how to solve real-time data problems

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Solve real-time data problems Go from reactive to proactive with Kinetica’s GPU-accelerated database running on IBM’s OpenPOWER LC servers +

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Page 1: How to Solve Real-Time Data Problems

Solve real-time data problems Go from reactive to proactive with Kinetica’s GPU-accelerated database running on IBM’s OpenPOWER LC servers

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Page 2: How to Solve Real-Time Data Problems

Outrun the competition Kinetica’s in-database analytics converges AI and BI workloads on a single database platform.

Page 3: How to Solve Real-Time Data Problems

Kinetica utilizes GPU architecture Enables faster analytics, handling a multi-billion row dataset in milliseconds

Page 4: How to Solve Real-Time Data Problems

Native GIS & IP address object support

GPU-accelerated database operations

Kinetica’s distributed in-memory database with interactive, location-based analytics provides:

Natural language processing

Page 5: How to Solve Real-Time Data Problems

Deep integration with leading open source frameworks

Page 6: How to Solve Real-Time Data Problems

100x faster than legacy in-memory databases

Calculate advanced analytics in sub-second time at a fraction of the cost

Page 7: How to Solve Real-Time Data Problems

Simplify streaming analytics

Streaming analytics + Hadoop Batch mode Spark or MapReduce jobs can push data to Kinetica as needed for fast query on data loaded from HDFS

Page 8: How to Solve Real-Time Data Problems

Kinetica and IBM’s OpenPOWER LC servers are your solution for: Solving real-time problems, managing efficiency at the workload level, and scalability at the datacenter level

Page 9: How to Solve Real-Time Data Problems

Simplify your architecture With IBM’s Power Systems S822LC for HPC, Kinetica is fast

enough to perform analytics at scale in real time

No need to pre-compute aggregates Aggregates are computed on demand

and are always up-to-date

Get better performance Significantly reduced operational complexity,

hardware footprint, and cost

Page 10: How to Solve Real-Time Data Problems

Deliver faster insights Power Systems S822LC for High Performance Computing delivers faster insights for data analytics

Page 11: How to Solve Real-Time Data Problems

Wipe away bottlenecks IBM’s OpenPOWER LC servers break down performance barriers between the CPU and GPU

Page 12: How to Solve Real-Time Data Problems

IBM’s OpenPOWER LC servers – more powerful and open than the rest Built for your most data intensive analytics workloads

Page 13: How to Solve Real-Time Data Problems

Harness open hardware for mission-critical applications LC server line leverage the benefits of the OpenPOWER Foundation, drawing on the collective expertise and investment of the open community

Page 14: How to Solve Real-Time Data Problems

IBM’s OpenPOWER LC server family includes systems that are designed and optimized for:

High performance and technical computing

Big data analytics workloads

Compute intensive and cloud workloads

Page 15: How to Solve Real-Time Data Problems

POWERAccel and IBM’s OpenPOWER LC servers enable integrated acceleration that yields:

Game-changing performance for cognitive and

artificial intelligence (AI) workloads

Performance improvements for big data and

analytics workloads

Page 16: How to Solve Real-Time Data Problems

Kinetica on IBM’s OpenPOWER LC servers integrates with existing infrastructure Put the right workloads on the right infrastructure to achieve maximum efficiency and performance

Page 17: How to Solve Real-Time Data Problems

POWER8 is the first platform to integrate NVIDIA NVLink Almost 3x the I/O, and allows for shared memory across CPUs and GPUs

Page 18: How to Solve Real-Time Data Problems

Explore your data up to 100x faster… & set the pace with real-time demands

for the Cognitive era

For more information go to: ibm.biz/power-kinetica