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Peliqan

One-click data pipelines for ESmiley to DynamoDB (AWS)

Easily sync data from ESmiley to DynamoDB (AWS), explore your data with the rich Data Explorer and transform your ESmiley data with Magical SQL.

DynamoDB (AWS)
eSmiley


ESmiley

ESmiley is a SaaS application used in modern business operations, holding valuable data on customers, transactions, or workflows. Getting ESmiley data out for cross-source analytics typically requires custom scripts or one-off integration tools. Peliqan provides a managed ESmiley connector that syncs data into your warehouse automatically, unlocking cross-source reporting, AI use cases, and reverse ETL workflows.


DynamoDB (AWS)

DynamoDB (AWS) is a cloud data warehouse used as a central destination for analytical workloads, separating storage from compute for scalable performance. It supports SQL-native exploration of large datasets and is the standard target for unified analytics. Peliqan loads DynamoDB (AWS) from upstream business applications through managed ELT connectors with incremental syncs and schema management.

Common ESmiley to DynamoDB (AWS) use cases

Centralizing ESmiley data for analytics
Joining ESmiley with other operational systems
Building a single source of truth in DynamoDB (AWS)
Real-time reporting on ESmiley activity
AI and ML on ESmiley historical data
Reverse ETL from DynamoDB (AWS) back into ESmiley

Instant ELT pipeline & data warehouse loading

Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.

Built-in Data Warehouse

Direct-to-warehouse sync

Sync ESmiley data into DynamoDB (AWS) with a few clicks. Or choose any other data warehouse or database as a destination.

One-Click BI Integration

One-click pipeline setup

Deploy production-ready ELT pipelines with automatic schema detection and incremental updates. Your ESmiley data flows into DynamoDB (AWS) continuously.

AI-Powered SQL Analytics

AI-driven data management

Transform your data during sync with SQL or Python. Use AI to generate transformation logic from plain-English descriptions – clean, validate and enrich data before it lands in DynamoDB (AWS).

RAG & AI Agents

Multi-source integration

Combine ESmiley with 250+ other data sources in DynamoDB (AWS). Create unified datasets for analytics, reporting and machine learning – all in your centralized warehouse.

Python Data Apps

Python & SQL processing

Run custom Python or SQL transformations on your ESmiley data before loading into DynamoDB (AWS). Perfect for data checks, business logic, and complex transformations.

Data Sync & Activation

Reverse ETL & orchestration

After processing your data in DynamoDB (AWS), sync enriched data back to ESmiley or other systems (writeback). Complete the loop with bidirectional sync.

How to connect ESmiley and DynamoDB (AWS)

1. Connect in 30 Seconds

Authenticate your source (ESmiley)
via OAuth or API key – no complex setup.

Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.

Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).

Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.

Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.

Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).

Connect in 30 Seconds

Data Flows Automatically

Query & Analyze

Activate Insights

Beyond simple sync

A cloud data platform designed for the systems and workflows modern data and business teams use every day.

Incremental pipelines

Efficiently sync only new & changed records from ESmiley to DynamoDB (AWS) using incremental loading strategies.

Schema evolution management

Automatically handle schema changes in ESmiley – new fields, renamed columns, and type changes are detected and propagated to DynamoDB (AWS).

Data quality & validation

Built-in data quality checks ensure clean data in DynamoDB (AWS). Set validation rules, detect anomalies, and get alerts for data quality issues.

Enterprise orchestration

Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.

Warehouse-native optimization

Leverage DynamoDB (AWS)-specific features like partitioning, clustering, and materialized views for optimal query performance.

Developer platform

REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.

Technical Specifications

Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses.
Load, transform and orchestrate data reliably with warehouse-native speed and security.

Supported Data Types

Supported Data Types

Performance & scale

Performance & scale

Security features

Security features

More destinations for ESmiley

Send data out

Sync your ESmiley data into these databases and warehouses.

ESmiley

MongoDB

MongoDB

ESmiley

Postgres

Postgres

ESmiley

MS SQL Server

MS SQL Server

ESmiley

Elastic Search

Elastic Search

ESmiley

MySQL

MySQL

ESmiley

Qdrant

Qdrant

More sources for DynamoDB

Bring data in

Sync data from these business apps into DynamoDB dashboards.

DynamoDB

Tally

Tally

DynamoDB

Customer.io

Customer.io

DynamoDB

HubSpot

HubSpot

DynamoDB

Pipedrive

Pipedrive

DynamoDB

Salesforce

Salesforce

DynamoDB

Voucherify

Voucherify

SaaS Data Cockpit

Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.

Built with enterprise-grade security and compliance.

SOC 2 Type II
GDPR-compliant
HIPAA compliant
ISO 27001

G2 Badges 2026

Frequently asked questions

Yes, you can connect multiple instances of ESmiley and unify the data, or you can customize field mappings for each connection.

You control the sync frequency. Choose from near real-time updates, every 15 minutes, hourly, daily, or custom schedules. Near real-time sync is available for most object types.

Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.

Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.

Our professional services team can build custom connectors and integrations. We also offer a 48-hour SLA for new connector development or you can build your own custom pipelines.

Ready to get instant access to all your company data ?

Connect ESmiley to DynamoDB (AWS) in minutes, and build the reports and dashboards your team actually needs.