Real-time
Two-way sync
Changes in Gladly or VoltDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Gladly to VoltDB integration — real-time, two-way sync
Keep Gladly 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Gladly and VoltDB
Treat Gladly like part of your database: its records live in VoltDB as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in VoltDB, where it can be queried and joined like everything else.
Stacksync mirrors Conversation items, Agents, Topics, Tasks from Gladly into Materialized Views, Streams, Export Targets and Topics, Partitioned Tables in VoltDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- Mirror conversations and topics into a warehouse for CX analytics and staffing models.
- Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
- Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
- Push aggregates from VoltDB materialized views into dashboards or operational tools.
Trigger workflows from CRM changes
Field and stage updates in Gladly arrive as row changes in VoltDB, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Gladly become tables in VoltDB you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to VoltDB sync onto the matching records in Gladly, giving go-to-market teams live product context.
What you can sync between Gladly and VoltDB
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.
| Gladly objects | VoltDB objects | |
|---|---|---|
| Agents User records used to attribute work in CX analytics. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. |
What ships with Gladly ⇄ VoltDB
Connect Gladly and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gladly or VoltDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Gladly or VoltDB record.
Observability
Monitoring
Track your Gladly ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Gladly and VoltDB.
How the Gladly and VoltDB connectors work
Gladly
- Integration surface
- REST API
- Authentication
- API tokens used with basic authentication tied to an agent email
- Change detection
- Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
VoltDB
- Integration surface
- SQL over JDBC plus native client libraries and an HTTP/JSON interface
- Authentication
- Database credentials
- Change detection
- Export streams and topics push committed changes to configured targets; otherwise polling
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works
How to connect Gladly to VoltDB — three steps, no code
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.
- 01
Connect your apps
Authenticate Gladly 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.
Gladly
connected
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gladly 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.
objects · Gladly ⇄ VoltDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Gladly VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gladly and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Gladly and VoltDB: authenticate both systems, choose the objects to sync (such as Gladly's Agents and Topics), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Gladly side: Conversation items, Agents, Topics, Tasks, plus custom fields where Gladly exposes them. On the VoltDB side: Materialized Views, Streams, Export Targets and Topics, Partitioned Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Gladly and VoltDB: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Gladly arrive as row changes in VoltDB, ready to drive jobs and notifications.
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Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. 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.
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Gladly: Gladly's model is customer-centric rather than ticket-centric: each customer has one continuous conversation timeline, and channel interactions attach as conversation items. VoltDB: Data is held in memory, with durability provided by command logging and periodic snapshots. Stacksync's field mapping accounts for these differences between Gladly and VoltDB without custom code.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Gladly and VoltDB.
Popular · 8 of 386
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Gladly ⇄ Google Cloud Spanner - Gladly ⇄ Google Cloud SQL
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Gladly ⇄ IBM AS/400 -
Gladly ⇄ IBM Informix -
VoltDB ⇄ Shopify -
VoltDB ⇄ Affinity -
VoltDB ⇄ 6sense -
VoltDB ⇄ Apollo.io
No integrations match .
