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Databricks is thrilled to showcase two prestigious analyst recognitions within the realm of knowledge engineering and knowledge streaming.
- Worldwide Analytic Stream Processing Software Program IDC MarketScape, 2024: Competitive Analysis and Recommendations
- The Forrester Wave™: Cloud-Based Knowledge Pipelines – Autumn 2023 Assessment
You can obtain the IDC report and the Forrester report.
Knowledge engineers empowered by Databricks are able to craft sophisticated batch and streaming data pipelines within a single, governed environment. With Databricks, Knowledge Engineers and their stakeholders can effortlessly ingest, transform, and execute the relevant knowledge, exactly when needed, at any scale. Built-in AI intelligence speeds up pipeline enhancement through automated management and optimization, semantic categorization and discovery, and natural language input – simultaneously empowering real-time generative AI and analytics usage scenarios that propel businesses forward?
As two entities seamlessly integrated, we are delighted to jointly unveil these shared experiences, further elaborated below.
IDC MarketScape: Worldwide Analytic Stream Processing Software, 2024
In today’s fast-paced business environment, enterprises are increasingly driven by the need to respond swiftly to current developments, rather than relying on outdated information from yesterday, last week, or last month.
Streaming knowledge options prevail across diverse global landscapes, penetrating various sectors with unrelenting momentum. According to IDC, 12 of the top 15 AI application scenarios across banking, manufacturing, retail, government, and utilities demand real-time data?
It’s crucial to select an information platform capable of handling mission-critical streaming workloads such as processing knowledge pipelines in real-time, enabling AI-driven insights, generating instant analytics, and supporting timely applications? Key considerations for these platforms centre on meeting throughput and latency requirements, leveraging open-source options, embracing event-driven technologies such as brokers, utilizing suitable programming environments, and prioritizing privacy and governance standards.
The Databricks Knowledge Intelligence Platform is particularly well-suited for both real-time and retrospective use cases. Built on a serverless architecture and leveraging Spark Structured Streaming, the world’s most popular open-source streaming engine, Databricks enables customers to harness pipelining tools that power real-time insights.
The Internet Data Center (IDC) has shared its insights into the information streaming landscape by analyzing the most crucial providers in this space. Among the numerous platforms assessed, Databricks stood out for its exceptional performance in several key areas.
- Streamlined Expertise for Seamless Execution of Streaming and Batch Workloads
- Developer expertise
- Complete governance with Unity Catalog
- Technical innovation
- Accomplice ecosystem
You are free to access the full report without incurring any expenses.
The Forrester Wave: Cloud Knowledge Pipelines – Autumn 2023 Assessment
Organisations require straightforward, integrated, affordable, and highly automated solutions to facilitate cutting-edge business intelligence seamlessly. Cloud-based knowledge pipelines empower organisations to swiftly build analytics capabilities, streamline the ingestion and processing of data workflows, unlock new information sources, and address emerging business needs effectively.
Companies seek a streamlined information pipeline solution that amplifies productivity for knowledge engineers, scientists, analysts, and builders at scale, tackles complex use cases, and harnesses the power of generative AI to seamlessly deploy intelligent applications.
It is crucial to select a platform for engineering knowledge pipelines that can effectively facilitate the sharing and dissemination of information. By leveraging this type of technology, organizations can streamline their processes and enhance collaboration among team members.
- As the shipping industry continues to evolve at a breakneck pace, enterprises are scrambling to stay ahead of the curve.
- Democratize pipeline innovation to empower diverse personas.
- Orchestrate knowledge pipelines
- To streamline and accelerate the refinement and release process.
The Databricks Knowledge Intelligence Platform is the optimal destination for building comprehensive knowledge pipelines that support both real-time streaming and batch workloads across all AI and analytics projects. Platform capabilities echoing those of Delta Lake tables and Databricks’ proprietary knowledge orchestration tools empower knowledge engineers and practitioners with comprehensive control to design and manage production-ready data pipelines seamlessly. By exclusively empowering Databricks, organizations can rely on trustworthy insights from refined data pipelines, achieving optimal cost-efficiency and fostering collaborative innovation through seamless, fully-managed platforms that intuitively grasp both their data and business needs.
Databricks has been recognized as a Leader in The Forrester Wave: Cloud Knowledge Pipelines for this autumn 2023, earning the highest scores possible for Vision, Strategy, and Partner Ecosystem.
This report is available for free, along with Forrester’s analysis of the primary vendors’ current offerings, strategy, and market presence.
Study extra
As knowledge groups leverage generative AI and knowledge intelligence, they may need to adopt innovative forms of collaboration as well? Today’s knowledge engineers must demonstrate a keen understanding of both the knowledge science domain and its converse.
Consolidating our efforts, we have compiled a comprehensive overview of integrating knowledge engineering with knowledge science in the context of Artificial Intelligence. You may obtain it .
And what a wrap-up it was – our inaugural Knowledge + AI Summit 2024 has come to a close. Periodic updates from Databricks can be accessed on-demand, accompanied by numerous essential bulletins outlining the future of consumption, transformation, streaming, and orchestration on the platform. Discover the future of knowledge pipelines at Databricks by exploring our recent Databricks LakeFlow announcement.
