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Keep customer data on local soil at 50%+ below hyperscaler pricing. Exaba is sovereign storage built specifically for service providers, so you own your infrastructure, your margins, and your clients' trust.

FlashGrid Cluster is available in the new AWS European Sovereign Cloud, enabling customers to deploy mission-critical Oracle databases, including Oracle RAC, in a fully EU-governed environment. To learn more, visit: https://lnkd.in/dJe7XCcW #HighAvailability #OracleDatabase #AWSArchitecture #AWSInfrastructure #AWSPartner

The current set of Oracle MAA blueprints is lacking the Multi-AZ clustering architecture. This is not surprising. The concept of Availability Zones did not exist in the traditional on-premises architectures, while Oracle Cloud (and by extension the Oracle Database @ AWS/Azure/Google Cloud offerings) do not have the capability for Multi-AZ clustering. On the other hand, competing solutions, such as Amazon Aurora, leverage Multi-AZ database clustering to its fullest (even though they lack the unique active-active clustering capabilities that Oracle RAC boasts). In this article we compare the Multi-AZ clustering architecture to other architectures and will discuss its unique benefits specifically for Oracle databases on AWS, Azure, and Google Clouds. #oracledatabase #oraclemaa #oraclerac #oraclecloud #aws #azure #googlecloud

Boomi isn't your only option, and it may not be your best one. We compared the top alternatives so you can see for yourself.

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

Only 16K of 175K US software companies carry a traditional software label. Most others are classified by the industries they serve—making them much harder to find. ISVWorld helps you uncover this hidden software market and build a more complete prospect list. Build your ISV target list →

A short tech/business overview of what you can do with Inphinity Planning in Qlik (both, On premise and Cloud). Created to solve real planning challenges, it uses Qlik dimensions and measures respecting section access and other #Qlik rules. And there is much more.. Got a use case there? #analytics Inphinity ∞

Built-in separation of storage and compute is a key feature of every modern analytic database...Except for open source ClickHouse®. We are changing this today. I'm delighted to announce that Altinity, Inc. Antalya 26.6 builds now offer experimental Content-Addressable Storage (CAS) for MergeTree tables. With a simple configuration change, users can place MergeTree data on shared object storage. The door is open to even faster and more cost-efficient insight on large data sets. There's no lock-in: CAS is 100% open source. Our CTO Alexander Zaitsev has written a blog about the innovative design behind CAS and how to enable it yourself. https://lnkd.in/eaMUz3is. Altinity customers are already lining up to try it. CAS is still experimental. It passes our internal tests--which are extensive. What we need now is feedback on real world systems. We invite you to install Antalya and give us feedback. Our plan is to release a GA version of CAS by the end of 2026. It will join a host of Antalya features like OAuth/OIDC integration, swarm servers, plus high-performance export to and query from Iceberg data lakes. We're building the open source foundation for the fastest, most cost-efficient analytics on the planet. Help us get there. Try out CAS today! #opensource #realtime #analytics #antalya #clickhouse

🔥 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

AI is the most hyped technology of my 30+ year career, but I think it's significantly under-hyped when it comes to how drastically it'll transform the way businesses run. Most companies are still just using AI as an assistant that helps them write messages, summarize meetings, build a chart, etc. The bigger impact comes when AI starts making business decisions. I have gotten a lot of pushback when i've said this before, and it usually sounds like "judgment should remain with humans." But AI is faster and its memory is greater than the sum of an entire team's. And with the right system, AI can make even complex decisions, while humans focus on the ones that need them (and system design.) I'm seeing this happen in startups & smaller tech firms now. A startup building on AI from day one doesn't carry the baggage of how things have always been done. But, in nearly every market, I think someone will eventually get to 10x the output at 1/2 the headcount, if they haven't already. Therefore, every company is going to need to think this way in order to compete against new entrants in their space. Getting there takes two things: 1️⃣ Process. Companies need processes people actually follow, documentation that explains them, software that facilitates (or runs) them. Processes make a business measurable. 2️⃣ Full history. A record of everything that happens, from sales calls to meeting transcripts, to competitive research, to project plans to marketing, sales, operational, financial, etc data. This makes a business visible to AI and the team. With these two things in place, agentic analytics can do analysis and make (or suggest) better decisions, faster and far more frequently than humans. With agentic analytics, companies can be more agile, making decisions that used to take a quarter or a year within a week or a month. To help companies get here, I've developed an assessment. I've run it a few times now. Here's what I've seen so far: Nearly every company starts out fragmented, with numbers spread across systems that define them differently and someone assembling (or inspecting) them by hand every time. From there, the curve to an autonomous business has 4 stages: 1️⃣ Aggregated (visibility): All performance data & business context pulled into one place. 2️⃣ Governed (measurability): One source of truth, agreed definitions, and a target for every function. 3️⃣ Predictable (foresight): The business knows which activities produced which results, and can model what a change would do. 4️⃣ Autonomous (autonomy): Systems analyze and suggest work or act on their own. If you're curious where you stand, the assessment is free. It takes an hour, and you leave with a written report built at the end of the call. If you are one of the first few that respond to this, I'll be running the assessment. https://lnkd.in/guuB5uuk

„Agentic Sales ist spannend. Wir beobachten das erst einmal.“ Der Satz fiel im letzten Strategiemeeting. Das ist nachvollziehbar. Niemand möchte mit einem schlecht gewählten KI-Projekt Zeit und Budget verbrennen. Beim nächsten Meeting fällt derselbe Satz wieder. Ein Verantwortlicher fehlt weiterhin. Ein konkreter Versuch auch. Währenddessen bleibt der Vertrieb nicht stehen. Nur die Arbeit bleibt liegen. Nachfassaktionen versanden. Kundensignale aus CRM, E-Mails und Gesprächen werden nicht genutzt. Die Vorbereitung auf den nächsten Termin beginnt wieder bei null. Das Problem daran: Diese Verluste tauchen selten als eigene Position im Bericht auf. Niemand schreibt in eine Zeile, wie viele Chancen durch späte Reaktionen oder lückenhafte Vorbereitung verloren gingen. Ein Pilotbudget dagegen fällt sofort auf. So entsteht eine merkwürdige Sicherheit. Das sichtbare Budget wird vermieden. Die unsichtbaren Kosten laufen weiter. Die unbequeme Zuspitzung: Wer jeden Versuch verschiebt, verschiebt auch die Erkenntnis, was im eigenen Vertrieb funktioniert. Der bessere Weg beginnt nicht mit einem großen Programm. Wähle einen eng begrenzten Prozess. Zum Beispiel das Nachfassen nach einem Angebot, wenn innerhalb von drei Tagen keine Reaktion kommt. Erfasse vorher die Ausgangswerte: Zahl der Nachfassaktionen, Reaktionszeit des Teams und daraus entstehende Gespräche. Dann starte einen überschaubaren Versuch. Ein Agent bereitet die nächste Aktion vor. Der Mensch prüft und entscheidet. Erfolgskriterien, Laufzeit und Abbruchregeln stehen vorher fest. So wird aus Beobachtung eine belastbare Entscheidung. Vielleicht funktioniert der Ansatz. Vielleicht muss er angepasst werden. Beides ist wertvoll, weil es die eigene Realität abbildet und nicht die Folie eines Anbieters. Ein überschaubarer Einstieg liefert eigene Erfahrungen. Genau die fehlen im nächsten Strategiemeeting sonst wieder. Wenn du in einem zehnminütigen Video live sehen willst, wie Agentic Sales zum Turbo im Vertrieb wird, schreib mir eine private note mit „NICHT MEHR WARTEN“. Ich sende dir den Videolink.

11 Excel-Dateien, fünf Verantwortliche, eine Wahrheit. Die Wahrheit war nirgendwo. Bei einem Kunden lief die operative Steuerung über elf Excel-Dateien. Jede beteiligte Abteilung pflegte ihre eigene Version. Fünf Menschen trugen Verantwortung, doch niemand konnte verbindlich sagen, welcher Stand galt. Die Dateien waren nicht zwingend falsch. Sie beantworteten nur jeweils einen Ausschnitt. Das Problem entstand an den Übergängen: unterschiedliche Definitionen, unterschiedliche Aktualisierungszeitpunkte, unterschiedliche Annahmen. Elf sauber gepflegte Ausschnitte ergeben noch kein gemeinsames Bild. Wir haben die Daten in eine zentrale Struktur überführt. Technisch war das lösbar. Die eigentliche Arbeit begann danach. Wer pflegt welche Kennzahl? Bis wann? Wer prüft Abweichungen? Wer entscheidet, wenn zwei Bereiche unterschiedliche Werte melden? Und welcher Stand gilt ab Montagmorgen? Die fünf wichtigsten Learnings: 1. Eine gemeinsame Datenbasis braucht eine gemeinsame Definition. Sonst werden nur elf Widersprüche an einem Ort gesammelt. 2. Jede Kennzahl braucht eine fachlich verantwortliche Person. Nicht jeder ein bisschen. Eine Person muss verbindlich zuständig sein. 3. Aktualität muss geregelt sein. Ein Wert ohne Stichtag ist keine Steuerungsinformation. 4. Abweichungen brauchen einen Eskalationsweg. Sonst gewinnt im Meeting die Datei mit der überzeugendsten Formatierung. 5. Entscheidungen brauchen einen klaren Prozess. Daten zeigen etwas. Handeln muss danach jemand. Excel war nicht der Bösewicht. Für einzelne Aufgaben ist es schnell, flexibel und völlig ausreichend. Kritisch wird es, wenn aus vielen lokalen Werkzeugen unbemerkt ein gemeinsames Steuerungssystem werden soll. Eine zentrale Plattform allein löst das ebenso wenig. Ohne Rollen, Definitionen und Entscheidungsregeln entsteht aus elf Dateien nur ein sehr ordentlich zentralisierter Streit. Wenn du prüfen willst, ob deine operative Steuerung auf einer gemeinsamen Wahrheit beruht, schreib mir. In einem kurzen Steuerungs-Check klären wir Datenquellen, Verantwortungen und Entscheidungswege.

Z nostalgie si ho sem tam pustíte. Ano bylo by to na mobilu jednodušší, ale když máte čas a náladu tak proč ne. Co ale v kanceláři? Tam si ho do sluchátek nezapojíte. Nebo třeba v autě? Tam je rádio výrazně praktičtější volba. Někdy je prostě třeba upgradeovat a ve světě technologií bylo včera pozdě.

AI does not remove the need to organize data around its context. It increases it. Without a trusted foundation, an institution will simply miss risks and make wrong decisions faster.

Poštovní holub byl kdysi nejrychlejší způsob doručení. Spolehlivý, prověřený, nikdo si nestěžoval. Dneska by ho nikdo nepoužil. Přesto většina firem má aspoň jeden proces, který je přesně takový holub. Funguje. Jen strašně pomalu. Který je to u vás?

We have been doing a lot of work in the background on our platform 🐄 🛠️ Watch this page for more info coming your way soon...

Are your existing address records ready for ISO 20022? We can structure them into the hybrid format and return ready to import into your systems.

🛡️ Cubbit and GigaCloud are bringing 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻, 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗰𝗹𝗼𝘂𝗱 𝘀𝘁𝗼𝗿𝗮𝗴𝗲 to Ukraine and Poland. GigaCloud (Ukraine's leading cloud provider and the first NVIDIA Solutions Advisor in the country, serving 1,500+ companies and 20M users) will deploy DS3 Composer across its 𝗳𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗰𝗲𝗻𝘁𝗿𝗲𝘀 in Kyiv, Lviv, and Warsaw, spanning three availability zones. This isn't a theoretical resilience story. 𝗔𝗿𝗺𝗲𝗱 𝗰𝗼𝗻𝗳𝗹𝗶𝗰𝘁 𝗵𝗮𝘀 𝗽𝗿𝗼𝘃𝗲𝗻 𝘁𝗵𝗮𝘁 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗳𝗮𝗰𝗶𝗹𝗶𝘁𝘆 𝗰𝗮𝗻 𝗯𝗲 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱 𝘀𝗮𝗳𝗲: attacks on critical infrastructure can take data centres offline, and "always available" has to mean something real. Cubbit's technology encrypts, fragments, and geo-distributes data across multiple sites, so no single facility failure takes critical systems down. Organisations choose exactly where their data lives: Ukraine only, Poland only, or both, staying compliant with GDPR while keeping full control. Each customer gets full tenant isolation, with a dedicated S3-compatible endpoint covering access rights, projects, configurations, metrics, and billing, plus multiple service tiers active at once through a single interface. Use cases span immutable backup, disaster recovery, long-term archiving, and unstructured data at scale. GigaCloud is bringing this to government, defence, financial services, media, retail, and IT - sectors where predictable RTO and RPO aren't nice-to-haves, they're operational requirements. Unstable conditions redefine what reliable infrastructure means. Sovereignty is not a separate goal from resilience, it's what makes resilience possible. 👇 Full press release in the first comment.

Our Address Capture API returns every address in the ISO 20022 hybrid format. See how it works and book a free data assessment.

Win more customers and earn higher margins with DS3 Composer: software-defined S3 Object storage for the Al era. Deliver flexible SLA/pricing tiers from a single intuitive console, with full sovereign control and low IT overhead.

Why wait for recovery audits to tell you where money leaked out? With data² reView™, you check every charge as it comes in—field service invoices, capital change orders, shared costs and billing runs. One midstream operator uncovered $8M in incorrect and unbilled invoices in a month. You could be surfacing hidden exposure in the first weeks.

Your team approves thousands of field service invoices a month and checks a sample. The rest gets paid at month-end. That's how an invoice like this one gets through. Three-way match never sees the field ticket or the rate in force on the work date. reView™ checks every charge, not a sample, against the records you already have. No data migration. No new ERP or consolidation.

And just like that, our August 2026 data is LIVE! 📊 Make sure to head over to our website to explore the latest movements across the global container shipping market! 🌍 Discover how the Panama Canal drought could be influencing cargo flows, assess the ongoing disruption caused by the Gulf Crisis, and see how Sub-Saharan Africa continues to stand out as one of the strongest-performing regions, despite the challenges facing global trade. And don't forget, our NEW CTS Trade Newsletters are now available with data up to August 2026! 📈 Going beyond the headline figures, our Trade Newsletters combine the latest container volumes, price indices and expert market commentary to help you understand not just WHAT is happening in the market, but WHY it matters to YOUR business. Cut through the noise and focus on the trade lanes that matter most to you. 🔎Explore the latest data and our CTS Trade Newsletters using the link in the comments! #ContainerShippingData #DataReleaseDay #Import #Export #CMACGM #Cosco #Emirates #Evergreen #GoldStar #HapagLloyd #HMM #Maersk #Messina #MSC #ONE #OOCL #PIL #SCI #Sinolines #Swire #WEC #YangMing #ZIM

We have been doing a lot of work in the background on our platform 🐄 🛠️ Watch this page for more info coming your way soon...