
Striim Platform 4.1: Another big step forward
We are pleased to announce the release of Striim Platform 4.1, the latest version of Striim’s flagship real-time streaming and data integration platform. Our releases
A unified platform for data integration and streaming that modernizes and integrates industry specific services across millions of customers.
Including:
We are pleased to announce the release of Striim Platform 4.1, the latest version of Striim’s flagship real-time streaming and data integration platform. Our releases
Data pipelines help to bring together data from various sources, allowing for quicker analysis and business insights. Furthermore, data pipelines give data analysts and business
Apache Kafka has proven itself as a fast, scalable, fault-tolerant messaging system, chosen by many leading organizations as the standard for moving data around in
Batch-based data integration is for 🥱 yesterday’s news Batch-based data integration entails storing all data in a single batch and moving it at scheduled periods,
Introducing Striim Cloud on Google Cloud: a fully managed and unified cloud solution offering real time data streaming and integration Insights-driven organizations grow an average
More than a decade ago, Microsoft launched Project Florence. This was a research wing created to resolve issues developers faced while building large-scale applications within
According to IDC, by 2025 nearly 30% of data generated will be real time. Storing data and waiting minutes, days, or hours will no longer
According to CGOC, 60% of data that’s collected today has lost some or all of its business value. Trends change rapidly; if an organization uses
Industries across the globe produce a staggering amount of data, and it continues to multiply at an exponential rate. This big data often comes in
According to a McKinsey Global Institute study, data-driven businesses are 23 times more likely to acquire new customers, nine times more likely to keep customers,
According to a Splunk study, 81% of business and IT decision-makers believe data is “extremely” or “very” crucial to their company’s success. Despite this, they
According to a Gartner prediction, only 20% of data analytics projects will deliver business outcomes. Indeed, given that the current data architectures are not well
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