Real-time
Real-time sync
Changes in Crustdata or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Crustdata to Elasticsearch integration — real-time data sync
Keep Crustdata and Elasticsearch 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 Crustdata and Elasticsearch
Treat Crustdata like part of your database: its records live in Elasticsearch as real tables, and writes in either place sync to the other in seconds.
Crustdata is a read-only source: Stacksync reads its data in real time and delivers it into Elasticsearch, so Elasticsearch always reflects the current state of Crustdata — without exports, scripts, or schedulers.
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 Elasticsearch, where it can be queried and joined like everything else.
Common use cases
- 01 Enrich CRM accounts with firmographics, headcount growth, and tech stack so scoring and routing run on complete data.
- 02 Fill missing contact fields on CRM people records from Crustdata profiles instead of manual research.
- 03 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 04 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Elasticsearch sync onto the matching records in Crustdata, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Crustdata API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Crustdata arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
What you can sync between Crustdata and Elasticsearch
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.
| Crustdata objects | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Headcount and Growth Metrics Time-series employee counts by department and region; read to score accounts on hiring momentum and expansion signals. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Headcount and Growth Metrics is specific to Crustdata and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| Tech Stack Detected technologies per company; read to build segments and route accounts by the tools they already use. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Tech Stack is specific to Crustdata and Documents to Elasticsearch — each maps to any object or custom field on the other side. | |
| Screener Results Saved company searches with filter criteria; read on a schedule so target-account lists in the CRM refresh as companies enter the criteria. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Screener Results is specific to Crustdata and Index mappings to Elasticsearch — each maps to any object or custom field on the other side. | |
| Enrichment Responses Real-time enrichment lookups keyed by domain or profile URL; read to append fresh firmographic and contact data at form-fill or record-creation time. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Enrichment Responses is specific to Crustdata and Aliases to Elasticsearch — each maps to any object or custom field on the other side. | |
| Companies Firmographic records — industry, size, funding, growth signals; read out to enrich CRM accounts and warehouse company tables. | Data streams Append-only targets for time-series or event data pushed from source systems. | Companies is specific to Crustdata and Data streams to Elasticsearch — each maps to any object or custom field on the other side. | |
| People Contact and profile data for decision-makers; read into a CRM or outreach tool to fill missing titles, emails, and LinkedIn profiles. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | People is specific to Crustdata and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Crustdata and Elasticsearch
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.
Crustdata Elasticsearch Interval-based propagation
DetectionStacksync polls Crustdata for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Crustdata Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryCrustdata does not accept inbound record writes, so this direction carries requests rather than records: Crustdata's output flows back as field updates on the originating Elasticsearch records.
Rate-limit considerations
- Crustdata: Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Crustdata ⇄ Elasticsearch
Connect Crustdata and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Crustdata–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Crustdata or Elasticsearch 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 Crustdata or Elasticsearch record.
Observability
Monitoring
Track your Crustdata ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Crustdata and Elasticsearch.
How the Crustdata and Elasticsearch connectors work
Crustdata
- Integration surface
- REST API (JSON)
- Authentication
- API token — Authorization: Token header issued per workspace
- Change detection
- Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed
- Capabilities
- read
- Rate limits
- Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works
How to connect Crustdata to Elasticsearch — 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 Crustdata and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Crustdata
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Crustdata and Elasticsearch 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 · Crustdata ⇄ ElasticsearchCustomers 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.
Crustdata ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Crustdata and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Crustdata and Elasticsearch — Crustdata 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.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Crustdata and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Crustdata–Elasticsearch integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Crustdata and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Crustdata: Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Crustdata side: Screener Results, Enrichment Responses, Companies, People, plus custom fields where Crustdata exposes them. On the Elasticsearch side: Aliases, Data streams, Ingest pipelines, Index templates. Stacksync auto-detects both schemas and converts types between the two systems.
-
Crustdata is a read-only source, so this integration runs one-way: Stacksync reads from Crustdata in real time and delivers into Elasticsearch. Field mapping and monitoring work the same as for two-way pairs.
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
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 318 integrations available for Crustdata and Elasticsearch.
Popular · 2 of 318
No integrations match .
