SnapLogic
introduced a new breakthrough AI capability to help citizen and expert
integrators complete integrations faster and more easily, boosting user
productivity and enabling IT and development teams to focus on more strategic,
high value tasks. The new industry-first feature, called Pipeline Synthesis,
leverages SnapLogic's machine learning-based engine,
Iris AI, to infer user intent and
organizational insight to instantly build and suggest new, complete, end-to-end
integration pipelines to quickly solve an integration task at hand. In addition
to the new Pipeline Synthesis feature, the November 2019 release of the
SnapLogic Intelligent Integration Platform also includes additional Iris AI
enhancements, new Kubernetes support, and enhanced connectivity with
Salesforce, Coupa, and Delta Lake by Databricks.
In 2017, Iris AI was first to employ machine learning to suggest
the next step in building a data pipeline. Earlier this year, Iris began
suggesting already completed pipelines residing within the user's organization
and vetted pipeline patterns from the SnapLogic Patterns Catalog for the user's
consideration. Now, with the new Pipeline Synthesis feature, the user only
needs to identify the endpoints they'd like to connect, and optionally any
other Snaps they might want to use, and Iris AI will automatically build from
scratch a complete, end-to-end pipeline - from original source to desired
target, including all Snaps in between. Like solving a puzzle,
the user simply provides some of the known pieces and SnapLogic's machine
learning algorithms will find and suggest possible solutions to complete the
puzzle. With this AI-assisted head start, integrators can then refine and
configure the pipeline as needed to ensure it is enterprise-grade and
production-ready.
Take, for example, a citizen integrator who wants to build an
integration pipeline to support a quote-to-cash process but has little experience
doing so. The user simply drags Snaps for Salesforce and NetSuite onto
SnapLogic's Designer canvas and Pipeline Synthesis goes to work on behalf of
the user. Pipeline Synthesis automatically detects Salesforce as the core
application used by the company to capture newly-closed sales opportunities and
NetSuite as the application used to process the subsequent invoicing, and then
immediately returns a suggested pipeline with all the likely filter, mapper,
and other transformation Snaps required in between. From there, the user can
refine, configure, and customize as needed. By automating much of the
integration pipeline development, novice and citizen integrators can be
productive in minutes with SnapLogic, and integration specialists can focus on
applying their creativity and expertise to make their pipelines best-in-class.
"From the beginning, our objective with Iris AI has been to
automate many of the routine, predictable steps in building integration
pipelines in order to improve user productivity and speed time and value," said
Greg Benson, Chief Scientist at SnapLogic. "The more Iris learns about the user
and their organization, the smarter it becomes and the more it is able to
simplify and accelerate integration projects. Out of the gate, Pipeline Synthesis
is already a big step forward for our customers, helping them get to meaningful
results that much more quickly. As we develop it further, incorporation of
natural language processing and automatic configuration will greatly reduce the
amount of refinement needed to generate production-ready pipelines."
Latest Platform Release Boosts Productivity, Connectivity, and
Performance
New and enhanced capabilities in the November 2019 release of
the SnapLogic Intelligent Integration Platform advance usability, connectivity,
and performance for customers. Notable updates include:
- Iris
AI Updates: An enhanced Mapper AutoLink function simplifies
source-to-target mappings and provides relevance scoring highlighting the
accuracy of mappings, improving productivity for less technical users. In
addition, the November 2019 release includes improved algorithms to support the
development of pipelines with multiple endpoints.
- Kubernetes
Support: Customers can now integrate the deployment of Snaplexes in
their Kubernetes-based DevOps processes allowing Snaplexes to be spun up as
needed to manage their infrastructure.
- Automated
Regression Testing:Organizations can now designate critical pipelines to be
part of automated regression testing. Users will get a report on pipeline
behavior before and after a new SnapLogic platform release, giving them the
assurances they need to upgrade with ease and confidence.
- SnapLogic
eXtreme Enhancements: This release adds support for Delta Lake, the open source
storage layer created by Databricks, to help data engineers build high quality,
reliable data lakes for improved analytics.
- API
Management Updates: New capabilities to modify API proxies and customize the API
developer portal drive productivity gains for API Managers.
- Snap
Enhancements: New enhancements have been made to some of the more popular
Snaps - including Salesforce, Coupa, Snowflake, and PostgreSQL - helping drive
greater connectivity and value for customers.
The November 2019 release of the SnapLogic Intelligent Integration Platform
is immediately available to all customers.