It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

“Customers who have invested in both MapR and Teradata solutions have requested integration, so now is the right time to expand our partnership. As customers continue to build out analytic ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of ...

It’s rare in the world of software to see a single architecture dominate as comprehensively as the relational database model. The relational database (RDBMS)—actually a hybrid of Codd’s relational ...

Stackable positions itself as a sovereign alternative to cloud-native data platforms such as Databricks, Snowflake, and AWS.