We’re proud to announce two new analyst reviews recognizing Databricks within the information engineering and information streaming area:
- IDC MarketScape: Worldwide Analytic Stream Processing Software program, 2024 (Chief)
- Forrester Wave™: Cloud Information Pipelines, This autumn 2023 (Chief)
You may obtain the IDC report right here, and the Forrester report right here.
Information engineering on the Databricks Information Intelligence Platform permits information practitioners to construct clever batch and streaming information pipelines on a unified and ruled platform. With Databricks, Information Engineers and their stakeholders can simply ingest, rework, and orchestrate the best information, on the proper time, at any scale. Constructed-in information intelligence accelerates pipeline improvement by automated administration and optimization, semantic cataloging and discovery, and pure language entry – concurrently enabling real-time GenAI and analytics use circumstances that drive the enterprise ahead.
With information engineering and information streaming essentially intertwined, we’re proud to announce these reviews in a joint announcement, detailed beneath.
IDC MarketScape: Worldwide Analytic Stream Processing Software program, 2024
The pace of enterprise has elevated, as organizations want to reply to and make choices based mostly on what is going on now – not what occurred yesterday, final week, or final month.
Streaming information options are current in all main geographies all over the world, throughout all main industries, and their relevance is rising exponentially within the Age of AI. In reality, per IDC, 12 of the highest 15 AI use circumstances throughout banking, manufacturing, retail, authorities, and utilities require real-time information.
That is why it is vital to pick a knowledge platform that may deal with core streaming workloads like streaming information pipelines, real-time AI, real-time analytics, and real-time purposes. High issues for these platforms embrace throughput and latency necessities, use of open supply, kinds of event-broker applied sciences supported, programming environments, and privateness/governance necessities.
The Databricks Information Intelligence Platform is the most effective information streaming platform for real-time (or right-time) use circumstances and past. Constructed on serverless structure and Spark Structured Streaming (the preferred open-source streaming engine on the earth), Databricks empowers customers with pipelining instruments like Delta Dwell Tables to energy real-time outcomes.
IDC gave their perspective on the information streaming area with this newest analysis of probably the most important suppliers within the area. Among the many platforms evaluated, Databricks obtained the best rating for each present capabilities and future technique. Databricks scored significantly properly with excessive marks within the following classes:
- Unified expertise for streaming and batch workloads
- Developer expertise
- Complete governance with Unity Catalog
- Technical innovation
- Companion ecosystem
You may obtain the complete report without cost right here.
Forrester Wave™: Cloud Information Pipelines, This autumn 2023
Organizations need easy, built-in, cost-effective, and extremely automated options to help fashionable enterprise insights. Cloud information pipelines (CDPs) assist enterprises construct analytics shortly, automate ingestion and information processing workflows, leverage new information sources, and help new enterprise necessities.
Enterprises want a knowledge pipeline answer that delivers efficiency at scale; makes information engineers, information scientists, information analysts, and builders extra productive; helps complicated use circumstances; and leverages new generative AI (genAI) capabilities to automate deployments.
That is why it is vital to pick a platform for engineering information pipelines that may:
- Ship efficiency on the pace of enterprise
- Democratize pipeline improvement to help a number of personas
- Orchestrate information pipelines
- Leverage GenAI to automate and speed up improvement and deployment
For streaming and batch workloads alike, the Databricks Information Intelligence Platform is the most effective place to construct information pipelines for all of your AI and analytics initiatives. Platform capabilities akin to Delta Dwell Tables and Databricks Workflows, Databricks’ native information orchestration device, let information engineers and different practitioners have full management to outline and handle production-ready information pipelines. Solely Databricks permits reliable information from dependable information pipelines, optimized value/efficiency, and democratized pipeline improvement on a unified, totally managed platform that understands your information and what you are promoting.
See why Databricks was named a Chief in The Forrester Wave™: Cloud Information Pipelines, This autumn 2023, together with the highest attainable scores for Imaginative and prescient, Roadmap, and Companion Ecosystem.
You may learn this report without cost, together with Forrester’s tackle main distributors’ present providing(s), technique, and market presence, right here.
Be taught extra
As information groups embrace generative AI and information intelligence, they might want to embrace new fashions of collaboration as properly. At present’s information engineers have to be savvy in regards to the information science realm, and vice versa. Accordingly, we have put collectively a information on connecting information engineering with information science within the period of AI. You may obtain it right here.
And eventually, we simply wrapped up Information + AI Summit 2024! Classes from the Information Engineering and Streaming observe can be found on-demand, together with a number of important bulletins about the way forward for ingestion, transformation, streaming, and orchestration on Databricks. For a glance into the way forward for information pipelines at Databricks, learn our Databricks LakeFlow announcement right here.
