set to INSERTED or UPDATED. SF→PG writes back with _ab_lastop = SYNCED, bypassing the trigger to prevent feedback loops.

Under the Hood

Sync as a structural
data layer.

Every design decision follows production Salesforce sync conventions. Same trigger names, same column conventions, same API thresholds. Your existing SQL queries run unmodified.

hstore Change Tracking

Column diffs stored as hstore — the standard for Salesforce sync. Not JSONB. CREATE EXTENSION IF NOT EXISTS hstore applied automatically.

SOAP + Bulk API Threshold

≤200 records → Salesforce SOAP API. >200 records → Bulk API v2. Batch size auto-selected per sync cycle.

State Machine: NEW → PENDING → SUCCESS

Industry-standard state names. PENDING means in-flight. Records never silently dropped — FAILED rows are retained with _ab_err populated.

31-Day Trigger Log Archive

Processed rows promoted to _trigger_log_archive, purged after 31 days. Full audit trail, zero unbounded table growth.

Salesforce

PostgreSQL

            _trigger_log
          

            id
            state
            _ab_lastop
            8841
            SUCCESS
            SYNCED
            8842
            PENDING
            PENDING
            8843
            NEW
            —
          

sfid stored as VARCHAR(18) — lookup columns preserve SF ID directly

Why AlgoBridge

Everything a production sync engine provides.
Nothing you don't own.

Fixed 10-Second Cadence

Not configurable — by design. The de facto standard for Salesforce sync is a fixed 10-second batch interval, and we follow it precisely. Predictable latency. No surprise API quota spikes. Production teams can plan around a known upper bound.

Your Infra, Your Keys

PostgreSQL credentials stored in AWS SSM Parameter Store as SecureStrings — never in env files. Bring your own Neon or RDS instance. Your data never leaves your VPC.

Zero Migration Friction

Trigger names, system table schemas, column naming, and _ab_lastop values match the AlgoBridge sync specification. Move to self-hosted sync without touching your application queries.

-- System tables created on connection
CREATE TABLE
        _trigger_log
        (
id SERIAL PRIMARY KEY,
txid BIGINT,
table_name TEXT,
record_id INTEGER,
sfid VARCHAR(18),
action TEXT,
state TEXT
        DEFAULT
        'NEW',
values hstore
);
-- Trigger installed per mapped table
CREATE TRIGGER
        ab_contact_logtrigger
AFTER
        INSERT OR UPDATE OR DELETE
ON
        contact
EXECUTE FUNCTION
        ab_contact_logger();

For Developers

Named to the
de facto standard.

Every trigger, function, and column is named to match the de facto Salesforce sync spec. Tools that introspect your schema — BI systems, dbt, Metabase — see the same structure they expect.

ab_{table}_logtrigger — CDC trigger per mapped object

ab_{table}_status_trigger — Write-back guard (skips on sync)

_abmeta — Schema metadata table

sfid
            VARCHAR(18)

— SF ID stored directly, not FK

Pricing

Simple, predictable pricing.

No per-record fees. No Salesforce API surcharges. Pay for the sync engine — your API limits are your own.

Free

Free /mo

For individual developers and personal projects.

Get started free

1 workspace
Up to 3 mapped objects
10,000 records/month
10s sync interval
Community support

Popular

Starter

$25 /mo

For production teams syncing business-critical data.

Start free trial

Unlimited workspaces
Up to 10 mapped objects
100,000 records/month
SOAP + Bulk API
31-day audit archive
Team members + RBAC
API access + webhooks
Email support

Production

$75 /mo

For large orgs with compliance, SLA, and dedicated infra needs.

Everything in Starter
Unlimited mapped objects
Unlimited records
Dedicated ECS Fargate deployment
SOC 2 audit support
Custom SLA + uptime guarantee
Slack + dedicated support engineer

🧪 Public Beta

Free during the beta period

Pricing shown is our planned post-launch structure. While in beta, all features are available at no cost. Help us build the best Salesforce sync engine by testing and reporting issues.

Get free beta access →

All plans include the full sync engine. No per-record fees. Cancel anytime.

CloudAlgo Consulting

Need a custom
integration built?

AlgoBridge covers the standard sync pattern. But Salesforce integrations get complex fast — custom objects, multi-org routing, legacy middleware, compliance requirements. CloudAlgo builds those bespoke solutions for you.

Custom Salesforce ↔ PostgreSQL mappings & field transforms
Multi-org sync architecture & routing
Private cloud & on-premise deployment support
HIPAA / SOC 2 compliance-aware integration design

Talk to CloudAlgo

Common Engagements

Custom Sync Logic

Field transforms, lookup resolution, conditional sync rules, and upsert logic beyond what standard mapping supports.

Full-Stack Data Platform

Salesforce as your system of record, PostgreSQL as the analytics layer — built, deployed, and maintained by CloudAlgo.

Ongoing Managed Support

Schema changes, API version upgrades, sync monitoring, and incident response — handled by the team that built the engine.

CloudAlgo

cloudalgo.com

Sync Salesforce to PostgreSQL. In Real Time.

Production-grade sync precision. Running on your stack.