SAS To Python PySpark

Automated Migration Solution

More than 60% of IT departments are removing legacy systems to modernize and move to cloud – We saw a need to automate SAS to Python PySpark code conversion.

 

SPROCKET is an Enterprise grade SAS to PySpark migration solution trusted by customers worldwide.

The Problem With Legacy SAS

Expensive &

Restrictive

Many SAS customers feel they are being held for ransom by their vendor. They control how much you pay and when. They also charge 10x more than the competition.

Sluggish &

Doesn’t Scale

SAS was a language designed in the days long before the internet or even personal computers. It simply doesn’t work properly in the Cloud or for modern enterprise Big Data.

SAS…

what’s that?

It’s been over 2 decades since SAS has been a standard in university curriculum’s. Most SAS based resources are at or near retirement. Python PySpark is the industry standard.

Where’s That

Feature?

All the most popular data science and engineering features and libraries are not built into SAS. It’s not Cloud native, requiring expensive migrations to work in the Cloud.

The Future Is PySpark

Apache Spark (PySpark) is a unified data science engine with unparalleled data processing speed and performance @100X+ faster than legacy

Supported on all major cloud platforms including Databricks, AWS, Azure, and GCP, PySpark is the most actively developed open source engine for data science, with exceptional innovation in Data processing, ML, AI, Graph and NLP.

Simple, scalable and agile libraries of consistent well-documented APIs:

⭐ SparkSQL and DataFrames
⭐ Delta Lakes (Lakehouse Engine)
⭐ Structured Streaming
⭐ Spark ML
⭐ Graph (GraphFrames)
⭐ NLP (Spark-NLP)

But Moving Away From SAS is really, really hard

Most SAS migrations end in
Failure and Frustration.

And your vendor knows it!

Many organizations have decades of investment in business logic embedded within SAS code. This can amount to millions of lines of SAS code. SAS is unlike any other analytics tool on the market. You can’t just lift and shift it into another tool.

Global systems integrators and offshore companies charge by the hour. They make a mint, by using a circus of brute force amateurs with little or no expertise in SAS or PySpark. In they end, they will fail, but not before taking lots of your money.

We’ve been trying to move away from SAS for over 5 years, and have gotten almost nowhere

🏛️ CIO of a Fortune 500 Financial Institution

Meet

SAS to Python PySpark Migration
Fast, Simple, Accurate

SPROCKET

SearchParty

Discover Your Legacy Footprint

SPROCKET

Robot

Works Hard So You Don’t Have To

SPROCKET

Validator

Quality Assurance Perfected

Builds an Inventory of SAS Processes

Includes process activity, complexity & volume, to develop a migration strategy, plan, schedule.

Fast & Powerful Automation

Automates SAS to Python PySpark up to 100 times faster than manual “brute force”.

Brings Some Peace Of Mind

Comprehensive validation of all data values in a table row-by-row, column-by-column

Generates Metadata Rich Reports

A metadata rich report detailing all SAS processes across your organization. Discover code ownership, state & complexity.

Accurate & Consistent Results

PEP-8 styled, production-ready and consistent code matching line-by-line with SAS code – easy knowledge transfer.

Standardized & Data Driven Process

Every process, checked the same way. Includes data schema checking, NULL value checking & precision handling.

Prioritizes Processes For Migration

Helps prioritize your most critical SAS processes in your migration strategy, and plan and schedule.

Top Quality Code Generation

Generates professional grade Dataframe API code. Rookies resort to outdated & slow APIs like RDDs & UDFs.

Get There Faster – Accelerate UAT

Accelerates user acceptance and quality assurance testing and validation

SPROCKET SearchParty

Discover Your Legacy Footprint

Builds an Inventory of SAS Processes

Includes SAS process activity, complexity, volume, needed to develop a migration strategy, plan, schedule.

Generates Metadata Rich Reports

A metadata rich report detailing all SAS processes across your organization. Learn what process are owned by which users.

Prioritizes Processes For Migration

Helps prioritize your most critical SAS processes in your migration strategy, and plan and schedule.

SPROCKET Robot

Works Hard So You Don’t Have To

Fast & Powerful Automation

Automates SAS to Python PySpark up to 100 times faster than manual “brute force”.

Accurate & Consistent

PEP-8 styled, production-ready and consistent code matching line-by-line with SAS code – easy knowledge transfer.

Top Quality Code Generation

Generates professional grade Dataframe API code. Rookies resort to outdated & slow APIs like RDDs & UDFs.

SPROCKET Validator

Quality Assurance Perfected

Brings Some Peace Of Mind

Provides comprehensive validation of all data values in a table row-by-row, column-by-column

Standardized & Data Driven Process

Every process, checked the same way. Includes data schema checking, NULL value checking & precision handling.

Get There Faster – Accelerate UAT

Accelerates user acceptance and quality assurance testing and validation

The SPROCKET Runtime – Bringing SAS Language Features To PySpark.

The SPROCKET Runtime supercharges PySpark with features not found anywhere else.

Why We’re Different

 

Results Guaranteed – No “Pay & Pray” Schemes

SLA Driven Enterprise Grade Solution

You Only Pay When We Deliver.

Complete Solution With Complete Feature Coverage

Clean, Accurate, Uniform Code Using Best Practices

 Trusted By Clients & Tech Leaders Like Databricks

Unmatched Expertize In SAS & PySpark

Accomplished Team Of Professionals

SAS Migration Veterans Since 2015

Simple SPROCKET ETL Conversion Options

Quicksilver

1 – 2 Weeks
5,000 Lines
3 Processes
1 Department
 

Fastest Way To Get Started Right Now

Copper

3 – 4 Weeks
25,000 Lines
20 Processes
2 Departments
 

Modernize Your Data Team Today

Brass

4 – 6 Week
50,000 Lines
50 Processes
3 Departments
+ Full Runtime

Start Enjoying The Future Now...

Steel

8 – 10 Weeks
100,000 Lines
200 Processes
No Dept. Limit
+ Full Runtime

Say Goodbye To Expensive Analytics

Tungsten

12 – 16 Weeks
250,000 Lines
500 Processes
No Dept. Limit
+ Full Runtime

Your Data Teams Will Be Rejoicing

Titanium

3-12 Months
No Line Limit
No Proc. Limit
No Dept. Limit
+ Full Runtime

Transformation Can Be This Easy

You have to see it to believe it. Book your demo today and receive a free $25 gift card to Starbucks*

*Offer valid until 2022-05-31 in applicable regions, card value in local currency closest to $25 USD.

 

Book Your Free Demo Today.

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