Name: Augmenting or Replacing Hadoop with SingleStore
Start: 2022-07-28T17:00:00Z
End: 2022-07-28T17:00:58.000Z
Location: BrightTALK

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers.

Data is the lifeblood of a business. It pumps through all its vital organs– from revenue-generating web apps to analytics that power business decisions. Despite decades of progress and various systems to manage all of this data, customers have had to live with a silent compromise of the impossible trinity:  Speed | Reliability | Ease of Use

You can have whatever you want as long as it’s not all three. At SingleStore, we believe you shouldn’t have to compromise.  

Join us on December 15th for an interactive webinar to learn more about our new product innovations as part of our December 2022 (8.0) Release and to learn more about how we’re delivering all three:
- Speed: Ludicrously-fast analytics on structured and semi-structured data
- Reliability: Designed for the most demanding, mission-critical applications 
- Ease of Use: Easy to deploy and develop with; Pain-free management

As part of this webinar you can hear from our marquee Customers and Product & Engineering Leaders on:
- What’s new that was launched as part of the December 2022 (8.0) Release
- Product Roadmap and where are we going?
- Customer use case and journey

What’s New in the Winter Release and What’s in the Roadmap?

Nucleus Security, a leading application security / vulnerability management platform, needed a database architecture that could handle fast ingest data from a variety of sources (assets, vulnerabilities data, threat intelligence feeds) and in a variety of formats (JSON, full text, etc). And the team needed to be able to handle complex queries for a security-conscious customer base that demands real-time insights.

After struggling with and eventually discarding MariaDB, Nucleus Security was able to improve performance 20X and cut AWS costs by 3X using SingleStoreDB, reducing their platform’s vulnerability scan from hours to minutes.

But then Nucleus ran up against a new limit based on hardware – join us for an interactive session to learn how they successfully reached a new level of peak performance using the power of a scale-out, distributed architecture through SingleStoreDB “clustering” which achieved 4X greater throughput.

Discussion Topics
- Nucleus’ data journey to powering real-time vulnerability management platform
- How Nucleus moved to a distributed, scale-out architecture with SingleStoreDB
- Performance comparisons (Before and After Clustering)
- [LIVE DEMO] How to handle complex queries with multiple data sources in multiple formats (JSON, full text, etc)

How Nucleus Security Drove 4X Throughput with Distributed SQL

We live in a data-intensive world, where real-time experiences are everything. Join us to learn more about next-level innovations from the leader in unified transactions and analytics. In this session for IT and business professionals, SingleStore’s Chief Innovation Officer Oliver Schabenberger will share, how to build a framework for measuring digital maturity and resilience. This session features:

-Keynote: Data-Intensive Applications in Action with Chief Innovation Officer Oliver Schabenberger
-Partner Showcase: IBM Data Fabric with Chris Zobler, Vice President of Sales, Data and AI, Americas
-Case Study: IoT & Cybersecurity Customer Showcase with Arcules and Nucleus Security
-Industry Perspective: A Fireside Chat with Founder and Editor of the Cloud Database Report, John Foley
-Customer Panel: Powering Modern Data-Intensive Applications with Siemens and Impact
-Fintech (r)evolution Customer Showcase with Bitwyre and Digital Asset Research

Real-Time Data [r]evolution: Data Intensive Applications in Action

Real-time data, analytics and insights are the backbone of modern enterprises. Without real-time figures at your fingertips, businesses can easily make poor decisions that have wide-reaching consequences for the entire organization.

This webinar takes you on a guided tour of SingleStoreDB and its architectural design, explaining how you can build a database for real-time applications.

The talk also touches on:
- 10 new toys for developers with Director of Product Management Eric Hanson
- A deeper look at workspaces with SingleStore Engineer Luis Neves
- A deeper look at Code Engine powered by Wasm with SingleStore Engineer Peter Vetere
- Powering real-time analytics with SingleStoreDB and dbt
- Partner Showcase: breaking data barriers to machine learning with Jorge Torres, CEO MindsDB

How to build a database for real-time applications

Being a data-driven organisation comes with many, much-lauded benefits - evidence-based strategies, optimised processes and new ways of identifying business opportunities among them - but it also comes with challenges.

Recent ESG research found that 28% of IT professionals reported that it takes days to get insight into their data, and 45% reported that it takes weeks or longer. The business impact this has on employee productivity and customer experience cannot be overstated. 79% of organisations reported they had seen an increase in the number of users of data and analytics creating latencies for users and headaches for IT teams. 
 
In this fireside chat Stephen Catanzano, Senior Analyst at ESG, is joined by Domenic Ravita, VP at SingleStore and Franco Gilio, Co-founder and CTO at publica.la. They discuss how businesses can  improve top and bottom lines with real-time applications and analytics. 
 
Join them to learn:
- Why real-time systems are the foundation for any innovative company’s business strategy 
- What defines real-time applications and analytics
- A real-world example (Publica.la) with best practices for bringing real-time in action

Powering Real-time Applications and Analytics

Traditional databases no longer scale to the demands of modern, data-intensive applications. In fact, more modern data applications are being migrated to the Cloud — powered by a distributed relational database like SingleStore. 

However, migrating and replicating databases from traditional data engines like  Oracle, MySQL etc. to a modern data platform like SingleStoreDB can no longer be done with legacy batch pipelines, which incur downtime and huge processing costs. Cloud database migration requires a zero-downtime approach, which is only possible with a streaming data pipeline powered by change data capture (CDC). 

Streaming data pipelines, enabled by real-time change data capture (CDC), continuously transfer new and changed data into SingleStoreDB, increasing efficiency, scalability and performance compared with legacy batch pipelines. Such pipelines should be easy to set up, maintain, scale and auto-recover. 

Join us with data replication platform Arcion to discover how easy it is to migrate and replicate transactional data from Oracle and MySQL into SingleStoreDB Cloud with just a few clicks.

Discussion Topics
The role of CDC in migrations and ongoing updates
Must-have elements for effective CDC
Benefits and use cases for Arcion Cloud
A demo of real-time CDC with Arcion Cloud from Oracle to SingleStoreDB Cloud

Migrate Oracle & MySQL Databases with Zero Downtime for Real-Time Analytics

In this breakout session for developers, architects and engineers, CTO and co-founder Adam Prout will take you on an under-the-hood guided tour of SingleStoreDB and its architectural design. This hour includes:

- Keynote: Building a Database for Real-Time Applications with CTO Adam Prout
- Datahacks: 10 New Toys for Developers with Director of Product Management Eric Hanson
- A Deeper Look at Workspaces with SingleStore Engineer Luis Neves
- A Deeper Look at Code Engine powered by Wasm with SingleStore Engineer Peter Vetere
- Powering real-time analytics with SingleStoreDB and dbt
- Partner Showcase: Breaking Data Barriers to Machine Learning with Jorge Torres, CEO MindsDB

[r]evolution 2022 Supercharging Real-Time: Developers & Software Engineers

In this breakout session for IT and business professionals, SingleStore’s Chief Innovation Officer Oliver Schabenberger will share, how to build a framework for measuring digital maturity and resilience. This session features:

- Keynote: Data-Intensive Applications in Action with Chief Innovation Officer Oliver Schabenberger
- Partner Showcase: IBM Data Fabric with Chris Zobler, Vice President of Sales, Data and AI, Americas
- Case Study: IoT & Cybersecurity Customer Showcase with Arcules and Nucleus Security
- Industry Perspective: A Fireside Chat with Founder and Editor of the Cloud Database Report, John Foley
- Customer Panel: Powering Modern Data-Intensive Applications with Siemens and Impact
- Fintech (r)evolution Customer Showcase with Bitwyre and Digital Asset Research

[r]evolution 2022 Supercharging Real-Time: IT and Business Leaders

We live in a data-intensive world, where real-time experiences are everything. Join us to learn more about next-level innovations from the leader in unified transactions and analytics powering today's global leaders and disruptors.

[r]evolution 2022 Supercharging Real-Time

Organizations today face challenges in keeping pace with the technological advancements that keep them competitive.  This is particularly true when it comes to data management. Many companies struggle to keep their data management architectures current — yet a modern data management architecture delivers the agility you need to adapt to the speed of business, drive innovation and yield competitive advantages.

From tier-one banks and telcos, to tech visionaries like Uber and Akamai, SingleStore empowers leading organizations to drive faster insights and actions — operating more effectively now and in the future.

Join Domenic Ravita, VP of Product Marketing and Rick Negrin, Field CTO at SingleStore along with guest speaker Noel Yuhanna, VP and Principal Analyst at Forrester Research to hear how leading organizations are modernizing their data management platforms.

Discussion Topics
1) Delivering real-time analytics for faster decision making

2) Powering data-intensive applications to meet customer demands

3) Supporting greater business agility with reliable, trusted data

The Future of Data Management: A Thought Leadership Chat

SaaS innovator Foodics revolutionizes the way companies and restaurants handle real-time reporting, inventory management, order submission and employee operations. Headquartered in Riyadh and available across 17 countries, Foodics is growing rapidly around the world — meaning their need to process data at faster speeds and deliver real-time insights is growing, too. This increase in users and analytics moves Foodics into a new category of SaaS: they’re now dealing with a data-intensive application. 

Today’s world demands modern applications that process data quickly and accurately. But the challenge for most SaaS startups is that their data infrastructure isn't designed for data intensity — the idea that high volumes of data should be quickly ingested and processed, no matter how complex or diverse the datasets. How do you meet the demands of a data-intensive application? It starts with the right database. 

Join us for an interactive webinar with SingleStore and Foodics, where you’ll get a closer look at how Foodics supercharged their SaaS application, rising to meet data-intensive demands and keeping their user experiences on point.

Discussion Topics
1) Foodics’ database journey, use cases and lessons learned as they scaled their SaaS app

2) Why (and how) Foodics migrated to SingleStore to increase performance and lower costs

Supercharging SaaS Applications: The Foodics Story

Enterprise Data Warehouses continue to be an effective tool for doing complex data analytics, reporting, and historical comparisons by ingesting structured, clean data from multiple sources.

However, Data Warehouses (DWs) were not built to ingest, process, and analyze today’s new fast, streaming data sources which are increasingly becoming the norm. More importantly, data warehouses struggle to deliver low-latency analytics, and do not scale cost-effectively when presented with high concurrency workloads.

Leading organizations are augmenting their data warehouses with a fast, unified, scale-out data platform such as SingleStore to dramatically improve performance, and accelerate speed of analytics by up to 10-20x.

Join us for a 45-minute interactive session, to learn more about:
- How SingleStore enables fast analytics by augmenting leading data warehouses such as Snowflake, BigQuery, Teradata, and Amazon RedShift
- Customer case studies highlighting how some of the industry leaders are driving 10-20x the performance through DW augmentation

Speakers: 
Rick Negrin - VP, Product Management
Vijay Raja - Director, Product Marketing

20x Faster Analytics through Data Warehouse Augmentation

SingleStore is one of the fastest-growing data processing engines of this new century. Leading Tier-1 Financial Services institutions along with tech visionaries such as Uber, Comcast, and Akamai have adopted SingleStore to drive insights and analytics fast and in the moment, at scale, with high concurrency.

Register for the 45-minute webinar and we'll help you understand how SingleStore works, and why so many top-tier customers have adopted it.

In this webinar, you’ll learn more about:

How we enable blazing fast analytics on petabytes of data, anywhere
Key differentiators between SingleStore and other databases
Key customer case studies and an introductory demo

Introduction to SingleStore

Businesses are more data driven than ever.  According to the IBM Institute of Business Value,  organizations that create extraordinary value from data are 165% more likely to outperform in revenue growth, and 163% more likely to outperform in profitability compared to industry peers.

SingleStore and IBM are partnering  to simplify and unify your data tiers through an OEM agreement.  Joint customers can come to IBM to accelerate time-to-value, improve ROI, with ultra fast analytics and power data-intensive modern apps enabled by SingleStore. This partnership also empowers organizations to save costs and reduce risks by consolidating your legacy databases with IBM, serving as a clearinghouse for databases including licenses, support, security and governance oversight. 

Join us to hear directly from IBM and SingleStore product management leaders — and discover how this partnership helps you enjoy the innovation and scale of SingleStore and IBM teaming up.

Discussion Topics
1) Better together with SingleStore and IBM
2) Building and powering data-intensive applications for the modern era
3) New approach with a hybrid, multi-cloud distributed SQL database
4) Benefits by use cases including operational analytics, dashboard acceleration, fraud, anomaly detection and IoT
5) Live demo

SingleStore and IBM: Simplify & unify your data with blazingly fast SQL database

MySQL and PostgreSQL are the most widely adopted and popular open-source databases on the planet. And developers love MySQL and PostgreSQL for their reliability and their ability to get started quickly, easily, and cost-effectively. 

However these open-source databases are based on legacy single-node architectures, and as your operations and data scale, their performance quickly starts to deteriorate leading to sluggish event-to-insight response times, as well as rising costs.

A number of customers are upgrading from MySQL and PostgreSQL (and their commercial variants) to a modern, distributed SQL database such as SingleStore to drive performance by 20x - 100x, to improve the customer experience for their SaaS offerings, while lowering costs.

Hear directly from Factors.ai, one of our customers on their journey migrating from PostgreSQL, and watch a live demo on how to migrate to SingleStore.

Join us for an interactive customer session to learn more about:
1) Why Factors.ai migrated from PostgreSQL to SingleStore to deliver performance that was never possible 
2) Case Study of the Factors.ai journey, use case, and lessons learned
3) Live Demo on how to migrate from MySQL
4) Best practices, and consideratio

Turbocharge Your Open-Source DB to Drive 100x Faster Performance

SingleStore and MindsDB recently announced a partnership to advance machine learning innovation to provide new machine learning capabilities within the SingleStore database. 

Running MindsDB with SingleStore can significantly increase the performance and reduce the computational requirements of training your machine learning algorithms. SingleStore also supports features and characteristics that allow real-time machine learning, similar to leading streaming platforms.

If you are already a SingleStore user, you can take advantage of key features quickly to enable fast, efficient machine learning capabilities directly in your database by simply connecting SingleStore to the MindsDB service. 

Come join us for a joint webinar with MindsDB to learn more about:
How you can enable real-time machine learning with SingleStore and MindsDB
New capabilities and benefits of running ML models with SingleStore and MindsDB
Column stats, Histograms, Windowing, and other key functions

Real-time Machine Learning in SingleStore with MindsDB

While Hadoop started off with the promise of delivering faster analytical performance on large volumes of data at lower costs, its sheen has worn off and customers are finding themselves stuck with complex and costly legacy architectures that fail to deliver insights and analytics fast.  

SingleStore is the modern data platform built for parallel streaming data ingestion, super low-latency queries, and high concurrency to help you process, analyze, and act on petabytes of data instantly. And leading organizations are augmenting their Hadoop infrastructure with SingleStore to drive up to 1000x faster analytics with zero complexity. 

Join us for an interactive webinar to learn more about how SingleStore can effectively augment or replace your Hadoop infrastructure and help power your applications and analytics.  

You’ll learn more about:

Technology mapping and comparison of capabilities between Hadoop and SingleStore 
Architecture patterns for augmenting and/or replacing your Hadoop installations
Three customer case studies on how organizations have migrated from Hadoop to SingleStore to drive 100-1000x faster insights

Augmenting or Replacing Hadoop with SingleStore

Data Analysis

Technology Mapping

1000x Faster

Hadoop Infrastructure

Data Management

Data Analytics

Architecture

Data Architecture

Digital Transformation

Data mapping

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Augmenting or Replacing Hadoop with SingleStore

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