Salesforce 
HubSpot 
NetSuite 
Zendesk 
Microsoft Dynamics 365 Sales 
Dynamics 365 F&O 
Attio 
Pipedrive 
Zoho CRM 
Campfire 
Rillet 
Front 
Shopify 
Amazon Seller Central 
SendGrid 
HubSpot, NetSuite & Postgres in sync A real-time integration platform for connecting meter, ERP, GIS, billing, and field-service data across energy operations.
Utilities and renewable-energy companies depend on specialized operational, customer, billing, and analytics systems. When these systems are not synchronized, data latency and reconciliation work affect grid operations, customer service, and regulatory reporting.
AMI head-ends, OSIsoft PI, DERMS, and SCADA historians use different data models and interfaces. Moving this data into a CIS or analytics warehouse often depends on scheduled extracts that limit operational visibility.
A move-in in Salesforce, a meter swap in ServiceMax, and a final bill in SAP IS-U are parts of the same customer event. Without two-way synchronization, teams must reconcile these records manually, increasing billing and service risk.
Each connector expands the integration surface covered by security and compliance reviews. Typed schemas, row-level lineage, and replayable history provide a governed alternative to undocumented scheduled scripts.
Every tool Stacksync replaces is one fewer vendor, one fewer bill, one fewer integration to maintain.
Changes made in one platform automatically update across all connected systems in real time, eliminating data silos and reducing errors.
Stop building brittle API scripts. With Stacksync, you can trigger complex automated workflows using simple SQL commands.
Expose every enterprise system to your agents through a single MCP layer. Claude, ChatGPT and Gemini get production-grade tools without custom glue code.
Handle massive traffic spikes without losing a single event. Queues buffer your data during surges, ensuring strict ordering and reliable delivery.
Interact with your CRM, ERP, and payment tools as if they were just another table in your database. Say goodbye to rate limits and complex API documentation.
Transform legacy EDI complexity into simple database interactions. Stacksync automatically parses incoming EDI documents directly into your database tables.
Stacksync provides native, typed connectors for systems used by utilities and renewable-energy operators. Connector architecture and synchronization direction depend on the capabilities and requirements of each system.
SAP IS-U 
Oracle CC&B 
Itineris UMAX 
Open Smart Flex 
OSIsoft PI 
Honeywell PHD 
AVEVA Historian 
Itron Riva 
ESRI ArcGIS 
Schneider ArcFM 
Bentley OpenUtilities 
IBM Maximo Salesforce Energy Cloud 
Microsoft Dynamics 365 HubSpot Zendesk 
ServiceMax Salesforce FSL 
ClickSoftware Oracle Field Service 
Snowflake 
Databricks 
BigQuery 
Tableau As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Just Ingredients runs a high-volume DTC business on a stack that has to absorb traffic spikes without dropping an order. Stacksync moves orders, customers and inventory between Shopify, NetSuite and the warehouse in real time, even on the heaviest days of the year.
Nautilus Solar manages community-solar portfolios with production data flowing across HubSpot, NetSuite and Postgres. Stacksync supports these core integrations following the company's move from Boomi, with additional workflow and EDI requirements managed on the same platform.
Eko's engineering team was spending sprints on brittle integration plumbing. Stacksync took over the syncs and workflows between their CRM, data warehouse and product app stack, freeing significant engineering capacity for product innovation.
ACERTUS replaced Heroku Connect with Stacksync's real-time, bidirectional sync between Salesforce and Postgres. Data integration stopped consuming their best engineers and became infrastructure they could build on, reliably, at scale.
Fellow ties together its e-commerce, retail and back-office systems with Stacksync. Inventory, orders and customer data move in real time between Shopify, NetSuite and their support tools, so every team works from the same picture.
How does Stacksync support predictive maintenance in energy?
Stacksync synchronizes sensor and operational data with the analytics and maintenance systems that energy teams use. This gives forecasting and condition-monitoring tools current data for maintenance planning and outage-risk analysis.
Is Stacksync secure and compliant for energy companies?
Stacksync provides audit trails, regional data-processing options, access controls, and other enterprise security capabilities that can support an energy company's compliance program. Customers remain responsible for validating requirements specific to their systems, jurisdictions, and regulatory obligations.
Can Stacksync handle large-scale, distributed energy data?
Yes. Stacksync supports high-volume, high-frequency synchronization across distributed systems. Capacity and architecture are validated against each customer's data volumes, latency requirements, and operating model.
How quickly can Stacksync be deployed in an energy environment?
Deployment time depends on the systems, data model, security requirements, and project scope. Existing connectors and standard configurations can reduce implementation time; Stacksync confirms the architecture and delivery plan during technical discovery.
How does Stacksync support renewable energy integration and smart grid management?
Stacksync synchronizes data from solar, wind, battery-storage, and grid systems with operational and analytics platforms. This provides current data for monitoring, planning, and load-management workflows performed by those systems.
