THE FASTEST GROWING
OPEN DATA SCIENCE
Modern open source analytics platform
powered by Python
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ANACONDA DELIVERS OPEN ENTERPRISE PYTHON
Built to complement the rich, open source Python community, the Anaconda platform provides an enterprise-ready data analytics platform that empowers companies to adopt a modern open data science analytics architecture.
With Python at its core, Anaconda is a platform for connecting your expertise and curiosity with data to explore and deploy innovative analytic apps that solve challenging problems with ease and agility. Processing multi-workload data analytics – from batch through interactive to real-time – the platform is used
for both ad hoc and production deployments.
Anaconda is tuned to take advantage of modern computing environments – everything from multi-core servers, to Spark and Hadoop, to GPUs – delivering flexibility and allowing you to maximize your infrastructure investment. All of this plus the key capabilities required of a open source modern analytics platform – spanning advanced analytics, interactive visualizations, governance, security and operational support.
MORE OF WHY YOU’LL LOVE ANACONDA
Making it easy to install, intuitive to discover, quick to analyze, simple to collaborate, and accessible to all.
Best of both worlds. Develop on your desktop and scale up to high performance.
Anaconda empowers you to easily scale out and parallelize your analytics. Write once and deploy anywhere – Hadoop, Spark, clusters, GPUs, servers – to get the throughput and performance you need to meet your SLAs. Maximize your computing infrastructure with built in parallelized analytics.
Data science is a team sport. Collaborate with your team anywhere in the world.
Great collaboration starts with great communication. Anaconda simplifies publishing of reproducible packages, notebooks, and runtime environments making your working context portable. Notebooks make it easy for everyone on the team to transparently share which aligns, streamlines and expedites deployment.
Everyone knows, the really hard work is (still) the data engineering.
Understanding data and transforming it is crucial to getting accurate results from data science. Data engineering requires broad capabilities to ingest data from any data source and perform transformations from simple data treatments to highly complex interdependent transformations.
Future proof your work with open connectors.
Integrating data sources can be daunting but not with Anaconda. Python easily wraps other languages and can easily be wrapped into other languages. This flexibility allows you to leverage legacy code and data to bring it forward into modern architectures.
THE REALITY TODAY IS THAT AGILITY IS KING.
Agility requires exploration, visualization, and POCs that can move to production without the traditional hurdles.
The days of siloed model building and separate operational deployment is quickly fading. Modern enterprises are demanding faster development cycles with greater flexibility that can meet the fast paced, ever changing needs of the world around us. Anaconda fuses together the phases — from data ingest to exploration through to deployment — eradicating the traditional data analytics bottlenecks and hurdles.
THE MODERN ANALYTICS STACK
Open source modern analytics platform powered by Python
Anaconda with support and indemnification
High performance Anaconda with team collaboration
High performance Anaconda for BIG DATA with team collaboration