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1 guide. 9 alternatives. Everything you need to choose your next data management platform.

🔥 We built shared storage for #ClickHouse® MergeTree: Meet CAS! 🔥 Content-Addressed Storage (CAS), experimental in Antalya 26.6, adds shared object storage to the existing MergeTree model so storage can scale independently from compute, without replacing #MergeTree with a new engine. The interesting part is how it works: each MergeTree part file is stored by its content hash. If another part contains the same file, #CAS can reference the existing object instead of storing another copy. We break down the architecture, how CAS handles #deduplication, and where it fits today as the implementation continues to mature: https://hubs.la/Q04y7dDG0

One data team expects to absorb growth. The other isn't sure it can. See what separates the two.

Das Dashboard war grün. Die Kunden waren sauer. Ich habe Berichte gesehen, die technisch einwandfrei waren. Die Daten waren korrekt. Die Berechnungen auch. Trotzdem wusste niemand, welche Entscheidung daraus folgen sollte. Erst als wir Kontext und Handlungsempfehlungen ergänzten, wurde aus der Auswertung eine Entscheidungsgrundlage. Ein Beispiel aus dem Kundenservice macht das greifbar. Die durchschnittliche Bearbeitungszeit sinkt. Das Management freut sich über mehr Effizienz. Kürzere Gespräche, mehr erledigte Kontakte. Sieht gut aus. Der Bericht zeigt aber nur die halbe Geschichte. Kunden rufen mehrfach an, weil ihr Anliegen beim ersten Kontakt ungelöst bleibt. Jedes Gespräch ist kürzer. Bis zur Lösung dauert es für den Kunden trotzdem länger. Und das Serviceteam bearbeitet dasselbe Problem mehrfach.Die Zahlen stimmen. Die Schlussfolgerung braucht mehr Kontext. Aus meiner Sicht gehören hier drei Kennzahlen zusammen. Die Bearbeitungszeit je Kontakt. Die Wiederholungskontakte zum selben Anliegen. Und die Quote der Anliegen, die beim ersten Kontakt tatsächlich gelöst werden. Auch diese Verbindung braucht klare Regeln. Es muss feststehen, wann ein Anliegen als gelöst gilt. Ebenso braucht es eine Frist für die Zuordnung von Wiederholungskontakten. Und einen Vergleich ähnlicher Anliegen. Einfache Auskünfte und komplizierte Reklamationen in einen Durchschnitt zu werfen, erklärt wenig. Wenn kürzere Gespräche mit mehr Wiederholungskontakten zusammenfallen, lohnt sich der Blick auf die Ursachen. Vielleicht fehlen Wissen oder Befugnisse. Vielleicht endet das Gespräch, bevor der nächste Schritt geklärt ist. Eine brauchbare Handlungsempfehlung könnte dann so aussehen. Die Serviceleitung prüft die häufigsten Gründe für erneute Anrufe. Für einen ausgewählten Anliegenstyp verbessert sie den Ablauf. Anschließend kontrolliert sie, ob mehr Anliegen beim ersten Kontakt gelöst werden und der gesamte Bearbeitungsaufwand sinkt. Das ist für mich die Aufgabe eines guten Berichts. Er zeigt den Zusammenhang. Er macht die nächste Entscheidung greifbar. Und er benennt, wer handelt und woran die Wirkung geprüft wird. Daten ohne Kontext sind wie eine Karte ohne Legende. Präzise gezeichnet. Zur Orientierung fehlt trotzdem etwas. Wenn du einen solchen Bericht hast, schreib mir. Wir schauen gemeinsam, welcher Zusammenhang für die nächste Entscheidung fehlt.

DS3 Composer is the all-in-one, flexible, software-defined S3 solution that lets you win against: 1. Low-cost cloud storage 2. Hyperscalers 3. Hyper-resilient solution

📊 🇳🇱 New deployment in the Netherlands Dutch cloud infrastructure provider Worldstream - Solid IT. No Surprises. will integrate DS3 Composer, Cubbit’s software-defined object storage, across its three data centres in the Netherlands. This will allow Worldstream to launch its own S3-compatible cloud storage service, fully hosted and operated on its infrastructure — including its own bare-metal solutions and high-performance network. For service providers, this kind of deployment makes it possible to offer storage services that are: • sovereign by design • cost-competitive vs. hyperscalers • easy to implement, with full control over data Worldstream is launching the service with an initial capacity of 1 PB, with further expansion planned in the coming years. This shows how service providers can create fully sovereign, premium cloud storage services that are cost competitive — directly leveraging their own infrastructure. A concrete step toward stronger sovereign cloud infrastructure in Europe. #distributedcloud #cubbit #ds3 #composer

You deliver the work, but did every unit get billed at the right price, to the right customer? With data² reView™, your contracts, delivery records, billing runs and invoices are checked automatically. See what was delivered but never invoiced, incorrect prices and misbilled customers, so you can recover missed revenue and cut billing disputes.

Your board wants evidence, not just approvals, on capital spend. With data² reView™, each change order is checked against contract terms, schedules and site records while the project is still live. One deepwater program surfaced $98.09M in exposure across $258.9M of vendor spend,giving you the leverage to challenge overbilling before cash goes out.

What changed on that database before things went wrong, and who changed it? Troubleshooting should start with facts. DB24 records changes to logins, roles, databases and objects as they happen, with who and what, and keeps the history. Checked on your own servers, not in a slide deck.

Factory data rarely comes from one system, one technology stack, or one generation of equipment. So how do you build an architecture that can connect it at scale? Unified Namespace (UNS) offers a viable approach. Przemysław Warecki, Head of IoT & Realtime Integrations at C&F, brought hands-on experience from a Big Pharma manufacturing project into research exploring how this architecture can support scalable factory data integration. The resulting paper has been published in the Journal of Pharmaceutical Innovation by Springer Nature.

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🚨 Big News: The Official DataForSEO Plugin for ChatGPT is LIVE! 🚀 You can now connect live SERP data, Keyword Volume, and AI Visibility metrics directly to your ChatGPT account. Turn your ChatGPT into a custom, full-fledged SEO powerhouse without paying for expensive monthly subscriptions. Get started with pay-as-you-go pricing today! 👇 🖇 The Official DataForSEO Plugin for Сhat GPT and Codex

Your data governance foundation already exists. Extend it to every model, agent and AI action you deploy.

Building AI isn't the hard part anymore. Governing it at enterprise scale is. See how to make it work across a single trusted foundation.

Venture-backed, Series A or earlier? Dash0 is 50% off in year one, and 90% if your investor is a Dash0 partner. ✅ Access to the full platform and every AI feature ✅ Live in an afternoon, no platform engineer needed ✅ Built on OpenTelemetry Join the program that supports your growth and explore effortless observability. The discount applies to year-one list price.

If your AI is stuck in the past, it can’t tell you what you need to know right now. Discover a better way to build AI with real-time data.

Venture-backed, Series A or earlier? Dash0 is 50% off in year one, and 90% if your investor is a Dash0 partner. ✅ The full platform and every AI feature ✅ Live in an afternoon, no platform engineer needed ✅ Built on OpenTelemetry Full platform and every AI feature. The discount applies to year-one list price.

Every war room starts the same way: app, security, and cloud teams pointing at the network. Proving otherwise can take days. cPacket AI applies expert troubleshooting to turn packet data into defensible evidence that everyone can agree upon. • Pinpoint root cause in minutes instead of days • Replace conflicting dashboards with deterministic proof • End finger-pointing with one shared source of truth Bring evidence to the next war room.

When every application issue escalates, your most experienced engineers lose their nights to problems L1 could have handled. cPacket AI gives service owners and L1 teams evidence-based answers for common application issues, so they can: • Triage routine issues without escalation • Keep senior engineers on the problems that need them • Stop war rooms before they start Fewer escalations. Faster answers.

XR analytics can tell you what happened during a session. But can you tell who was in the headset? With Cognitive3D Identify, organizations can connect XR sessions to verified participants, making it easier to understand individual activity and performance across training, research, and enterprise XR programs. Identify is designed around the realities of XR authentication. Participants can authenticate through familiar enterprise workflows, then connect their identity to the headset using methods such as QR codes, PINs, and other XR-friendly options. For developers, the Cognitive3D Unity SDK also includes an Identify sample to help teams integrate identification workflows directly into their XR experiences. In our latest blog, we break down how Identify works, the different ways participants can be identified, and how it can connect with existing enterprise and learning workflows. Read the blog to learn more: https://lnkd.in/g-dm_vz2

More than half of consumers are comfortable allowing an AI agent to apply for a loan on their behalf, so how can businesses prepare for agentic lending? Find out in our latest research: https://lnkd.in/gwaAEuCw

If your storage bill is climbing faster than your revenue, the problem is not compute. It's every analytics query pulling data out of your storage tier and getting billed for it. Dashboard refreshes, pipeline runs, model training passes. Every read against S3 becomes a cost that adds to the storage bill. $0 egress changes the math. Query the same dataset ten times or ten thousand times and the storage bill stays flat. Drop in a month of your current egress spend and see where the money actually goes.

Your GPUs are portable. Your storage isn't. Multi-vendor GPU stacks have a silent single-vendor dependency: the storage layer. If the compute moves and the data can't follow, the strategy stops at the data. Akave Cloud is S3-compatible and verifiable sovereign storage, so your data stays portable across environments with $0 egress fees. Drop in your current egress bill and see what Zero egress bill looks like against it.

🤖 One AI assistant for everyone was a safe start. Now 2027 budgets are on the table, and scaling AI analytics means answering for what it costs. In this GoodData.AI Product Journey session, see four live demos: analytics agents for different teams and customers, AI usage and LLM providers managed in one place, and AI-built reports ready to send. Join us live on Oct. 21. Can't make it? Register and we'll send the recording.