At SnapLogic, we’ve reimagined what seamless and intelligent data integration looks like, making it faster, lighter, and more accessible to every user. SnapLogic AutoSync is our lightweight data integration solution built for agility and speed. It simplifies complex data workflows, delivering a click-and-play experience that enables users to move data quickly, whether they're prototyping with spreadsheets or syncing systems after a merger.
AutoSync isn’t a substitute for our Intelligent Integration Platform (IIP), which is purpose-built for enterprise-grade, operational-scale integrations; however, it is a powerful complement to it. While IIP serves as the long-haul aircraft with the runway to scale complex journeys, AutoSync is the agile chopper or drone—ideal for quick lifts, lightweight tasks, and fast experimentation. It empowers business users and data analysts to spin up pipelines in minutes, making it easier to onboard, iterate, and use for data acquisitions and consolidation before transitioning to IIP for broader, scalable execution. Together, they offer flexibility and power across the entire spectrum of integration needs.
Instant Connectivity, Anywhere Your Data Lives
Modern data ecosystems span clouds, tools, and formats, and AutoSync meets that complexity with simplicity.
- Universal Endpoint Connectivity: SnapLogic AutoSync connects with leading applications and storage platforms like Salesforce, Marketo, Amazon S3, Databricks, and Azure Data Lake (ADLSv2), with on-premise support.
- Groundplex Flexibility: Maintain strict security policies by running pipelines on your organization’s preferred groundplexes, with support for enhanced encryption.
- CSV-Friendly Loading: Uploading CSVs directly from your laptop? AutoSync handles it seamlessly.
- Name Conflict Resolution: Automatically resolves table naming conflicts when ingesting from multiple systems.
- Parquet Support: Leverage Parquet ingestion directly into S3, Databricks, or ADLSv2.
- Salesforce Optimization: Get high-volume ingestion with audit field tracking and improved incremental load performance.
Transform Your Data On-the-Fly
Transformation shouldn’t be an afterthought—it should happen as your data moves.
- In-Flight Transformations: AutoSync enables dynamic filtering, null handling, concatenation, and masking during ingestion.
- Advanced Data Masking: Use format-preserving encryption and value-clearing techniques for sensitive fields.
- Schema Preview & Controls: Preview schemas—even for empty tables—and set ingestion limits with ease.
- Editable Transformations: Revisit and update transformation logic without rebuilding the pipeline.
- Column Merging: Combine multiple string fields into one using a chosen separator, streamlining data and improving storage and query efficiency.
Built for Business Users, Trusted by Data Teams
AutoSync is designed for intuitive use—built for speed, but grounded in enterprise-ready features.
- Usability at Its Core: One-click ingestion, live run control, and minimal configuration required.
- Schema Drift Handling: Automatically adjusts for field length, types, and precision when schemas evolve.
- Historical Tracking: SCD2 support gives visibility into historical changes across key systems.
- Metadata Management: Store and version metadata to enable auditing, debugging, and long-term optimization.
AutoSync Use Cases for Business Users
AutoSync is designed for speed, simplicity, and autonomy—enabling business teams to move data across systems using clicks, not code. Here are key use cases mapped to supported endpoints:
Mergers & Acquisitions – Rapid Data Consolidation
Use Case: After an acquisition, the parent company needs to consolidate backend data from the acquired entity into its core analytics systems.
How AutoSync Helps: Enables business or IT users to quickly move data from operational systems like Salesforce or SQL Server into cloud data warehouses such as Snowflake or BigQuery, without waiting for a full integration roadmap or engineering resources.
Example: Syncing Salesforce → Snowflake to unify account and pipeline data within days of acquisition.
Self-Serve Business Analysis – From Spreadsheets to Cloud Analytics
Use Case: Analysts often rely on isolated Excel or Google Sheets files for decision-making, limiting scalability and collaboration.
How AutoSync Helps: Allows users to upload data from Google Sheets or CSVs and sync it directly into BigQuery, Redshift, or Snowflake for richer analysis.
Example: A business analyst syncs Google Sheets → BigQuery to merge internal metrics with product usage data and apply custom classification models.
Business Process Automation – Replace Manual Handoffs
Use Case: Business teams need recurring data pipelines between systems like Salesforce, ServiceNow, Marketo, or Workday and analytics environments, but rely heavily on data engineering support.
How AutoSync Helps: Automates secure, scheduled data transfers from these operational tools into cloud data warehouses.
Example: Marketing teams can set up Marketo → Redshift pipelines to feed dashboards without engineering intervention.
Finance-Led Data Access – Pricing and Cost-to-Serve Models
Use Case: Finance teams need data across systems to validate pricing strategies and model cost-to-serve by segment.
How AutoSync Helps: Empowers finance users to connect Salesforce (revenue and usage data) and billing systems (via JDBC or SFTP) directly into Snowflake for self-serve modeling.
Example: Building a pipeline from Salesforce → Snowflake and Billing System (via SFTP) → Snowflake to evaluate margin performance and pricing efficiency.
Operational Insights – Custom Pipelines for Ad Hoc Data
Use Case: Teams managing operations, compliance, or support often need to ingest logs or exports into analytics systems for tracking and monitoring.
How AutoSync Helps: Enables users to set up one-off or recurring pipelines using S3, SFTP, or HTTP sources and land data into warehouses for analysis.
Example: Support teams set up SFTP → BigQuery pipelines to analyze support ticket resolution times across products.
Connected Systems Supported by AutoSync (short list)
Sources: Salesforce, Microsoft Dynamics 365, Google Analytics 4, Marketo, ServiceNow, SFTP, Google Sheets, CSV, PostgreSQL, MySQL, Oracle, SQL Server, HTTP, JDBC
Targets: Snowflake, BigQuery, Redshift, Synapse, Databricks, ADLS Gen2
----------------------------------------------------------------------------------------------------------------------------------------------
SnapLogic AutoSync is not just a data ingestion tool—it’s a catalyst for data experimentation, prototyping, and innovation. By giving every user the power to build pipelines in minutes, AutoSync unlocks the full potential of your data, your team, and your business.
