You've requested...

Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio

If a new window did not open, click here to view this asset.

Download this next:

Three Key Considerations When Evaluating Open Source Vs. Proprietary Database Management Tools

Organizations using multiple data platforms face challenges in delivering insights quickly. Database administrators need solutions to simplify tasks, manage diverse data, and move data efficiently for decision-making.

This white paper examines considerations for open source vs. proprietary database tools, including:

  • Security: Open source may weaken security, while proprietary solutions offer stronger security and faster updates.
  • Features: Proprietary tools often have more capabilities like analytics and data modeling, boosting productivity.
  • Support: Commercial products usually provide better support with live technicians.

Read on now to determine the right database tool for your organization.

These are also closely related to: "Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio"

  • Unlock the power of generative AI with operational databases

    Generative AI is revolutionizing innovation, and yet implementing GenAI isn’t as easy as flicking a switch. According to Google’s Data & AI Trends report, 86% of organizations recognize that delivering contextual and relevant user experiences through GenAI-integrated databases has a substantial positive impact. However, only 14% of those folks are satisfied with legacy database performance.

    This white paper examines how operational databases are central to creating effective enterprise GenAI applications.

    Discover how to get started by reading on, as well as how Google Cloud's database and AI services can boost your GenAI projects’ effectiveness.

  • 3 major hurdles of managing multiple database platforms

    As organizations use more database platforms, IT teams face challenges in managing this sprawl. This white paper explores three major hurdles of managing multiple database platforms, including:

    • Uncontrolled data proliferation across systems, undermining integration and business intelligence
    • Difficulty in finding and retaining experts for each platform
    • Increased security and compliance risks from managing data across multiple cloud environments

    By reading, you’ll discover best practices to unify your heterogeneous databases, maximize ROI, and secure your data environment. Access the white paper now to find out how you can overcome these challenges.

Find more content like what you just read:

  • Five Must-Have Capabilities to Boost Data Intelligence Value

    Discover five must-have data intelligence capabilities to boost business value, including accelerating data product delivery, leveraging data modeling to advance governance, and integrating data quality automation. Learn how to maximize the value of your data and analytics pipelines by reading this white paper.

    Download

  • State of the Database Landscape: The survey results are in

    In today's rapidly evolving landscape, managing the security of large and complex database estates is a critical challenge for organizations. Join members of Redgate's Information Security Group, headed up by Damon Witherick (Director of

    Download

  • The Race To Stay Ahead How Leading Asset Managers Are Modernizing The Investment Research Process

    Asset managers face industry challenges like AUM declines and margin pressures. To thrive, they must modernize their investment research process using new technologies like cloud, automation, and AI. Learn how leading firms are transforming their data and technology stacks in this report.

    Download

  • How Rimini Support for Oracle Empowers Growth and Innovation

    This video reveals the results of the recent “Forces Driving the Future of Your Oracle Database Roadmap” survey pertaining to Oracle support, including the benefits your business can realize by leveraging third-party Oracle support.

    Download

  • Case study: CHG Healthcare expands tech capabilities with Rimini Street

    In this brief video, learn how CHG Healthcare – a US-based healthcare staffing agency with an industry-leading database of 700,000 providers – partnered with Rimini Street in order to expand their technology stack and improve experiences for their employees.

    Download

  • Top Five Reasons to Choose SharePlex for Data Replication

    In this white paper, you'll discover why SharePlex is a superior choice for Oracle data replication. You'll learn how SharePlex simplifies setup, provides unmatched support, offers flexible scalability, and delivers higher productivity - all at a low cost. Read the full white paper now to learn more.

    Download

  • Splunk Expert Evaluates Gravwell's Capabilities

    This white paper dives into the Gravwell platform, highlighting its ease of deployment, customer support, and ability to address common pain points. Discover how Gravwell can help you unlock the value of your data without limits. Read the full white paper to learn more.

    Download

  • How do Iconic Business Models such as Airbnb Emerge?

    Brands such as Airbnb disrupt industries and change how consumers think about the market, according to this research from Cass Business School, City University London.

    Download

  • Database as a Service For Your Enterprise Cloud

    Many organizations are moving to a database as a service (DBaaS) model for managing and operating their databases because DBaaS model is efficient, agile, cost-effective and scalable. What if copying a database were as easy as the copy and paste operations on your computer? Join us to learn how Nutanix Era automates and simplifies database management, bringing one-click simplicity and invisible operations to database provisioning and lifecycle management (LCM).

    Download

  • Why You Should Embrace Database-as-a-Service For Your Enterprise Cloud

    Imagine if copying a database were as easy as the copy and paste operations on your computer? Many organizations are moving to a database as a service (DBaaS) model for managing and operating their databases because the DBaaS model is efficient, agile, cost-effective and scalable. Join us to learn how Nutanix Era automates and simplifies database management, bringing one-click simplicity and invisible operations to database provisioning and lifecycle management (LCM).

    Download

  • Introducing Database as a Service For Your Enterprise Cloud

    Imagine if copying a database were as easy as the copy and paste operations on your computer? Many organizations are moving to a database as a service (DBaaS) model for managing and operating their databases because the DBaaS model is efficient, agile, cost-effective and scalable. Join us to learn how Nutanix Era automates and simplifies database management, bringing one-click simplicity and invisible operations to database provisioning and lifecycle management (LCM).

    Download

  • Implement RAG Architectures for Enhanced Information Retrieval

    Retrieval augmented generation (RAG) is a technique for improving the accuracy of large language models (LLM) by combining information retrieval from proprietary data sources with text generation. This session explores how to implement the RAG architecture, a powerful framework for the RAG technique that integrates the strengths of open LLMs—such as Llama 3—and vector databases to improve contextual relevance and accuracy of information retrieval. This session shows how to: Use open source models and tools to create a robust retrieval system that can efficiently process and generate natural language responses. Set up a vector database to efficiently store and retrieve embeddings. Integrate RAG systems into existing infrastructure, including the hardware and software requirements for deploying these advanced models. Apply best practices for fine-tuning and customizing RAG models and vector databases for specific industry use cases through demos of practical applications. Skill level: Intermediate

    Download

  • A New View: Cloud as an Operating Model for Your Databases

    Tobias Ternstrom, VP & GM for Database Solutions at Nutanix, discusses market demands, database deployment environments, and reasons why you should view cloud as an operating model for databases.

    Download

  • A New View: Cloud as an Operating Model for Your Databases

    Tobias Ternstrom, VP & GM for Database Solutions at Nutanix, discusses market demands, database deployment environments, and reasons why you should view cloud as an operating model for databases.

    Download

  • Jargon buster guide to database management

    This Jargon Buster e-guide to contemporary database management is an aid to stepping back and thinking afresh about an area of enterprise IT that has many decades of heritage. Or, as many sometimes (arguably rudely) put it, legacy.

    Download

  • Data integration to support modern BI and advanced analytics programmes

    In this e-guide we discuss why data integration and preparation are the unsung heroes of modern BI and advanced analytics. More so than ever, it would seem, due to the ever-increasing volume and variety of data.

    Download

  • Future-proof AI applications with OpenSearch as a vector database

    Give your generative AI models a broader and deeper pool of data with the right vector database

    Download

  • Future-proof AI applications with OpenSearch as a vector database

    Give your generative AI models a broader and deeper pool of data with the right vector database.

    Download

  • Building a Consistent Hybrid Cloud Semantic Model In Denodo

    “Theoretically, business leaders know it’s important to have strategies in place to align stakeholders, decision making and activities with future organizational goals, but many still struggle when it comes to actually crafting those strategies. However, organizations with developed strategies are in a better position to obtain business value — especially when it comes to cloud computing.” Gartner Cloud Stategy Cookbook Many businesses are moving to the Cloud but still have lots of data On-Prem. How can they span both environments yet combine their data efficiently and quickly to get the answers they need? Join this session to get a deep dive look at how to create a Hybrid Cloud Architecture that solves this problem while providing a consistent Semantic Data Model where every your users get their data from, On-Prem or the Cloud. Attend this webinar to learn: * How to create a Semantic Data Model in Dendo * How to use Denodo Interfaces to abstract data access for the Semantic Model * How to create a shared Virtual Database that exposes a consistent Semantic Model using Denodo’s Interfaces regardless of users entering from On-Prem or The Cloud.

    Download

  • New wave BI and analytics: turning modern data stores to account

    This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.

    Download

  • Data governance 101: Creating a framework

    In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies.

    Download

  • A New Era: Transform Your Oracle Databases Across Private & Hybrid Clouds

    Imagine managing your Oracle environment with a secure and unified database operating model while delivering simplicity, performance, and availability, across private and public clouds. Nutanix eliminates database management complexity by up to 90%. Learn how to keep your business running with near-zero downtime and still reduce DBA off-hour workload. See how Nutanix can save you time and transform you into a business enabler with Nutanix solutions for Oracle databases.

    Download

  • A New Era: Transform Your Oracle Databases Across Private & Hybrid Clouds

    Imagine managing your Oracle environment with a secure and unified database operating model while delivering simplicity, performance, and availability, across private and public clouds. Nutanix eliminates database management complexity by up to 90%. Learn how to keep your business running with near-zero downtime and still reduce DBA off-hour workload. See how Nutanix can save you time and transform you into a business enabler with Nutanix solutions for Oracle databases.

    Download

  • Why HCI Is a Good Bet for Your Database Workloads

    Databases are critical components of enterprise environments, and many IT professionals believe they can only run effectively on storage area networks (SANs). But following advances in hyperconverged infrastructure (HCI) and the changes wrought by pervasive digital transformation, some companies are turning to HCI to support their databases both on-premises and in the cloud. This webinar will cover the latest technology available to run database workloads in the right environment that meets the needs of the business. Attendees will learn: • Why more customers are turning to hyperconvergence platforms for database deployment. • The benefits of running databases on Nutanix Hyperconverged Cloud Platform in a hybrid multi-cloud operating model. • Which database management issues the Nutanix Cloud Platform can help to solve.

    Download

  • Why HCI Is a Good Bet for Your Database Workloads

    Databases are critical components of enterprise environments, and many IT professionals believe they can only run effectively on storage area networks (SANs). But following advances in hyperconverged infrastructure (HCI) and the changes wrought by pervasive digital transformation, some companies are turning to HCI to support their databases both on-premises and in the cloud. This webinar will cover the latest technology available to run database workloads in the right environment that meets the needs of the business. Attendees will learn: • Why more customers are turning to hyperconvergence platforms for database deployment. • The benefits of running databases on Nutanix Hyperconverged Cloud Platform in a hybrid multi-cloud operating model. • Which database management issues the Nutanix Cloud Platform can help to solve.

    Download

  • Computer Weekly – 23 July 2024: Serving up a GenAI experience at Wimbledon

    In this week's Computer Weekly, we go behind the scenes at Wimbledon to find out how technology is improving the tennis experience for fans. We talk to Meta's AI research chief about the challenges and opportunities of large language models. And we find out why cloud databases are becoming increasingly popular. Read the issue now.

    Download

  • Find the Balance Between MPP Databases and Spark for Analytical Processing

    Both Apache Spark and massively parallel processing (MPP) databases are designed for the demands of analytical workloads. Each has strengths related to the full data science workflow, from consolidating data from many siloes, to deploying and managing machine learning models. Understanding the power of each technology, and the cost and performance trade-offs between them can help you optimize your analytics architecture to get the best of both. Learn when using Spark accelerates data processing, and when it spreads far beyond what you want to maintain. Learn when an MPP database can provide blazing fast analytics, and when it can fail to meet your needs. Most of all, learn how these two powerful technologies can combine to create a perfect balance of power, cost, and performance.

    Download

  • Navigating Transactions: ACID Complexity in Modern Databases

    This session explores the evolution of transactions, implementation challenges, and insights into distributed database environments. Whether you're a database enthusiast or a tech enthusiast, this presentation offers valuable insights into the world of database management, and will include: • Historical perspective of transactions • Implementing transactions • Challenges and trade-offs in ACID properties • Distributed transactions in modern databases like Amazon Aurora, DynamoDB, and Google Spanner Key Takeaways: Understanding the evolution of transactions in databases Insights into the challenges of implementing ACID properties and exploration of distributed transaction models in leading database systems About the Speaker: Shiv Jha of Nutanix is a seasoned professional with expertise in databases, streams, and application architecture. With a passion for open-source software and community engagement, Shiv brings a wealth of knowledge and experience to the table.

    Download

  • Deloitte Global CIO Survey 2018 – UK Edition

    Fewer than 10% of CIOs identified themselves and their companies as being advanced in the journey to incorporate technology into their digital business strategies, Deloitte's 2018 CIO survey reveals in the UK edition of its 2018 global CIO survey, Manifesting Legacy: Looking Beyond the Digtal Era.

    Download

  • Preparing for Database as a Service (DBaaS): Considerations to Make it a Success

    This webinar will walk through the main factors that you need to consider when adopting a Database as a Service (DBaaS) solution for your databases. The checklist includes: Your cloud goals, application development model, workload requirements, resiliency requirements, data usage architecture, and future plans for innovation. This webinar is Part 1 in a series of webinars on DBaaS. Other topics covered in this series include exploring your DBaaS provider options for databases like Microsoft SQL Server and Oracle, calculating the Total Cost of Ownership (TCO) of DBaaS with Silk, and more.

    Download

  • AI: He Who Has the Data, Wins

    Artificial Intelligence (AI) needs data to produce output and learn. And where does this data live? In your relational databases! In this webinar, Kellyn Gorman, Director of Technical Advocacy at Silk, will talk about the realities and practicalities of getting started with AI: operationalizing your data, security considerations in public vs. private AI, and of course, performance for high IO workloads. Attendees will learn about: - Where data is stored today - The benefits of relational databases in enabling data standards, access control, and advanced AI and ML features - The rise of security and the differences between public and private AI models - Building your own private AI models - The role of Silk in enabling responsible and high performing AI

    Download

  • Building & Analysing the World's Largest Beach Cleanup Database

    Knowing that 97% of the floating plastic entering the oceans ends-up onshore, various organizations are focusing on beach areas to conduct cleanup activities. Dataikers and The Ocean Cleanup modelers have collaborated to collect data from over 15 organizations and build the world’s largest beach cleanup database. Analysis of this unique beach cleanup database represents a major opportunity to better understand how plastic ends up on beaches, leading to an improvement of different plastic cleaning strategies.

    Download

  • Redis Real-Time Data in Action from ChatGPT to Hello World!

    Join Redis Principal Solution Architect, Anton Umnikov, for a discussion on generative artificial intelligence, large language models, and databases. Anton will discuss how large language models have taken the world by storm. There will be specific emphasis on real use cases. While there’s a ton of hype, there’s also an explosion of real potential. Thanks to emerging first-party capabilities such as vector storage and search, Redis fundamentally changes how organizations leverage natural language processing, LLMs, GenAI models, and real-time machine learning workloads.

    Download

  • A Computer Weekly buyer's guide to graph databases

    In this 14-page buyer's guide, Computer Weekly looks at the technology that teases out connections between divergent datasets – and how it is revolutionising data analysis.

    Download

  • 15 Machine Learning Use Cases to Solve Everyday Business Problems

    When most people think about machine learning, they assume it’s a complex form of AI beyond their reach, requiring hours of coding and complex algorithms to create functional models. But with modern analytics solutions like Alteryx, anyone can create and automate ML models in minutes. Read on to discover 15 use cases for immediate business impact.

    Download

  • Building & Analysing the World's Largest Beach Cleanup Database

    Knowing that 97% of the floating plastic entering the oceans ends-up onshore, various organizations are focusing on beach areas to conduct cleanup activities. Dataikers and The Ocean Cleanup modelers have collaborated to collect data from over 15 organizations and build the world’s largest beach cleanup database.

    Download

  • Build new and exciting gen AI apps with Google Cloud databases

    Unlock the potential of generative AI in your applications with Google Cloud's robust database solutions. Discover how AlloyDB, Cloud SQL, Spanner, and more offer built-in integrations with vectors, models, and data. Explore the benefits of fast and powerful vector search, seamless integration with Vertex AI and popular open source tools like LangChain, and direct access to Gemini and other cutting-edge AI models. We'll dive into a real-world generative AI application to understand how it leverages operational data to deliver accurate and relevant responses

    Download

  • A Mathematical Model puts people in charge of the network

    Learn how a mathematical model of the network allows operations engineers to visualize device topology, state, and configuration, verify network behavior, validate security compliance, search the network like a database and predict how configuration changes will impact behavior. Forward Networks delivers a digital twin of the network that puts people back in control.

    Download

  • Don’t Let Latency Slow Down Your AI Model Training

    According to experts, data infrastructure is the most significant hurdle to AI model training success, with high latency being one of the most important problems. Latency can slow down response times, making the system less effective, especially for Retrieval-Augmented Generation (RAG) vectors, streaming, and other databases. Selecting the right data platform is crucial to keeping your AI models running at full speed. Join Lightbits and Supermicro and learn how to keep your AI models humming at full speed with a data platform that delivers the lowest latencies, highest performance, and scalability, all while lowering your infrastructure costs. - Common infrastructure pitfalls to avoid that introduce latency. - The impact of low latency and high performance on GPU utilization and model performance. - Practical tips for lowering costs, improving infrastructure efficiency, and hardware utilization. - The role of block storage to handle the growing demands of vector databases in LLMs and chatbots. Presenters: Sagy Volkov, Distinguished Performance Architect, Lightbits Labs Wendell Wenjen, Director of Storage Market Development, Supermicro Sherry Lin, Storage Solution Product Manager, Supermicro Janet Lafleur, Director of Product Marketing, Lightbits Labs Learn how Lightbits' high-performance, scalable block storage and Supermicro's powerful computing solutions can transform your infrastructure to optimize your AI workflows.

    Download

  • The Dark Side of Cloud-Based Database Engines

    Cloud migration has revolutionized the way we work with databases, But the cloud provider’s changes to popular database engines have created new attack vectors. Our presentation will explore the evolving database attack landscape in the cloud, showcasing a case study of a critical CloudSQL (GCP) vulnerability we recently found and advanced lateral movement and PE techniques.

    Download

  • Taking stock of database technologies

    Database technologies have evolved over decades, from relational databases to NoSQL databases that make it easier to store & handle data in the cloud. In this e-guide, how organisations are addressing database management challenges & how Alibaba is using cloud-native databases to reduce downtime in its annual Singles' Day sales.

    Download

  • How to build a machine learning model in 7 steps

    Organizations are implementing AI projects for numerous applications in a wide range of industries. But building a viable, reliable and agile machine learning model takes patience, preparation and perseverance. In this e-guide, we take a look into the main steps for building an efficient machine learning model.

    Download

  • Data classification tools: What they do and who makes them

    Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. In this article, learn more about how these tools can help keep your data tidy and which suppliers offer the best options in the market.

    Download

  • Unleashing the Power of SQL Server

    Imagine simplifying and automating the time-consuming activity of SQL Server management with automated provisioning or patching, where one-click simplicity allows you to clone/copy SQL server databases that are TBs in size in just a few minutes. Leveraging snapshot technology, Era captures all database states for any given service-level agreement (SLA) and allows DBAs to not only create fully functional database clones but also refresh existing ones using one-click operations. Nutanix Era is revolutionizing the database experience for lifecycle operations with provisioning, patching, and managing databases from day 0 to day n. Attend this session to learn how to deliver and take advantage of database as a service (DBaaS).

    Download

  • Get your Weekend back with One-Click Simplicity

    Imagine getting time back to enjoy your weekends instead of toiling away at tedious manual database operations by simplifying and automating the time-consuming activity of provisioning, backing up, and patching databases. One-click simplicity allows you to clone/copy databases that are TBs in size in just a few minutes. Leveraging a Time Machine technology, Era captures all database states for any given service-level agreement (SLA) and allows DBAs to not only create fully functional database copies but also refresh existing copies using one-click operations. Nutanix Era is revolutionizing the experience of provisioning, patching, and managing databases from day 0 to day n operations. Attend to learn how to deliver and take advantage of database as a service (DBaaS) with Nutanix.

    Download

  • 3 steps to meet today's data challenges

    This resource lays out the 3 steps to transform your organization in order to meet today's data challenges. Learn how to awaken your data, discover hidden value, and deploy your data-driven insights into processes or products.

    Download

  • Unleashing the Power of SQL Server

    Imagine simplifying and automating the time-consuming activity of SQL Server management with automated provisioning or patching, where one-click simplicity allows you to clone/copy SQL server databases that are TBs in size in just a few minutes. Leveraging snapshot technology, Nutanix Era captures all database states for any given service-level agreement (SLA) and allows DBAs to not only create fully functional database clones but also refresh existing ones using one-click operations. Nutanix Era is revolutionizing the database experience for lifecycle operations with provisioning, patching, and managing databases from day 0 to day n. Attend this session to learn how to deliver and take advantage of database as a service (DBaaS).

    Download

  • Infographic: NoSQL Databases

    NoSQL databases are geared toward managing large sets of varied and frequently updated data, often in distributed systems or the cloud. They avoid the rigid schemas associated with relational databases. But the architectures themselves vary and are separated into four primary classifications, although types are blending over time.

    Download

  • Ready to get started with generative AI? How to build the foundation

    Explore the considerations for building a foundation for generative AI, including development toolsets, model tuning, serving, lifecycle management, monitoring, and partner ecosystems. Learn how to innovate rapidly with a flexible, open platform. Read the eBook to get started.

    Download

  • Get Beyond Compliance and Achieve Real Database Security

    To keep pace with the database activity explosion that has accompanied recent rapid technology innovations, you must rethink your strategy for securing data assets. Meeting compliance requirements is not enough. You must develop new approaches that enable complete visibility into your entire data estate to achieve real data security today and in the future. In this webinar, cybersecurity expert and Imperva fellow Terry Ray will explain: - How today’s technology trends and market forces are driving organizations to build strategies that actually secure every database under management - Why engaging tactics just to monitor databases and ensure compliance is not real database security - How today’s database landscape is more complex and why traditional approaches are not effective in securing your data estate - Why creating a strategic mindset about database security enables you to gain the visibility necessary to monitor and secure data in a way that meets immediate needs and future-proofs your database security posture

    Download

  • Accelerate Innovation with Tanzu GemFire Vector Database

    In the rapidly evolving landscape of data management, speed and efficiency are key to customer satisfaction. Join us as we dive into the world of Tanzu GemFire Vector Database (VectorDB), an extension that combines the renowned in-memory performance of GemFire with the advanced capabilities of VectorDB technology. Our experts will guide you through the core principles of in-memory computing and how GemFire VectorDB enhances these with its unique features. Session Highlights: - In-Depth Understanding of GemFire and its VectorDB interface - Learn how GemFire VectorDB scales for large datasets while ensuring data integrity and reliability - Explore scenarios where GemFire VectorDB can be effectively utilized to solve complex data challenges - A Demo of GemFire VectorDB in action where we utilize a Large Language Model (LLM) to provide an image search capability This session is designed for database professionals, system architects, and technology enthusiasts eager to explore the cutting-edge of database solutions. Whether you're looking to enhance your current systems or explore new database solutions, this session will provide valuable insights and practical knowledge to tackle the common VectorDB use cases: - Natural language processing - Computer vision - Recommendation systems

    Download

  • CW APAC, February 2021: Buyer’s guide to data management

    In this handbook, focused on data management in the Asia-Pacific region, Computer Weekly looks at best practices, Alibaba’s use of databases, the role of artificial intelligence in handling information and data trends to look out for

    Download

  • Guide to Retrieval Augmented Generation (RAG) for Practitioners

    Discover how Retrieval Augmented Generation (RAG) can enhance large language models by providing relevant external information to improve accuracy and reduce hallucinations. Learn the key components and use cases of RAG with vector search. Read the full e-book to learn more.

    Download

  • CW Nordics August 2016

    The Nordic countries are renowned for being home to thriving tech startup scenes so it is hardly surprising that IT is a disruptive force in the region.

    Download

  • Using PostgreSQL to power your AI applications

    What can PostgreSQL do for AI application? PostgreSQL is capable of efficiently storing and retrieving large amounts of data, such as training data for your models. Its wide support of the SQL standard, including SQL/MED, makes inspecting and querying that data a breeze. Moreover, PostgreSQL comes with similarity search capabilities, providing convenient index structures (GIST, GIN...) and built-in extensions (fuzzystrmatch, pg_trgm...). Yet, there is more to PostgreSQL's ecosystem than the database server. There are more than 1000 extensions for PostgreSQL, many of which can be useful for AI developers and users, for example pgvector and PostgresML. The Role of PostgreSQL in MLOps MLOps projects such as Kubeflow rely on relational databases for storing different artefacts, and choosing which relational database to use for MLOps is a common dilemma. We approached a similar topic in our recent webinar “PostgreSQL vs MySQL”, where we explored how, despite looking similar on the surface, the two databases are actually very different. The significant structural differences between databases can have a tremendous influence on the performance of any ML project, so understanding the possible impact is critical for both the enterprises who use these platforms and the engineers who develop them. So how do we use PostgreSQL for machine learning? Join the live discussion to learn more about using PostgreSQL for AI projects. The webinar will cover: - An overview of the PostgreSQL ecosystem for AI projects - Benefits of PostgreSQL for AI projects - Use cases where PostgreSQL should be used for AI projects

    Download