Real-time
Real-time sync
Changes in Lusha or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Lusha to TimescaleDB integration — real-time data sync
Keep Lusha and TimescaleDB 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Lusha and TimescaleDB
Mirror Lusha's data into TimescaleDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Lusha is a read-only source: Stacksync reads its data in real time and delivers it into TimescaleDB, so TimescaleDB always reflects the current state of Lusha — without exports, scripts, or schedulers.
Engineers integrate with tools like Lusha 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 TimescaleDB.
Stacksync mirrors Prospecting Results, Bulk Enrichment Requests, Person Profiles, Company Profiles from Lusha into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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 Lusha, so the tool and the database never disagree.
Common use cases
- 01 Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
- 02 Append firmographic company data to account records before territory or scoring runs.
- 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
Common sync patterns
Read Lusha with a query
Records from Lusha are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Automate Lusha from your codebase
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Lusha, replacing custom integration code.
React to changes as they happen
Updates in Lusha arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
What you can sync between Lusha and TimescaleDB
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.
| Lusha objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Email Addresses Work emails written into CRM contact fields during enrichment. | Views Standard SQL views used to shape or filter data for consumers. | Email Addresses is specific to Lusha and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Phone Numbers is specific to Lusha and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Prospecting Results is specific to Lusha and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Bulk Enrichment Requests is specific to Lusha and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Person Profiles is specific to Lusha and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Company Profiles is specific to Lusha and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Lusha and TimescaleDB
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.
Lusha TimescaleDB Interval-based propagation
DetectionStacksync polls Lusha for changes on an incremental schedule, reading only records changed since the previous pass. Data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Lusha Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryLusha does not accept inbound record writes, so this direction carries requests rather than records: Lusha's output flows back as field updates on the originating TimescaleDB records.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Lusha ⇄ TimescaleDB
Connect Lusha and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Lusha or TimescaleDB 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 Lusha or TimescaleDB record.
Observability
Monitoring
Track your Lusha ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Lusha and TimescaleDB.
How the Lusha and TimescaleDB connectors work
Lusha
- Integration surface
- REST API
- Authentication
- API key
- Change detection
- Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change
- Capabilities
- read
- Rate limits
- Lookups consume credits and are subject to the platform's API rate limits.
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Lusha to TimescaleDB — 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 Lusha and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Lusha
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Lusha and TimescaleDB 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 · Lusha ⇄ TimescaleDBCustomers 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.
Lusha TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lusha and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Lusha and TimescaleDB — Lusha 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.
-
Common patterns for Lusha and TimescaleDB: Read Lusha with a query; Automate Lusha from your codebase; React to changes as they happen. Records from Lusha are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
-
Lusha: REST API. Authentication: API key. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
-
Lusha: It exposes separate person and company endpoints, so contact and account enrichment are distinct calls. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Lusha and TimescaleDB 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 Lusha and TimescaleDB records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Lusha and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Lusha–TimescaleDB integration in-house.
SECURITY
Security teams trust 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
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 300 integrations available for Lusha and TimescaleDB.
Popular · 4 of 300
No integrations match .
