Real-time sync
Changes in BetterContact or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep BetterContact and VoltDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into VoltDB, so VoltDB always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in VoltDB.
Stacksync mirrors Enrichment Request, Enriched Contact, Company, Lead Finder Search from BetterContact into Replicated Tables, Stored Procedures, Materialized Views, Streams in VoltDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.
Write to the synced tables in VoltDB and Stacksync propagates the change into BetterContact, replacing custom integration code.
Updates in BetterContact arrive as row changes in VoltDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
| BetterContact objects | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | Company is specific to BetterContact and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side. | |
| Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Lead Finder Search is specific to BetterContact and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side. | |
| Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Enrichment Request is specific to BetterContact and Replicated Tables to VoltDB — each maps to any object or custom field on the other side. | |
| Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Enriched Contact is specific to BetterContact and Stored Procedures to VoltDB — 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.
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is applied to VoltDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating VoltDB records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BetterContact–VoltDB connection.
Changes in BetterContact or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BetterContact or VoltDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BetterContact or VoltDB record.
Track your BetterContact ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BetterContact and VoltDB.
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 BetterContact and VoltDB 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 BetterContact and VoltDB 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 integration between BetterContact and VoltDB — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Change detection on BetterContact: Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the BetterContact side: Enrichment Request, Enriched Contact, Company, Lead Finder Search, plus custom fields where BetterContact exposes them. On the VoltDB side: Replicated Tables, Stored Procedures, Materialized Views, Streams. Stacksync auto-detects both schemas and converts types between the two systems.
BetterContact is a read-only source, so this integration runs one-way: Stacksync reads from BetterContact in real time and delivers into VoltDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for BetterContact and VoltDB: Automate BetterContact from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in VoltDB and Stacksync propagates the change into BetterContact, replacing custom integration code.
BetterContact: Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint. Authentication: API key. VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 390 integrations available for BetterContact and VoltDB.