Expanding Elastic:Learn how anyone can leverage heterogeneous compute to extend and accelerate Elasticsearch

Pat McGarry, Vice President of EngineeringAl Leyva, Director of Product Management for Analytics Integration

RyftMarch 7, 2017@Ryft

Analytics at the Speed of Your Business

Challenges: Exponential data growth Traditional text searching is

hindered with complex indexing and transformation requirements

Answers are delayed as legacy architectures require hours or days to find insights

Solutions: Deploy heterogeneous

compute on-premise, hybrid or in the cloud

Abstract away the complexities of powerful FPGA-based compute technology

Real-time insights with no indexing or data preparation latency

Fast data growth is creating the largest business threats & opportunities since the Internet

Accelerate and Extend Elasticsearch with RyftLeverage powerful FPGA- and x86-based heterogeneous compute resources to gain immediate insight without indexing

Reduce need for data indexing and transformation, accelerate searches and extend Elasticsearch capabilities to: Accelerate workflows with the ability to deploy pre-index and post-index

searches Speed search and analysis across unstructured data and JSON, XML, LOGs,

CSV, TSV and other files with no transformation Increase the power of edit distance with user selectable changes to large (>2)

distance requests for Fuzzy Hamming or Levenshtein searches. Enhance wildcard searches to include leading wildcard characters

Flexible Deployment On-Premise, in the Cloud or in Hybrid Environments

Kibana Layer

Elasticsearch Layer

Lucene Layer

ES to Lucene

Ryft ONE / AWS F1 Instance

ES Plugin mechanism routes requests (fuzziness & metric)

The Elastic Stack implements a distributed, JSON-based search and analytics engine:

ES to RyftPrimitive

Elasticsearch on Ryft can be deployed in your environment, on-premise, hybrid or in the cloud:

Deploy via the new Amazon F1 platform.

Deploy on-premise or in hybrid environments with the Ryft ONE accelerator.

Speed search and analysis across unstructured data and JSON, XML, LOGs, CSV, TSV files with no ETL

• Using Elasticsearch command

• Un-indexed human genome data

• Match query with Levenshtein search

• Edit distance of 4

Increase edit distance values beyond 2 using Fuzzy Hamming or Levenshtein searches powered by Ryft

• Using Elasticsearch command

• Match phrase query with Levenshtein search

• With edit distance of 6

• No re-indexing necessary

Pharmaceutical ResearchPharmaceutical Scien ce

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Enhance wildcard searches to include leading wildcard characters powered by Ryft

• Using Elasticsearch command

• Using XML pcap file

• Looking for IP addresses xx.0.90.xx

• No ETL or indexes necessary

Thank you!Contact us at info@ryft.com or www.ryft.com for a demo.