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Neo4j 4.0 targets scalability, security, and performance
Leading native graph database adds long-awaited horizontal sharding, granular security, and reactive processing
Interested in machine learning? Better learn PyTorch
Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science
Deep learning vs. machine learning: Understand the differences
Both machine learning and deep learning discover patterns in data, but involve dramatically different techniques
Artificial intelligence predictions for 2020
Machine learning applications, tools, techniques, platforms, and standards will see big changes in the next year
How to choose the right database for your application
From performance to programmability, the right database makes all the difference. Here are 12 key questions to guide your selection
Rockset review: Real-time SQL for operational data
One-of-a-kind database for operational analytics analyzes gigabytes to terabytes of recent, real-time, and streaming data in milliseconds
MongoDB vs. MySQL: How to choose
MongoDB and MySQL are the leading open source NoSQL and relational databases, respectively. Which is best for your application?
Review: Elasticsearch 7 soars with SQL, search optimizations
Across-the-board upgrade beefs up query capabilities, boosts cluster performance, and simplifies cluster configuration
Is Java the next COBOL?
60 years later, billions of lines of COBOL live on. Could Java, SQL, or Python last as long?
Deep learning frameworks: PyTorch vs. TensorFlow
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
10 Splunk alternatives for log analysis
Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around
The best graph databases
These stellar databases combine horizontal scalability with highly efficient engines for storing and analyzing connected data
The best distributed NoSQL databases
Highly flexible and hugely scalable, NoSQL databases offer a range of data models and consistency options to suit your application
5 machine learning tools to ease software development
AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
10 new tricks your old database can do
You might be surprised by the powerful “NoSQL” features lurking in your old Oracle, SQL Server, MySQL, or PostgreSQL database
Hadoop runs out of gas
As big data customers flee complexity and embrace the cloud, Hadoop vendors are sputtering
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