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EVIDENTCORE
DatasyncherData integration platform

Replicate, transform and activate enterprise data from one control plane

Datasyncher moves SAP, SaaS, database and file data into your cloud data platform and back out to the systems teams work in. EVIDENTCORE sets it up, builds the pipelines and keeps them running.

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Delivered, implemented and supported by EVIDENTCORE

Datasyncher · Pipelines
  • sales_orders12,480 rows · 42 sSynced
  • business_partners3,106 rows · 11 sQueued
  • opportunities8,912 rows · 27 sQueued
  • gl_line_items51,337 rows · 1 m 54 sQueued
Datasyncherdelivered and supported by EVIDENTCORE
Data movement

Database, SaaS, SAP S/4HANA and file replication into your cloud data platform.

Database replication

Extract and replicate large volumes of data from enterprise databases with minimal impact on the source. High-throughput, low-latency movement keeps business-critical tables ready for analytics and reporting.

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SaaS replication

Extract, integrate and centralize data from SaaS applications into modern cloud data platforms. Break down silos and give every team unified, timely access to CRM and ERP data.

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SAP S/4HANA replication

Use the OData services SAP already exposes to extract, integrate and replicate business-critical data into modern cloud platforms, securely and with minimal impact on the SAP system.

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File replication

Integrate structured, semi-structured and unstructured files from diverse sources into modern cloud data platforms, ready for analytics, machine learning and AI.

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Activate and transform

Reverse ETL, Python transformations and delivery to operational systems.

Reverse ETL

Move enriched, analytics-ready data from cloud warehouses and lakes back into operational systems, so sales and service teams act on the same numbers as analytics.

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Python transformations

Use fully customizable Python routines to transform, cleanse and enrich data before it reaches the destination, so complex business logic lives in one place.

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Operational databases

Transform and enrich data inside your cloud warehouse, then deliver it to downstream operational databases and applications for reporting, auditing and AI initiatives.

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Pipeline control

Scheduling, load order, error handling, server sizing and security.

Flexible scheduling

Fully flexible scheduling lets each pipeline, and each object inside it, run at its own frequency: every few minutes, hourly, at month-end or on a cron expression.

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Load sequencing

Control the data load sequence so master data arrives before the transactions that reference it, and downstream reports never see orphaned records.

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Error handling

Clear, user-friendly error messages, automatic notifications to the right team and complete error logs with automated retries keep ELT pipelines reliable.

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Server sizing

Choose the server size each pipeline runs on. Scale up for a historical load, scale down for steady increments, and only pay for what you use.

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Security

Datasyncher protects sensitive information through every step of the transfer, with a focus on data integrity, security and operational reliability.

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Connectors

Pick a source. Pick a destination. That's a pipeline.

Enterprise-grade connectors for ERP, CRM, lakehouse and file systems.

SAP S/4HANAERP · sourceSales, finance and materials data through SAP Gateway OData services.
D365 Finance & OperationsERP · sourceGeneral ledger, procurement, inventory and project data from D365 F&O.
Microsoft Dynamics 365CRM · sourceAccounts, opportunities, cases and custom entities from Dynamics 365.
SalesforceCRM · source, destination, Reverse ETLStandard and custom objects in, modeled data back out with Reverse ETL.
NetSuiteERP · sourceTransactions, customers, items and custom records from NetSuite.
SnowflakeData platform · source, destinationLoad into Snowflake, or read modeled tables for Reverse ETL and delivery.
DatabricksData platform · source, destinationLand Delta tables in Unity Catalog, or source curated data from the lakehouse.
Microsoft FabricData platform · source, destinationLand Delta tables in a Fabric lakehouse or warehouse on OneLake, or source curated data from Fabric.
SFTPFile & storage · source, destinationPick up and deliver files on partner and internal SFTP servers.
SharePointFile & storage · source, destinationRead Excel and CSV files from document libraries, or publish outputs back.
Google DriveFile & storage · source, destinationSync spreadsheets and files from shared drives, or deliver extracts to them.
Amazon S3File & storage · source, destinationIngest files from buckets or land raw and curated data in your lake.
Azure Data Lake StorageFile & storage · source, destinationRead from and write to ADLS Gen2 containers in your Azure tenant.
Delivered by EVIDENTCORE

The platform, plus the team that runs it

Our data team scopes the sources, builds the pipelines and models, sizes the servers and watches every run. When something fails, we hear about it first. Dashboards and KPI packs on top come from the same team.

SAP data to your lakehouseData transformation services

Proof of concept

One source, one destination and one report, live in weeks.

Pipelines built for you

Replication, load order, schedules and Python steps set up by our team.

Dashboards on top

Finance, sales and inventory KPIs on the new tables.

Run and support

Monitoring, alerts and fixes, with a named team.

Bring one report you rebuild every month

We'll show the Datasyncher pipeline and the dashboard that replace it.

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