# Q4 Published articles for Q4. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What's New in Q4'26 Confluent Data Streaming Platform: The Most Complete, Performant, and Open Foundation for Streamhouse DevFeed: [What's New in Q4'26 Confluent Data Streaming Platform: The Most Complete, Performant, and Open Foundation for Streamhouse]() Original publisher: [Read original article]() Author: Jason Lauritzen Published: 2026-11-04T15:55:22Z Content type: release Language: en Sources: [Confluent: Data in motion]() Topics: [Confluent Cloud](), [Apache Kafka](), [streaming data analytics](), [Confluent Platform](), [AI Integration Strategies](), [AI Infrastructure](), [Apache Iceberg](), [Google Cloud Platform (GCP)](), [deltalake](), [private cloud](), [BigQuery](), [AI Chat]() Tags: [cloud](), [complete](), [confluent](), [confluent-cloud](), [confluent-platform](), [cpc](), [data](), [data-streaming](), [foundation](), [google](), [google-cloud](), [inference](), [lightning](), [managed](), [open](), [performant](), [platform](), [q4](), [streaming](), [what-s-new]() ### AI overview Confluent's Q4'26 updates position its Data Streaming Platform as a Streamhouse foundation that connects live Kafka data to applications, AI agents and analytics. Lightning Tables, generally available on AWS, provide read-only SQL and API access to continuously updated tables, with stated freshness within hundreds of milliseconds and query latency of 10-100 ms at 1,000+ queries per second. Managed Model Inference is generally available for supported models in Amazon Bedrock, Vertex AI and Azure OpenAI, callable from Flink SQL without configuring credentials or serving infrastructure. Other updates include Tableflow support for Google Cloud and BigQuery with BigLake Metastore synchronization; isolated logical Kafka clusters on shared Confluent Private Cloud infrastructure; and Schema Registry checks intended to catch incompatible changes across Kafka, Flink and lakehouse consumers. The excerpt also describes Cloud disaster recovery and topic-based migration, private-cloud monitoring and security controls, and WarpStream improvements. Availability varies: some features are generally available, while others are early access or open preview; the source cautions that product direction,. ### Source excerpt Learn about Lightning Tables, Managed Model Inference, multi-tenancy for CPC, Tableflow for Google Cloud, and other Confluent Cloud, Confluent Platform, and WarpStream updates. ## Dynatrace recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026 DevFeed: [Dynatrace recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026]() Original publisher: [Read original article]() Author: Bob Wambach Published: 2026-11-04T15:52:03Z Content type: article Language: en Sources: [Dynatrace news]() Topics: [AIOps](), [dynatrace](), [AI in IT operations](), [observability]() Tags: [2026](), [actions](), [agent](), [ai-governance](), [aiops](), [aiops-platforms](), [business](), [business-context](), [company-and-culture](), [context](), [dynatrace](), [forrester](), [forrester-wave](), [insights](), [intelligence](), [leader](), [operational](), [operational-intelligence](), [q4](), [score](), [teams](), [telemetry](), [topology]() ### AI overview Dynatrace says it was named a Leader in Forrester's Q4 2026 AIOps Platforms Wave, with the highest Current Offering score and the highest possible scores in 16 criteria. The article describes its approach as combining telemetry in Grail with Smartscape's live topology and Dynatrace Intelligence to connect signals, dependencies, and business context for causal analysis and risk forecasting. The reported top scores include predictive risk forecasting, change impact control, causal root cause analysis, explainability, AI governance, and autonomous remediation. The article emphasizes that AIOps should help prevent incidents, while Forrester advises buyers to assess whether platforms can recommend or initiate mitigation before services are affected. It also stresses governed autonomy: define agent permissions, use least agency, and require human oversight for actions according to risk. Forrester's evaluation does not constitute an endorsement or product recommendation. ### Source excerpt Dynatrace was recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026, receiving the highest score in the Current Offering category and the highest possible score in 16 criteria. Operational intelligence connects telemetry with topology, business context, actionable insights, and governed action to help teams decide what to do next. AIOps is moving [...] The post Dynatrace recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026 appeared first on Dynatrace news. ## Snyk Named a Leader in The Forrester Wave™: Agentic Development Security Tools, Q4 2026 DevFeed: [Snyk Named a Leader in The Forrester Wave™: Agentic Development Security Tools, Q4 2026]() Original publisher: [Read original article]() Author: Anthony Larkin Published: 2026-11-04T04:00:00Z Content type: release Language: en Sources: [Snyk]() Topics: [snyk](), [snyk-platform](), [Application Security](), [agentic-coding](), [code security](), [LLM security](), [shadow AI](), [DevSecOps]() Tags: [2026](), [adoption](), [adversarial](), [adversarial-testing](), [agent](), [agent-workflows](), [agentic](), [agentic-ai](), [agentic-ai-adoption](), [agentic-appsec](), [agentic-development](), [ai](), [application-security](), [awareness](), [blog](), [code-security](), [developer](), [development](), [devops](), [devsecops](), [executive](), [forrester](), [interest](), [leader](), [q4](), [sbom](), [score](), [secrets](), [security](), [security-tools](), [snyk](), [snyk-code](), [snyk-platform](), [strategy](), [supply-chain-security](), [tech]() ### AI overview Snyk says it was named a Leader in Forrester's Q4 2026 Agentic Development Security Tools evaluation, with its highest score in Strategy and top scores in specified strategy and current-offering criteria. The article argues that agentic development requires governing agents' tools and actions, securing generated code and AI applications, and testing controls continuously. Snyk describes Evo by Snyk as covering those areas through Agentic AppSec for code, Agentic Development Security for agent workflows, AI-SPM for AI asset discovery and policy enforcement, and Continuous Offensive Security for ongoing adversarial validation. It presents these as parts of one platform, pairing AI reasoning with deterministic verification. The excerpt reflects Snyk's account of its evaluation and product capabilities; it does not provide the full Forrester report or comparative scores for other vendors. ### Source excerpt Snyk is a Leader in The Forrester Wave™: Agentic Development Security Tools, Q4 2026, with the highest score in the strategy category. ## Apple's Q4 results show the enterprise tide turning to local AI DevFeed: [Apple's Q4 results show the enterprise tide turning to local AI]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-11-03T17:53:32Z Content type: article Language: en Sources: [Computerworld]() Topics: [Local AI](), [data centers]() Tags: [ai](), [apple](), [apple-artificial-intelligence-generative-ai-it-operations-it-strategy-mac-macos](), [artificial-intelligence](), [edition-us](), [enterprise](), [generative-ai](), [it-operations](), [it-strategy](), [language-en](), [local](), [local-ai](), [mac](), [macos](), [productivity](), [q4](), [results](), [storytype-opinion]() ### AI overview The excerpt points to growing enterprise interest in local AI inference, driven in part by cloud token costs, security, and data governance concerns. Gap Inc. reportedly runs loss-prevention models on Mac minis to avoid cloud token costs, while Christie's uses Mac Studio for pricing estimates; the article says four Macs can be combined into an on-premises system for complex AI calculations. Apple also offers server-side LLM access without token charges to developers whose apps have under two million downloads, a three-tier plan for Private Cloud Compute, and says it plans to charge heavy users of server-side queries through iCloud+. These offerings span local hardware and cloud services; the excerpt does not establish how widely enterprises are making this shift. ### Source excerpt While delivering record Q4 revenue, Apple's financial results revealed a $33 billion cost associated with memory price inflation, representing the true cost of the growing bubble of AI data center investments. The results also showed something that threatens those same data center investments -- a sea change in how enterprises are approaching AI. Inference costs, security, and data governance concerns may finally be dampening enthusiasm for cloud-based AI services. Enterprises go local Apple revealed several major enterprise clients who are turning to its products as solutions for local inference. The company told us that Gap Inc. is running AI loss-prevention models entirely on Mac minis to eliminate cloud token costs, while world-famous auction house Christie's is using Mac Studio to run local pricing estimate models. Apple's wider enterprise wins matter too. It told analysts and investors that as well as purchasing 25,000 iPads for pilots and mechanics, American Airlines is deploying over 37,000 iPhone 17 devices to flight attendants for in-flight purchases with Tap-to-Pay. In education, it revealed a huge deal with the Department of Education in the Philippines, which will deploy 170,000 MacBook Neos to teachers and staff. All these deployments help the company build up its mindshare, which should translate into future customer success and help it stay relevant in fast-changing times. But it's really Apple's pivot into AI that is tempting business users to make these purchases. The hardware and the economics It's not trivial that the company's M-series and A-series processors are highly performant. It matters that you can patch together four Macs to create a powerful on-premises AI system more than capable of handling even highly complex AI calculations. "From Mac to iPhone to iPad, we are proud that our products are the best platforms in the industry for AI for both first-party and third-party applications, and we're excited about the opportunities that creates, ## Apple's stock drops as new CEO John Ternus delivers his first earnings call DevFeed: [Apple's stock drops as new CEO John Ternus delivers his first earnings call]() Original publisher: [Read original article]() Author: Mike Wheatley Published: 2026-11-02T23:58:33Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [iphone](), [ipad]() Tags: [advertising](), [agents](), [ai](), [ai-boom](), [ai-chatbot](), [ai-features](), [ai-infrastructure](), [apple](), [apple-shares](), [apple-stock](), [apps](), [call](), [ceo](), [company](), [earnings](), [financial-results](), [first](), [fourth-quarter](), [guidance](), [ipad-sales](), [iphone](), [iphone-sales](), [john-ternus](), [mac-sales](), [news](), [q4](), [revenue](), [services-revenue](), [siliconangle](), [stock](), [the-latest](), [tim-cook](), [top-story-4](), [top-story-6]() ### AI overview Apple beat Wall Street's fourth-quarter earnings and revenue forecasts, but its outlook fell short of analyst expectations and its shares dropped nearly 3%. Revenue rose 12% to $114.48 billion; iPhone revenue grew 17% to $57.58 billion, despite price increases. Results varied by segment: Mac sales rose nearly 24% and beat forecasts, while iPad revenue fell more than 10% amid supply constraints and a difficult year-over-year comparison. Services grew less than 10%, its slowest pace since September 2022, and narrowly missed estimates. For the holiday quarter, Apple forecast revenue growth of 7%-10%, below analysts' 11.4% estimate, and gross margin of 45%-46%. The excerpt also describes pressure on new CEO John Ternus to strengthen Apple's AI capabilities and product appeal; he did not disclose plans for AI subscriptions or services, but said hardware could offer upgrade incentives. ### Source excerpt Apple Inc. just delivered its first earnings call since new Chief Executive John Ternus took over the company from Tim Cook on Sept. 1, and the results beat expectations on the top and bottom lines. But the company missed expectations on iPhone sales and offered disappointing guidance going forward, and the stock fell in late [...] The post Apple's stock drops as new CEO John Ternus delivers his first earnings call appeared first on SiliconANGLE. ## 2026 Industry releases and what's coming in Q4 DevFeed: [2026 Industry releases and what's coming in Q4]() Original publisher: [Read original article]() Author: Avery Vernon-Moore Published: 2026-10-30T00:00:00Z Content type: news Language: en Sources: [Unity]() Topics: [releases](), [Robotics Simulation](), [AI Agent](), [Automation](), [soc 2]() Tags: [2026](), [ai](), [ai-workflows](), [automation](), [hmi](), [industry](), [pipeline](), [pro](), [q4](), [releases](), [simulation](), [soc](), [soc-2](), [studio](), [unity]() ### AI overview Unity Industry's 2026 releases expand browser-based 3D creation, team workflows, robotics simulation, and enterprise deployment. Unity Studio became generally available and added live collaboration, annotations, and export to the Unity Editor. Asset Manager can be self-hosted; several creator services received SOC 2 Type 2 certification. Simulation Pro entered early access for robotics testing with ROS-connected tools, while Unity Render Service offers Android apps a shared Unity runtime. Experimental AI Workflows connect users' own agents to Asset Manager, Asset Transformer, and Pipeline Automation to automate CAD preparation and publishing; they can run in Unity Cloud or self-hosted deployments and require existing entitlements. The experimental USD Toolkit round-trips stages between Unity and NVIDIA Isaac Sim with live scene synchronization. Planned Q4 items include agent plugins, folder and collection sharing, and Unity 6.7 LTS; timing and availability may change. ### Source excerpt Explore Unity Industry 2026 product releases, from Unity Studio and Pipeline Automation to Simulation Pro, AI Workflows, SOC 2 Type 2, HMI, and Q4 plans. ## Datadog named a Leader in the Forrester Wave™: AIOps Platforms, Q4 2026 DevFeed: [Datadog named a Leader in the Forrester Wave™: AIOps Platforms, Q4 2026]() Original publisher: [Read original article]() Author: Yanbing Li Published: 2026-10-29T00:00:00Z Content type: release Language: en Sources: [Datadog]() Topics: [AIOps](), [bits ai](), [datadog](), [observability](), [AI in IT operations](), [Production Engineering]() Tags: [2026](), [agent](), [agent-observability](), [agentic](), [agents](), [ai](), [ai-governance](), [ai-observability](), [ai-powered](), [ai-workloads](), [aiops](), [autonomous](), [datadog](), [forrester](), [leader](), [observability](), [operations](), [platforms](), [q4](), [report]() ### AI overview Datadog says its Forrester Wave™: AIOps Platforms, Q4 2026 Leader placement reflects a shift from observability toward agentic operations. Its Bits AI investigates production issues, learns from runbooks and engineer feedback, and can propose fixes, create code and pull requests, and run remediation workflows within customer-defined approval and service guardrails. Datadog says Bits AI exposes its reasoning and evidence; Forrester awarded the highest score possible in Innovation and Roadmap, Zero-Trust Agent (Least-Agency), and ModelOps and AI Governance (Sovereignty). The platform combines telemetry, AI observability, OpenTelemetry ingestion, data pipeline controls, historical analytics, and over 1,000 integrations. Datadog cites Uber Freight's 40-day move from pilot to production, 99.99% uptime, and more than 20 minutes saved per incident with Bits AI reports. These are company-reported capabilities and customer results; Forrester's disclaimer says its ratings are not endorsements. ### Source excerpt Datadog has been named a Leader in this report, reflecting Datadog's commitment to transforming observability into AI-powered, autonomous operations. ## Elastic is a Strong Performer in The Forrester Wave™ for AIOps Platforms, Q4 2026 DevFeed: [Elastic is a Strong Performer in The Forrester Wave™ for AIOps Platforms, Q4 2026]() Original publisher: [Read original article]() Author: Natalie Blake Published: 2026-10-28T00:00:00Z Content type: release Language: en Sources: [Elastic Blog]() Topics: [AIOps](), [AI in IT operations](), [observability](), [Logging]() Tags: [2026](), [agent](), [agents](), [ai](), [ai-agents](), [ai-coworker](), [ai-powered](), [ai-sre](), [ai-stack](), [aiops](), [alerts](), [alignment](), [always-on-ai](), [complete](), [context](), [elastic](), [forrester](), [investigation](), [observability-log-analytics-metrics](), [opentelemetry-log-management](), [platforms](), [q4]() ### AI overview Forrester named Elastic a Strong Performer in its Q4 2026 AIOps Platforms Wave, evaluating 10 providers across 24 criteria; Elastic says it received the highest possible scores in five, including explainability, OpenTelemetry and GitOps alignment, sovereign deployment, and pricing transparency. Elastic describes its nightshift AI SRE as an always-on agent that shows its reasoning, data, alternatives, and supporting evidence for engineers to verify before approving actions. It says cost-efficient storage lets teams retain logs, traces, and metrics together, while compact environmental context helps the agent reason efficiently. The agent carries lessons from earlier incidents into later investigations and aims to surface issues beyond rule-based alerts. Elastic also emphasizes native-form telemetry and OpenTelemetry to support instrumentation changes without rebuilding pipelines or translating schemas. These are Elastic's descriptions; the article notes Forrester does not endorse products or advise selection based on its ratings. ### Source excerpt Elastic is a Strong Performer in The Forrester Wave™: AIOps Platforms, Q4 2026. Elastic's AI is built on complete context, shows its evidence, and learns from every investigation. ## CoreWeave Builds the First Global Backbone Network Purpose-Built for AI DevFeed: [CoreWeave Builds the First Global Backbone Network Purpose-Built for AI]() Original publisher: [Read original article]() Author: CoreWeave Published: 2026-10-27T07:00:01Z Content type: news Language: en Sources: [Coreweave Blog Posts]() Topics: [Cloud Networking](), [network security]() Tags: [2026](), [ai](), [ai-cloud](), [ai-infrastructure](), [ai-native](), [ai-workloads](), [asia-pacific](), [australia](), [availability](), [builds](), [compute](), [content-type](), [coreweave](), [first](), [general-compute](), [global](), [middle-east](), [network](), [one](), [q4](), [traffic]() ### AI overview CoreWeave says its Global AI Network connects 51 active data centers across North America and Europe today, with Middle East and Asia Pacific points of presence scheduled to begin coming online in Q4 2026. The company describes a Petabit-scale backbone designed for AI's sustained, high-volume data transfers, using multiple 400 Gbps connections at every PoP. It says hardware MACsec encrypts traffic at line rate across backbone links, Direct Connect, and data centers, and that redundant paths with automatic failover help maintain connectivity during route or cable disruptions. The backbone links to a non-blocking data center fabric; CoreWeave cites 20% higher Model FLOPs Utilization and 96% goodput for its data center architecture, and says its AI Object Storage LOTA reduces read latency by up to 8x. The excerpt presents these as company claims and does not provide independent validation. ### Source excerpt One global AI network, four continents. CoreWeave is adding PoPs across the Middle East and Asia Pacific in Q4 2026, extending a backbone engineered for AI traffic rather than general compute. ## A Breakdown of the Top Accounts Receivable (AR) Automation Software Companies (Q4 2026) DevFeed: [A Breakdown of the Top Accounts Receivable (AR) Automation Software Companies (Q4 2026)]() Original publisher: [Read original article]() Author: Steve Beyatte Published: 2026-10-27T05:16:35Z Content type: comparison Language: en Sources: [HackerNoon]() Topics: [workflow automation](), [Automation](), [Finance]() Tags: [2026](), [accounting-software](), [accounting-solution](), [accounts-receivable](), [accounts-receivable-automation](), [accounts-receivable-software](), [ar](), [ar-automation-platforms](), [ar-automation-software](), [automation](), [cash-flow](), [good-company](), [invoicing](), [q4](), [software](), [top]() ### AI overview The vendors differ in where they start and how much of invoice-to-cash they automate. Monk starts from existing ERP invoices, combining rules-first cash matching, email and opt-in voice agents, and daily checks across 600+ AP portals; the text reports one-to-three-day typical launches, while noting initial human review. Tabs centers on contracts, billing and revenue recognition, with collections included but implementation averaging two months in G2 reviews. Tesorio covers order-to-cash with collections, cash application and named Coupa/Ariba portal workflows; reviewers cite sync and contact-data issues. Upflow offers collections, cash application and portal aggregation, with agents gated by plan tiers and a 12-month commitment. Invoiced combines payment rails, adaptive reminders and cash matching, while the evidence skews toward small-business reviews and includes payment-sync complaints. Chaser focuses on SME reminders and forecasting; cash application and portal submission are not described. Centime combines AR, AP and cash forecasting but has limited AR-specific review evidence. HighRadius spans broader finance operations and outcome-based pricing, with reviewers reporting long ### Source excerpt Discover the top AR automation software companies for Q4 2026. Compare Monk, Tabs, Tesorio, and more to streamline invoicing and cash flow. ## Varonis' Takeaways from Forrester's 2026 Email, Messaging, and Collaboration Security Solutions Landscape Report DevFeed: [Varonis' Takeaways from Forrester's 2026 Email, Messaging, and Collaboration Security Solutions Landscape Report]() Original publisher: [Read original article]() Author: Meagan Huebner Published: 2026-10-26T19:14:46Z Content type: article Language: en Sources: [Varonis]() Topics: [Security](), [email](), [threat detection](), [ai security]() Tags: [2026](), [ai](), [ai-agents](), [attack-surface](), [channel](), [collaboration](), [collaboration-security](), [collaboration-tools](), [communications-security](), [email](), [email-security](), [forrester](), [messaging](), [october](), [overview](), [published](), [q4](), [report](), [security](), [security-solutions](), [varonis]() ### AI overview The excerpt identifies three shifts in email, messaging, and collaboration security: AI helps attackers tailor phishing while agents may act on communications; social engineering can move across email, chat, files, browsers, and other channels; and malicious intent can hide in legitimate-looking messages and trusted relationships. It argues defenses should verify human or machine senders, assess requests in workflow context, examine message content and link or attachment behavior, and follow interactions across channels. Varonis says Interceptor tests messages in a sandbox before users or agents engage and blocks phishing links across email, collaboration tools, search, ads, and social media. Forrester lists Varonis among 26 notable vendors; the report does not endorse included products. ### Source excerpt Forrester published a new report, The Email, Messaging, And Collaboration Security Solutions Landscape, Q4 2026, on October 23. Varonis Interceptor is among Forrester's overview of 26 notable vendors. ## Micron almost quadruples its revenue thanks to AI's insatiable demand for memory chips DevFeed: [Micron almost quadruples its revenue thanks to AI's insatiable demand for memory chips]() Original publisher: [Read original article]() Author: Mike Wheatley Published: 2026-09-30T23:37:45Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [memory price increases](), [DRAM price increase](), [Artificial Intelligence](), [amazon]() Tags: [ai-boom](), [artificial-intelligence](), [earnings](), [financial-results](), [fourth-quarter](), [guidance](), [high-bandwidth-memory](), [infra](), [infrastructure](), [memory](), [memory-chips](), [memory-crunch](), [micron](), [micron-shares](), [micron-stock](), [micron-technology](), [news](), [pricing](), [q4](), [revenue](), [sanjay-mehrotra](), [the-latest]() ### AI overview Micron reported fiscal fourth-quarter revenue of $54.23 billion, up 379%, as demand for memory chips used in AI infrastructure continued to grow. The company forecast $61.5 billion in first-quarter sales at the midpoint of its range. Strong demand has tightened global memory supply and driven prices higher, including for consumer electronics. ### Source excerpt Memory chipmaker Micron Technology Inc. predictably delivered another blowout quarter in its latest financial results, with no sign of a slowdown in the demand for artificial intelligence infrastructure. The company reported fiscal fourth-quarter earnings before certain costs such as stock compensation of $33.42 per share, coasting past Wall Street's target of $31.61 per share. Revenue [...] The post Micron almost quadruples its revenue thanks to AI's insatiable demand for memory chips appeared first on SiliconANGLE. ## EF-Supported Teams: Research & Development Roundup DevFeed: [EF-Supported Teams: Research & Development Roundup]() Original publisher: [Read original article]() Author: Ethereum Foundation Published: 2021-12-22T00:00:00Z Content type: news Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [software-development]() Tags: [altair](), [beacon](), [community](), [consensus](), [data](), [delivered](), [development](), [ecosystem](), [esp](), [ethereum](), [fork](), [funding](), [network](), [organizational](), [product-roadmap](), [protocol](), [q4](), [research](), [research-development](), [teams](), [upgrades]() ### AI overview The excerpt reports two Ethereum consensus R&D milestones: the Altair beacon-chain hard fork launched October 27, adding sync committees for light clients, revising incentive accounting to reduce spec complexity, and updating penalty parameters. The team also delivered Consensus Layer specifications for Merge interop and testnets, and planned to support Merge delivery in early 2022 while continuing research on data availability, L1 scaling, and post-Merge cleanup. Separately, the ESP team reported $7.794 million in Q2 grants and said a website overhaul was underway to clarify its mission and help eligible builders apply for funding or support. Another team points readers to its Q4 product roadmap. This is an excerpt from a roundup of 15+ EF-supported teams, not a complete account of the article. ### Source excerpt We all have a lot to be thankful for this holiday season, from the first birthday of the beacon chain, to the successful upgrades over the past year and the incredible progress across the entire Ethereum ecosystem. As a highly productive year draws to a close, there are a... ## High Customer Satisfaction Led to Teradata's Leadership Distinction in Q4 Big Data Warehouse Landscape Report by The Information Difference DevFeed: [High Customer Satisfaction Led to Teradata's Leadership Distinction in Q4 Big Data Warehouse Landscape Report by The Information Difference]() Original publisher: [Read original article]() Author: Jennifer Donahue Published: 2020-01-23T08:00:00Z Content type: news Language: en Sources: [Teradata News]() Topics: [Data Management](), [Amazon Redshift]() Tags: [2019](), [article](), [data-warehouse](), [ibm](), [microsoft](), [oracle](), [q4](), [report]() ### AI overview Teradata says it received the highest technology score in The Information Difference's Q4 2019 Big Data Warehouse Landscape report, which evaluated five major vendors across customer satisfaction, technology maturity, revenue, partner ecosystem, and geographic coverage. The article attributes the ranking in part to customer satisfaction and describes Vantage's cloud, hybrid, and multi-cloud deployment options. ### Source excerpt Five major vendors were evaluated in the report, Teradata ranked highest in the technology dimension, compared to IBM, Magnitude, Microsoft and Oracle. ## Engineering Productivity Update, Oct 21, 2015 DevFeed: [Engineering Productivity Update, Oct 21, 2015]() Original publisher: [Read original article]() Author: jagriffin Published: 2015-10-21T17:58:02Z Content type: news Language: en Sources: [Mozilla Automation]() Topics: [Platform Engineering](), [software-development](), [developer-productivity](), [Software Testing](), [Developer experience](), [CI/CD](), [Software Engineering](), [performance-engineering]() Tags: [2015](), [2016](), [2fa](), [automatic](), [backend](), [build-system](), [duo](), [engineering-productivity](), [frontend](), [licensing](), [mozilla](), [optimizations](), [performance](), [performance-testing](), [performant](), [planning](), [q4](), [roadmap](), [strategy](), [vision]() ### AI overview Mozilla's October 2015 update reports early work on a build-system revamp and a staged move of automation from Buildbot to TaskCluster. OSX cross-compiled debug and static-checking builds were running there as Tier-2 jobs; the static-checking build was expected to become official soon, while the debug build awaited test-job support. Linux64 debug tests were being prepared to run alongside Buildbot jobs so failure rates could be compared before migration. TaskCluster's finer test chunking was expected to improve flexibility and end-to-end test times. Other reported work included Bugzilla Duo 2FA awaiting licensing details, improved Treeherder sheriff backfills, Perfherder optimizations, experimental Talos runs on real devices through Autophone, and MozReview access with a Bugzilla account instead of LDAP. Autoland testing was underway on a development instance. ### Source excerpt It's Q4, and at Mozilla that means it's planning season. There's a lot of work happening to define a Vision, Strategy and Roadmap for all of the projects that Engineering Productivity is working on; I'll share progress on that over the next couple of updates. Higlights Build System: Work is starting on a comprehensive revamp [...]