Timescale, the cloud database company, announced the launch of Timescale Vector, enabling developers to build production AI applications at scale with PostgreSQL. With Timescale Vector, which sits atop Timescale’s production-grade cloud PostgreSQL platform, developers can now leverage a single platform for managing relational data, vector embeddings, time-series data, analytics and event data that powers their next-generation AI applications. Developers can now bring AI products to market faster, more reliably and efficiently than with traditional vector databases.
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Timescale Vector Launches to Enable Developers to Build Production AI Applications at Scale With PostgreSQL
Kinetica Launches Native Large Language Model for Language-to-SQL on Enterprise Data
Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language. Unlike with public LLMs, no external API call is required and data never leaves the customer’s environment.
Kinetica Now Free Forever in Cloud Hosted Version; Accelerate the Transition to Generative AI with SQL-GPT
Kinetica, the database for time & space, announced a totally free version of Kinetica Cloud where anyone can sign-up instantly without a credit card to experience Kinetica’s generative AI capabilities to analyze real-time data. No other analytic database offers this pricing model with free storage and compute, and no expiration date.
The Right Way to Get Started with PostgreSQL
In this contributed article, Igor Levshin, Director of Content of Postgres Professional, suggests that as with all database systems, anyone just starting to learn about PostgreSQL can benefit from a clear, incremental approach to developing a strong skillset. This article outlines such an approach, which is also developed in far more detail – including step- by-step instructions and code samples – in “Postgres. The First Experience,” a free, downloadable book by Pavel Luzanov, Egor Rogov, and Igor Levshin.
Instaclustr Including PostgreSQL in Managed Data Platform – Now in Public Preview
Instaclustr, delivering reliability at scale through its fully managed platform for open source data technologies, announced the addition of PostgreSQL to its Managed Platform, now available in public preview for Instaclustr customers. Managed PostgreSQL offers complete database management and optimization, along with comprehensive support and monitoring backed by Instaclustr’s team of PostgreSQL experts.
Oracle to PostgreSQL? 6 Reasons to Make Your Open Source Migration
[SPONSORED CONTENT] In this sponsored post, Kirk Roybal, PostgreSQL Database Reliability Engineer at Instaclustr, outlines how Postgres offers some especially enticing advantages for enterprises looking to trim (if not downright slash) costs without impacting database performance. Here’s a half-dozen reasons enterprises should consider the fully open source version of Postgres as a more-than-capable Oracle replacement.
Accelerated Integration of Eventador with Cloudera – SQL Stream Builder
Within 5 months after the acquisition of Eventador, Cloudera announced that SQL Stream Builder is now being re-launched as Cloudera SQL Stream Builder. This is being done after it was fully integrated with Cloudera Data Platform’s (CDP) Shared Data Experience (SDX). This means that SQL Stream Builder can take advantage of the same unified security and governance as the rest of the platform does, using SDX.
Understanding NoSQL Databases: Document Stores
In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, discusses document-oriented databases (also called: aggregate databases, document databases or document stores) and how they place each record, and its associative data, inside single documents. This database type is a subset of the NoSQL umbrella, which refers to the growing list of popular database management systems that use ‘non-relational’ models — i.e. databases that don’t rely on Structured Query Language, SQL.
NoSQL vs SQL: Key Differences
In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, indicates that NoSQL and SQL databases greatly differ on many points. One is not better than the other, but just like any technology, eventually, developers will have their preferences. Luckily, there are numerous options for database selection for both SQL and NoSQL databases.
Do NoSQL Databases Need Schemas?
In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, observes that NoSQL was developed to counteract SQL, being both horizontally expandable, and not even needing to use a schema at all.t? Traditionally, SQL databases tend to be very costly, from their vertical-only expansion to a large amount of design required to be done on the schema before the database is even made.