Data has the potential to provide transformative business insights across various industries, yet harnessing that data presents significant challenges. Many businesses struggle with data overload, with vast amounts of data that are siloed and underutilized. How can organizations deal with large and growing volumes of data without sacrificing performance and operational efficiency? Another challenge is extracting insights from complex data. Traditionally, this work has required significant technical expertise, restricting access to specialized data scientists and analysts.  Recent AI break ..read more

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models (LLMs) to specific data sources, we can avoid the risks that come with using nothing but training data. While it is possible to fine-tune an LLM on specific data, that can be expensive and time-consuming, and it can also lock you into a specific time frame. If you want accurate, timely responses, you need to use retrieval-augmented generation (RAG) to work with your data. To read this article in fu ..read more

Starting with Redis 7.4, all future versions of Redis software will be dual-licensed under the Redis Source Available License (RSAL 2) and the Server Side Public License (SSLPv1), Redis announced. The popular NoSQL database will no longer be distributed under the three-clause Berkeley Software Distribution (BSD) license. New source-available licenses will allow Redis the company to provide permissive use of its source code, the company said on March 20. Source code will continue to be freely available to developers, customers, and partners through Redis Community Edition. To read this article ..read more

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and a level of flexibility not found in traditional relational database management systems (RDBMSs). A recent report by Allied Market Research notes the demand for NoSQL databases is on the rise. In 2022, the worldwide NoSQL market generated $7.3 billion in sales, and is estimated to generate $86.3 billion by 2032—a compound annual growth rate of 28 percent for that period. Key factors driv ..read more

Developers of a certain age are used to beginning their application development journey by choosing an operating system. Younger developers, by contrast, might start by picking a cloud. One of the most respected voices in tech suggests a different starting point, one that focuses the attention on arguably the most important component of the application stack: the database. As luminary Kelsey Hightower writes, “Early on I made the mistake of only focusing on operating systems and ignored what I now consider the most important element of computing: data.” To read this article in full, please cli ..read more

Systems management and security software provider Quest Software is shipping Toad Data Studio, a platform for streamlining database management in heterogeneous relational and NoSQL database environments. Announced January 17, Toad Data Studio allows users to manage nearly any database platform in their environment including cloud and on-premises sources and relational, NoSQL, and data warehouse sources, Quest Software said. A free trial is offered. Toad Data Studio features an advanced SQL editor, SQL and DDL generation, and the ability to edit JSON and XML fields directly within table fields ..read more

The initial surge of excitement and apprehension surrounding ChatGPT is waning. The problem is, where does that leave the enterprise? Is this a passing trend that can safely be ignored or a powerful tool that needs to be embraced? And if the latter, what’s the most secure approach to its adoption? ChatGPT, a form of generative AI, represents just a single manifestation of the broader concept of large language models (LLMs). LLMs are an important technology that’s here to stay, but they’re not a plug-and-play solution for your business processes. Achieving benefits from them requires some work ..read more

DataStax on Tuesday said that it was releasing a new JSON API in order to help JavaScript developers leverage its  serverless, NoSQL Astra DB as a vector database for their large language model (LLMs), AI assistant, and real-time generative AI projects. To read this article in full, please click here ..read more

SQL often struggles when it comes to managing massive amounts of time series data, but it’s not because of the language itself. The main culprit is the architecture that SQL typically works in, namely relational databases, which quickly become inefficient because they’re not designed for analytical queries of large volumes of time series data. Traditionally, SQL is used with relational database management systems (RDBMS) that are inherently transactional. They are structured around the concept of maintaining and updating records based on a rigid, predefined schema. For a long time, the most wi ..read more

Aerospike on Tuesday took the covers off its new Graph database that can support both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) workloads. The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said. To read this article in full, please click here ..read more