Full ACID Support Means ‘Game Over’ for Relational, MongoDB Says

Full ACID Support Means ‘Game Over’ for Relational, MongoDB Says

MongoDB today revealed that it’s now supporting multi-document ACID transaction guarantees with version 4.0 of its database. When it becomes generally available later this year, MongoDB says it will have eliminated the last hurdle preventing enterprises from moving off relational databases. Read more…

Real-Time Data: The Importance of Immediacy in Today’s Digital Economy

Real-Time Data: The Importance of Immediacy in Today’s Digital Economy

Today, we’re creating more data than the word has ever seen before. In fact, 90 percent of the world’s data has been created in the past two years. Read more…

Scylla Eyes Cassandra’s NoSQL Workloads

Scylla Eyes Cassandra’s NoSQL Workloads

If imitation is the sincerest form of flattery, then the folks behind the Apache Cassandra project would probably be pleased with Scylla, a C++-based rewrite of Cassandra that’s starting to make waves. Read more…

Which Programming Language Is Best for Big Data?

Which Programming Language Is Best for Big Data?

Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers’ Read more…

Datanami Headlines

Microsoft, Anaconda Expand Python Partnership

Microsoft and Python data science platform vendor Anaconda have extended their partnership by adding the software giant’s code editor to the latest Anaconda distribution.

The addition of Microsoft’s Visual Studio Code (VS Code) expands its support for the latest release of the Python data science platform, Anaconda 5.1. Read more…

Actian’s Data Update Scheme Earns U.S. Patent

A big data technology designed to enable real-time updates to analytic databases has earned a U.S. patent. The approach was developed by Dutch computer scientists, and the technology was eventually acquired by Actian Corp.

Patent No. Read more…

Time-Series Leader InfluxData Raises More Cash

Reflecting growing demand for time-series databases used to track everything from sensor data to application performance, InfluxData has completed a $35 million funding round led by Sapphire Ventures along with new investors Harmony Partners and three existing investors. Read more…

SigOpt Within In-Q-Tel’s Parameters

It’s no secret that America’s spies are collecting massive amounts of data. And now that In-Q-Tel, the venture capital arm of the nation’s intelligence agencies, has taken a stake in hyperparameter optimization startup SigOpt, they’ll have one more tool for building accurate machine learning models based on that data. Read more…

Arm ML Processors Eye Object Detection

Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection capability.

Arm, which is focusing heavily on Internet of Things (IoT) processors, said this week its Project Trillium would bring machine learning and neural networking functionality to edge devices via a suite of scalable processors. Read more…

Snowflake Taps Qubole for Deep Machine Learning in the Cloud

Organizations storing big data in Snowflake’s cloud data warehouse can now run machine learning and deep learning algorithms against that data thanks to a new partnership with Qubole.

The two companies today announced a partnership that will allow Qubole’s big data processing engines, including Apache Spark and TensorFlow, to read and write data to Snowflake’s data warehouse. Read more…

AI Development Gets a Blockchain Boost

Among the approaches to ramping up AI innovation is applying blockchain technology as a new kind of marketplace to help open-source developers find AI building blocks that can be quickly implemented. In turn, the digital ledger technology can be used to compensate code jockeys who built the components. Read more…

Hortonworks Breaks Even on Cash Flow

Hortonworks broke even on a cash-flow basis during the fourth quarter of 2017, a significant milestone for the big data platform developer, which posted total quarterly revenues of $75.0 million, a 44% increase from a year ago. Read more…

Big Data in E-Commerce: Investments With the Highest Return

Before you landed here, you might have already read many articles on big data that sounded more like panegyrics. Our aim is not to sing big data’s praises, but to take an unbiased look at its possible use cases in e-commerce. Read more…

Who (or What) Do You Trust? Data Survey Asks

The combination of high-profile data breaches and the rise of machines involved in decision-making is undermining trust in big data and the analytics behind business decisions, warns a new study of the “evolving nature of trust in the digital world.” Read more…

One Containerized View of Data Science’s Future

Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda’s SVP of Products and Marketing Mathew Lodge for insights on the matter. Read more…

How Erasure Coding Changes Hadoop Storage Economics

The introduction of erasure coding with Hadoop 3.0 will allow users to cram up to 50% more data into the same cluster. That’s great news for users who are struggling to store all their data. Read more…

Big Data Driving Hyperscale Datacenter Surge

The inexorable growth of enterprise applications running in the cloud is expected to nearly double the number of hyperscale datacenters over the next four years, an expansion driven in part by data analytics and surging collaboration among data consumers. Read more…