Delivering Data Virtualization and Federation At Enterprise Scale
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Database federation and/or database virtualization was billed as the silver bullet that could alleviate much of the pain associated with data sprawl. Unfortunately, none of the early data federation systems ever lived up to their promise. It turned out that building them was much harder than anybody expected. Facing these challenges, Starburst is excited to offer an cutting-edge solution which will deliver on the original promise of data federation with a new, evolved architecture.
Single point of access to all data
We know the problem all too well
Challenges with legacy data virtualization:
- Creates more vendor lock in.
- Must leverage MPP engines (Spark, Hive, Impala, Trino) for high performance data lake queries.
- Federation servers create performance and concurrency bottlenecks
- Requires integration for fast parallel execution against data lakes
Advantages with Starburst:
- 10 – 100x faster query performance over other MPP engines
- 1/3rd the compute resources vs Hive, Spark & Impala
- Zero reliance on source data systems to perform joins but have the flexibility to pushdown where it makes sense to optimize performance.
- ANSI SQL standard no matter where the data originates
- Proven at 1000+ node and 100+PB scale
- Performant ground to cloud, multi-cloud, and multi-region analytics on data lakes with Starburst Stargate
- No vendor lock-in to underlying data sources. Provides storage optionality
Starburst customer results
Leading Telecom Provider in North America chose Starburst for data virtualization and federation
- Expected reduction in customer churn and improved NPS scores by delivering faster actionable insights on 500,000 daily Care calls, surveys, etc
- Queries that took 2 hours now take 9 minutes
- 61% TCO savings in year 1 by implementing Starburst
- Care use case will be foundational to Semantic Layer, delivering more positive outcomes as supply chain, marketing, and other line of businesses are onboarded
- Considered other data virtualization tools but they could not meet MPP scale that required open source engine, such as Trino
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Discover
Easily search across data sources and clouds to find the data you need.
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Streamline data governance with built-in RBAC and ABAC.
Analyze
Run internet-scale workloads with the power of Trino.
Fast
Accelerate queries with smart indexing and caching technologies like Warp Speed.
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