Altair SLC is an alternative SAS language
environment that reduces costs and improves efficiency
TROY,
Mich., Aug. 22, 2023 /CNW/ --
Altair (Nasdaq: ALTR), a global leader in computational
science and artificial intelligence (AI), is thrilled to announce
that Altair SLC™ is now available on Google Cloud
Marketplace. Google Cloud Marketplace enterprise customers can now
access Altair SLC without needing additional budget
justification or vendor approval.
"Having the right technology in place to streamline the
migration of legacy workloads to the cloud is essential," said
Dai Vu, managing director, Cloud
Marketplace & ISV GTM Programs, Google Cloud. "With Altair SLC
now available on Google Cloud Marketplace, Altair is helping
customers with seamless migration that can help them better compete
in the market."
Altair SLC is an alternative SAS language environment that
doesn't require any third-party middleware to process applications
containing the SAS language. Its SAS language compiler supports SAS
language and macro syntax, and includes procedure support for
statistics, time series analytics, operational research, machine
learning, matrix manipulation, operational research, graphing, and
output delivery. Altair SLC reduces users' capital costs and
operating expenses thanks to its superb ability to handle high
levels of throughput.
"Altair SLC's unique benefits make it a one-of-a-kind solution
in today's software landscape, and we are confident that customers
will discover that it will quickly become an invaluable addition to
their toolkit," said Sam Mahalingam,
chief technology officer, Altair. "Additionally, moving workloads
from on-premises mainframes to the cloud with Altair SLC helps
organizations modernize, future proof existing investments, and has
the potential to reduce costs related to infrastructure and related
administration."
Altair SLC's key features include:
- Multi-Language, Multi-Platform Capabilities: The
solution's SAS language compiler runs SAS language and SQL code,
and utilizes Python and R compilers to run Python and R code and
exchange SAS language datasets, Pandas, and R data frames. The
software runs on IBM mainframes, in the cloud, and on servers and
workstations running a variety of operating systems. It supports
both remote job submission and the ability to exchange data between
mainframe, cloud, and on-premises installations.
- Seamless Migration: Altair SLC's code analysis tools can
analyze thousands of SAS language programs in minutes and the
Altair team will leverage its years of experience to support users
through the complete migration process, including assessment, proof
of concept, and rollout.
- Easy Data Access: Altair SLC can access virtually any
data source, including cloud services, Hadoop, data warehouses,
databases, SAS language, SPSS, Microsoft®
Excel®, CSV, and other file-based data formats with no
limits on data volumes.
- Flexible Deployment: Users can utilize Altair SLC in
batch or standalone mode to execute programs and models, or use it
with Altair Analytics Workbench™, Altair's integrated
development environment, to create, maintain, and execute programs
and models.
Click the following links to view the Altair SLC and Altair
SLC VM listings on Google Cloud Marketplace. To learn more about
Altair SLC, visit altair.com/altair-slc.
About Altair
Altair is a global leader in computational science and
artificial intelligence (AI) that provides software and cloud
solutions in simulation, high-performance computing (HPC), data
analytics, and AI. Altair enables organizations across all
industries to compete more effectively and drive smarter decisions
in an increasingly connected world – all while creating a greener,
more sustainable future. For more information,
visit https://www.altair.com/.
Media
contacts
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Altair Corporate
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Altair Investor
Relations
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Jennifer Ristic
|
Monica Gould, The
Blueshirt Group
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+1.216.849.3109
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+1
212.871.3927
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corp-newsroom@altair.com
|
ir@altair.com
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Altair Europe/The
Middle East/Africa
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Charlotte
Hartmann
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+49 7031 6208
0
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emea-newsroom@altair.com
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SOURCE Altair