Data Integration and Management
Easily mobilize and transform data among cloud and on-premises environments and manage your network of pipelines, all in one platform.
Data integration and automation done differently
SnapLogic delivers a versatile and scalable data integration solution that enables you to connect and load data from on-premises or cloud-based sources. Use either ETL or ELT data load patterns, and after you’ve enriched your data in a cloud data warehouse, connect to your operational applications with reverse ETL. Accomplish all this with one easy to use platform. Eliminate data silos and stop costly and complex integration tool sprawl.
Accelerate data analytics projects for everyone
SnapLogic not only delivers an agile, cloud-native iPaaS for data platforms — we also pioneered graphical “drag-and-snap,” AI-augmented data pipeline design assistance. Our AI-driven next-step recommendation technology AutoSuggest speeds up the creation of pipelines by an order of magnitude compared to manual coding. It’s time to scale your integrations further and operate more efficiently.
Observe and operate SnapLogic pipelines more efficiently
The SnapLogic Integration Catalog makes finding, understanding, and classifying SnapLogic pipelines easier for IT, specialist teams, and business domains. Quickly uncover pipeline touch points across analytical data warehouses, data lakes, applications, APIs, LLMs, vector databases, AI tools, and more. Reveal or add business context to pipelines, manage sprawl and duplication, and monitor usage that may assist with financial operations.
Looking to simplify your data integration?
SnapLogic AutoSync
Synchronize your data in minutes
Accelerate time to value and boost business agility. SnapLogic AutoSync delivers automated ingestion of data from SaaS applications into popular cloud data warehouses.
SnapLogic AutoPrep
Prepare and cleanse data the fast and easy way
Achieve 10X faster time to value vs hand coding. SnapLogic AutoPrep automates data transformation tasks to drive efficiency and accelerate data orchestration in the cloud.
Featured Resources
FAQs
Data integration is the process of bringing together various sources of data to make that data more useful.
For example, by integrating data from your CRM, contact center, website, mobile app, marketing, and sales
software, you can create a 360-degree view of your customer data. Having a 360-degree view is more useful to the business (and ultimately to the customer experience) than just knowing separate data points that don’t seem to connect in each of the systems.
The cornerstone of data integration lies in the processes of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). ETL is about extracting data from varied source systems, transforming it to a standardized format, and then loading it into a target system, say, a data warehouse. On the flip side, ELT is a more modern approach where data is extracted, loaded into the target system, and then transformed for analysis.
A cloud data warehouse is an online repository for all the data that an organization consolidates from various sources – data that can then be accessed and analyzed to run the business. This data could be from multiple data streams, the Internet of Things, relational databases, and data systems.