SurrealDB, the ultimate multi-model database, announced the launch of Surreal Cloud, a Database-as-a-Service (DBaaS) offering. In its first iteration, enterprises now have access to a fully managed solution for developers that want to leverage the power and flexibility of SurrealDB without the complexities of managing infrastructure.
SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
December 7, 2024 by
Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
September 9, 2024 by
Graph database and analytics leader Neo4jⓇ announced a major transformation of its Aura cloud database management system (DBMS) portfolio – making it dramatically easier for enterprises to try, build, and accelerate graph in production for any workload or use case.
Couchbase Capella Advancements Fuel Development of Adaptive Applications; Unlock Greater DBaaS Access for Developers
September 3, 2024 by
Couchbase, Inc. (NASDAQ: BASE), the cloud database platform company, today officially launched CapellaTM Columnar on AWS, which helps organizations streamline the development of adaptive applications by enabling real-time data analysis alongside operational workloads within a single database platform. Also generally available today is Couchbase Mobile with vector search, which makes it possible for customers to offer similarity and hybrid search in their applications on mobile and at the edge.
Why the Modern Data Stack is Broken and How to Fix It
April 15, 2024 by
In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.
Kinetica Delivers Real-Time Vector Similarity Search
March 21, 2024 by
Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.
Navigating Cloud Migration: Choosing right Database for Cloud Migration of Your Data
March 8, 2024 by
In this contributed article, technical leader Kamala Manju Kesavan believes it is essential to periodically reassess your database strategy to ensure that it continues to meet your organization’s evolving requirements. If migrating to another database solution is deemed necessary, approach the process methodically, leveraging best practices and stakeholder collaboration to maximize success and drive business value.
NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024
February 27, 2024 by
Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape, a major new survey from end-to-end Database DevOps provider Redgate.
Post-Postgres: What’s Driving a Great Migration from the Iconic Database
February 12, 2024 by
In this contributed article, Tanya Bragin, product lead at ClickHouse, offers a thesis premised on an industry-wide shift from OLTP databases like Postgres for everything and into OLTP for certain functions and OLAP for others.
Big Data Industry Predictions for 2024
January 18, 2024 by
Welcome to insideAI News’s annual technology predictions round-up! The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideAI News heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.
New Data on LLM Accuracy
December 25, 2023 by
Juan Sequeda, Principal Scientist at data.world, recently published a research paper, “A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model’s Accuracy for Question Answering on Enterprise SQL Databases.” He and his co-authors benchmarked LLM accuracy in answering questions over real business data.
