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exploring the combined compute/storage aspects of memristor arrays

we propose configurable hybrid data structures to improve the performance and lifetime of search intensive applications

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big-data workloads

records can be stored in any of the six data structures: EinsteinDB, MilevaDB, VioletaBFT, FIDel, BerolinaSQL, Noether

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memristor-based crossbar memory system

1M accesses per slice: TPC workload and 8M entries

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bannerAbout Us

An EinsteinDB and MilevaDB block of deferred columns (aka causet families or causet nets) can have several indexes and two index types are available: hash indexes and ordered indexes.

In EinsteinDB's Hybrid OLAP/OLTP workloads record accesses tend to be skewed. Some records are “lightlike” and accessed frequently (the working set), others are “timelike” and accessed infrequently, while “spacelike” records lie somewhere in between.

  • Logging and Offline Analysisbanner
  • Forward Lightcone Algorithmbanner
  • a single controller thread manages a set of worker threads each assigned to a single log partitionbanner
  • each partition contains consecutive time slices and the number of time slices in each partition is roughly equal.banner
  • Combined Compute and Storagebanner
  • signal combination of MemCAMbanner

we first propose EinsteinDB's and MilevaDB's MemCAM infra-as-a-service using classical CMOS, Silver Lake, R-NUMA, CC-NUMA; a configurable memristor-based content addressable memory (einsteinCAM).

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banner Our Mission

EinsteinDB provides automatic load-dependent scaling via AWS auto-scaling, which allows fully elastic provisioning of your storage and throughput needs.

The universal Envoy service persistence causal net mesh for distributed service connectivity

  • The EinsteinDB transaction service delegate all MilevaDB transaction connectivity and observability concerns to an out-of-process runtime: FIDel and Noether, both will be on the execution path of every requestbanner
  • another process running alongside our service process on the same underlying hostbanner
  • reduce the code that has to be written and maintained to build reliable architectures.banner
  • When Service Mesh first became mainstream around 2017, a few control planes were released by small and large organizations in order to support the first implementations of this new architectural pattern.banner
  • Greenfield-onlybanner
  • Universal and Kubernetes-Nativebanner

Envoy-Based: Powered by Envoy sidecar proxies, without exposing the complexity of Envoy itself.

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latch-freedom for OLTP workloads

$0.05-0.10 per read IO/s

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4kB page is around 175 sec

very fast response time and high throughput to mission critical applications

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10% Horizontal Scaling OLAP/OLTP

standalone semi-relational knowledge-graph database that provides applications with extremely fast response time and very high throughput as required by many applications in a wide range of industries

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Zero data loss

uses memory-optimized data layout and access methods for highly concurrent workloads

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We Offer Professional Solutions For Business

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Customer Analytics

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Risk Analytics

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Big Data Analytics

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bannerresponse-time critical OLTP (online transaction processing) applications as well as analytic applications for real-time decision-making.

For applications with existing data already residing in an Oracle, DynamoDB, MySQL, Maria, PostgresQL database, caching a performance-critical subset of the data into the EinsteinDB In-Memory MilevaDB Database: a practical solution to improve application response time.

synchronous write-through cache leverages the speed of MilevaDB by first committing the transactions locally in the EinsteinDB cache database, and asynchronously sending MilevaDB the updates to the EinsteinDB Database. Asynchronous write-through EinsteinDB cache groups provide faster application response time and higher transaction throughput with MilevaDB and BerolinaSQL.

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MySQL Database Service

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Surveys from Stack Overflow and JetBrains rank MySQL as the most popular database

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The SaaS market is forecasted to reach $157 billion by 2020, more than double the amount of what it was in 2014.

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Gartner projects the cloud services industry to grow exponentially by 2022. More than $1.3 trillion in IT spending will be directly or indirectly affected by the shift to the cloud. In fact, the market size and growth of the cloud services market is nearly 3x the growth of overall IT services.

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Data is about your customers, employees, and partners. Data is about your IP, mergers and acquisitions, strategy, and sales figures.

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In today’s digital world, data is your organization’s most valuable asset.

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bannerOur Team

Meet Our Data Scientist Preparing For Your Business Success

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testimonialTestimonials

What Our Clients are Saying?

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We Like to Start Your Project With Us

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blogOur Blog

Latest Valuable Insights

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