Fast Data Applications On The Cloud
Deliver interactive data applications and BI on cloud data lakes, with no data
preparation or tuning. Up to 100x faster performance, in less than 1 hour.
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The Challenges of Data Infrastructure at Scale
The shift in access to big data from data scientists towards business users,
using interactive exploration on both historical and real-time data creates
challenges for the key people that manage data platforms:
Time to value
As data grows in scale
and complexity, fast and
simple access requires
increasing efforts and
expertise. Projects take
months of customizing
ETL flows for data
integration and modeling.
Cloud data lakes solved the
challenges of vast amounts
of diverse data.
But need for compute
resources on top of the
lake explodes as user
With more correlated
data collected, it
hard to manage access
and discovery and to
maintain for business
users a consistent
view across disparate
Your platform to run fast on data lakes
Enable your data team to create data applications that are fast for users to interact
with and a joy for data engineers to maintain
- Leverage your existing data investment with a native cloud-based architecture
that seamlessly integrates with AWS data services and common BI applications.
Based on open standards such as Presto ANSI SQL, Hive data catalog and
common data formats.
Fast performance without preparation with the Varada inline indexing platform
that learns and adapts to all dimensions of the data, enabling efficient compute on
any query workload.
Focus on the business logic with materialized views using the Varada real-time
synchronization engine to enable a fully indexed data layer that tracks data and
schema changes in the data lakes.
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