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Database ⇄ Developer tools

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

Keep Amazon DynamoDB and Newrelic 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 Newrelic

Keep Amazon DynamoDB and Newrelic in step: the rows in your database and the Alert Policies & Conditions, NRQL Query Results, Entities, Workloads your engineering tools track stay consistent in real time, in both directions.

Amazon DynamoDB is where your application's durable data lives; Newrelic is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams in Amazon DynamoDB with Alert Policies & Conditions, NRQL Query Results, Entities, Workloads in Newrelic field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 02 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 03 Sync the Entity catalog into a CMDB or warehouse for asset inventory, and add or replace entity Tags to keep ownership and environment metadata current.
  • 04 Provision Synthetics Monitors from a service catalog and read their results via NRQL for availability and latency reporting in SQL.

Common sync patterns

Turn rows into the records your tools track

A new or changed row in Amazon DynamoDB creates or updates the matching record in Newrelic, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

Land tool activity as queryable rows

Records and events from Newrelic arrive in Amazon DynamoDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

One integration pattern instead of per-tool API code

Read and write the synced tables in Amazon DynamoDB and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

What you can sync between Amazon DynamoDB and Newrelic

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 Newrelic 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. NRQL Query Results Telemetry events, metrics, logs, and spans queried through NerdGraph's nrql field (or the legacy Insights query API) over time windows; read-only and bounded by data retention, commonly streamed into a warehouse for long-term analysis. Time to Live (TTL) is specific to Amazon DynamoDB and NRQL Query Results to Newrelic — 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. Entities The entity catalog of APM applications, hosts, services, and monitors searched via NerdGraph entitySearch; read for inventory, with tags added or replaced through taggingAddTagsToEntity so ownership and environment metadata stay in sync. Tables is specific to Amazon DynamoDB and Entities to Newrelic — 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. Workloads Workload groupings of related entities via NerdGraph workloadCreate/workloadUpdate/workloadDelete with full CRUD; read for status rollups or provisioned from a service catalog to keep team-level views current. Items is specific to Amazon DynamoDB and Workloads to Newrelic — 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. Synthetics Monitors Synthetic uptime and scripted browser checks managed through NerdGraph synthetics mutations (create, update, delete); monitor results are read via NRQL for availability and latency reporting. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Synthetics Monitors to Newrelic — 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. Custom Events Custom events posted write-only to the Event API on insights-collector with a License/Ingest key; business or pipeline events pushed into New Relic to enrich dashboards, then queried back out with NRQL. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Custom Events to Newrelic — 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. Change Tracking (Deployments) Deployment and change markers recorded through NerdGraph changeTrackingCreateDeployment; written from CI/CD to annotate charts, and read back via NRQL on the Deployment event for release correlation. DynamoDB Streams is specific to Amazon DynamoDB and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Newrelic

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 Newrelic 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 Newrelic through its API, with automatic retries and rate-limit backoff.

Newrelic Amazon DynamoDB Sub-second propagation

DetectionNewrelic notifies Stacksync of record changes through webhook events. NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans).

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.
  • Newrelic: NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.
What ships with Amazon DynamoDB ⇄ Newrelic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Newrelic 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 Newrelic record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Newrelic 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 Newrelic.

How the Amazon DynamoDB and Newrelic 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.

Newrelic

Integration surface
NerdGraph (GraphQL) plus REST data-ingest APIs (Event, Metric, Log, Trace) and the legacy REST API v2
Authentication
User API key (prefixed NRAK-) sent in the API-Key header for NerdGraph queries and mutations; the data-ingest APIs (Event, Metric, Log) use a License/Ingest key in the Api-Key header. Keys, endpoints, and data are region-scoped (US, EU, JP).
Change detection
NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans); config objects such as dashboards, alert policies, and workloads carry no modified-date and are diffed on each run. Alert workflows can push outbound webhook notifications for near-real-time alerting. No CDC feed.
Capabilities
read · write · webhooks
Rate limits
NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.
How it works

How to connect Amazon DynamoDB to Newrelic — 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 Newrelic 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
    Newrelic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Newrelic 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 ⇄ Newrelic
    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 Newrelic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Newrelic integration FAQ

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.

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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 417 integrations available for Amazon DynamoDB and Newrelic.

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