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Database ⇄ Security and identity

Amazon DynamoDB to Jumpcloud integration — real-time, two-way sync

Keep Amazon DynamoDB and Jumpcloud in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon DynamoDB and Jumpcloud

Close the gap between your application data and your directory: Amazon DynamoDB and Jumpcloud share users, groups, and access in real time, in both directions.

Jumpcloud is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Amazon DynamoDB holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.

Stacksync syncs Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB with System Users (Users), User Groups, Systems (devices), System Groups in Jumpcloud field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.

Common use cases

  • 01 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 03 Read Directory Insights events into Postgres or a warehouse for access reviews, login analytics, and SOC 2 audit evidence beyond JumpCloud's retention window.
  • 04 Read Systems and System Group memberships into a database for device inventory, patch reporting, and conditional-access analysis.

Common sync patterns

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Amazon DynamoDB, Stacksync creates the matching user in Jumpcloud with the right attributes, so access starts from live data instead of a manual ticket.

Deprovision the moment the record changes

When someone is marked inactive or removed in Amazon DynamoDB, the matching account in Jumpcloud is disabled within seconds, closing the window between a departure and a login that still works.

Read users and groups as ordinary tables

Users, groups, and their memberships from Jumpcloud land in Amazon DynamoDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.

What you can sync between Amazon DynamoDB and Jumpcloud

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.

Amazon DynamoDB objects Jumpcloud objects How this pairing syncs
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Systems (devices) Enrolled macOS, Windows, and Linux machines running the JumpCloud agent; agent-enrolled, so the API reads, updates, and deletes systems for inventory and management rather than creating them. Time to Live (TTL) is specific to Amazon DynamoDB and Systems (devices) to Jumpcloud — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. Tables is specific to Amazon DynamoDB and System Groups to Jumpcloud — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Applications (SSO) SAML and OIDC SSO app configs; read via v2 /applications and their user/group assignments created and removed to control who can reach each connected app. Items is specific to Amazon DynamoDB and Applications (SSO) to Jumpcloud — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Policies Device configuration and MDM policies; read, created from templates, and updated via v2 /policies, then bound to systems and system groups to enforce settings across the fleet. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Policies to Jumpcloud — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Commands to Jumpcloud — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Directory Insights events Audit stream of logins and admin actions across SSO, LDAP, RADIUS, systems, and MDM; read-only, queried by POST and used as the change feed and SIEM source. DynamoDB Streams is specific to Amazon DynamoDB and Directory Insights events to Jumpcloud — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Jumpcloud

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.

Amazon DynamoDB Jumpcloud Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.

Jumpcloud Amazon DynamoDB Sub-second propagation

DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Jumpcloud: JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
What ships with Amazon DynamoDB ⇄ Jumpcloud

Connect Amazon DynamoDB and Jumpcloud for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Jumpcloud connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Jumpcloud 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 Amazon DynamoDB or Jumpcloud record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Jumpcloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Jumpcloud.

How the Amazon DynamoDB and Jumpcloud connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

Jumpcloud

Integration surface
JumpCloud REST API - v1 (console.jumpcloud.com/api) for Systems, System Users, and Commands; v2 (/api/v2) for User Groups, System Groups, Applications, Policies, and resource associations; plus the Directory Insights API (api.jumpcloud.com/insights/directory/v1/events) and Webhook Channels for outbound events.
Authentication
Admin API key sent in the x-api-key header (keys are prefixed jca_, generated in the console with a 30-365 day expiry, and disabled for admins by default until enabled); an x-org-id header scopes calls to a single organization for MSP multi-tenant admins. System Context authorization (HMAC-signed) also exists for agent-run calls.
Change detection
No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers.
Capabilities
read · write · webhooks
Rate limits
JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
How it works

How to connect Amazon DynamoDB to Jumpcloud — 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.

  1. 01

    Connect your apps

    Authenticate Amazon DynamoDB and Jumpcloud with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon DynamoDB connected
    Jumpcloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Jumpcloud 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon DynamoDB ⇄ Jumpcloud
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon DynamoDB Jumpcloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Jumpcloud integration FAQ

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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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 536 integrations available for Amazon DynamoDB and Jumpcloud.

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