Two-way sync
Changes in Acumatica or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Keep Acumatica and Apache Cassandra in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Vendors, Sales Orders, Invoices, Purchase Orders from Acumatica into Apache Cassandra and keeps both sides consistent in real time. Whatever Acumatica is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Apache Cassandra sync back into Acumatica with its validations respected.
Records from Acumatica live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Acumatica interface, limits, and retries.
Updates in Acumatica arrive as row changes in Apache Cassandra, so jobs and triggers can respond as the business record changes.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Acumatica objects | Apache Cassandra objects | How this pairing syncs | |
|---|---|---|---|
| Stock Items Inventory master data with quantities shared with external sales channels. | Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Stock Items is specific to Acumatica and Keyspaces to Apache Cassandra — each maps to any object or custom field on the other side. | |
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Shipments is specific to Acumatica and Tables to Apache Cassandra — each maps to any object or custom field on the other side. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Payments is specific to Acumatica and Partitions and Rows to Apache Cassandra — each maps to any object or custom field on the other side. | |
| Journal Transactions GL entries replicated into reporting databases. | Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Journal Transactions is specific to Acumatica and Materialized Views to Apache Cassandra — each maps to any object or custom field on the other side. | |
| Projects Project cost and billing structures synced with delivery tools. | Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Projects is specific to Acumatica and Secondary Indexes to Apache Cassandra — each maps to any object or custom field on the other side. | |
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Opportunities and Cases is specific to Acumatica and User-Defined Types to Apache Cassandra — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to Acumatica through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Apache Cassandra connection.
Changes in Acumatica or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Acumatica or Apache Cassandra data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Acumatica or Apache Cassandra record.
Track your Acumatica ⇄ Apache Cassandra sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Acumatica and Apache Cassandra.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Acumatica and Apache Cassandra with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Acumatica and Apache Cassandra objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and Apache Cassandra: authenticate both systems, choose the objects to sync (such as Acumatica's Stock Items and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Acumatica and Apache Cassandra: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Acumatica live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data.
Acumatica: Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries. Authentication: OAuth 2.0 or cookie-based session login with Acumatica credentials. Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Acumatica: Push notifications can be configured to send data-change notifications to an external URL, based on generic inquiries that define which changes to watch. Stacksync's field mapping accounts for these differences between Acumatica and Apache Cassandra without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Acumatica and Apache Cassandra records are not retained after a sync operation.
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:
Every pair below is a real-time, two-way sync. Search all 440 integrations available for Acumatica and Apache Cassandra.