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influxdata

Query Distinct Tag Values in Under 30ms with the InfluxDB 3 Distinct Value Cache

Oct 27, 2025 By Scott Anderson In InfluxData
The Distinct Value Cache (DVC) available with InfluxDB 3 Core and InfluxDB 3 Enterprise lets you cache distinct values of specific columns and query those values in under 30ms. The DVC is an in-memory cache that stores distinct values of one or more columns in a table. It is typically used to cache distinct tag values, but you can also cache distinct field values.
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Tools for analyzing company cash flows

Tools for analyzing company cash flows

Oct 27, 2025 By OpsMatters In OpsMatters
Successful business management is impossible without a full understanding of how financial flows move within a company. Proper analytics helps identify weak points, forecast expenses, evaluate profitability, and make informed decisions. This is especially important for rapidly growing companies or those operating across multiple jurisdictions simultaneously. This allows companies to better control financial risks and respond promptly to changes..
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influxdata

How to Use the Power BI Desktop InfluxDB 3 ODBC Connector

Oct 24, 2025 By Anais Dotis-Georgiou In InfluxData
The challenge of storing, processing, and alerting on your time series data is only part of the battle when it comes to deriving value from time-stamped data. While InfluxDB 3 addresses those hurdles with the database and Python processing engine, data analytics teams still need to be able to visualize their data and build dashboards to complete the time series story.
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Get Kafka-Nated Episode 9: Live from Current New Orleans

Oct 24, 2025 By Aiven In Aiven
Get Kafka-Nated: Live from Current (New Orleans) Thursday, October 30th, 2025 10:00–11:00 AM CDT Broadcasting Live from the Aiven booth at Current 2025 We’re shaking things up for a special live edition of Get Kafka-Nated! Join host Hugh Evans for a high-energy hour of rapid-fire conversations with experts shaping the future of streaming data. Broadcasting directly from Current 2025 in New Orleans, this episode packs six lightning interviews into one hour, mixing deep technical insights with a few fun surprises along the way.
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Optimizing GPU Efficiency and AI Costs with Pepperdata

Oct 23, 2025 By Pepperdata In Pepperdata
As AI workloads explode, platform owners face an increasingly common challenge: a massive gap between GPU demand and supply. Pending workloads, idle GPUs, and rising costs make it harder than ever to scale AI efficiently. In this video, we explore how Pepperdata.ai helps enterprises regain control of their GPU environments with two breakthrough solutions: Demand Optimization – Get granular visibility into GPU usage across your entire infrastructure. Identify inefficiencies, balance supply and demand, and uncover hidden capacity.
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Aiven

Building Intelligent Search: A Tutorial on Aiven for OpenSearch and Vertex AI

Oct 21, 2025 By Peter Kim In Aiven
Aiven for OpenSearch is a fully-managed service that provides an ideal way to run OpenSearch on Google Cloud. It is designed for companies looking to operate search applications without taking on the burden and complexity of self-managing the infrastructure in the cloud. Running on Google Cloud, the service is built upon core infrastructure like Google Compute Engine, Google Cloud Storage, and Private Service Connect.
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influxdata

Navigating the Database Ecosystem in 2025

Oct 20, 2025 By Charles Mahler In InfluxData
In 2025, the database ecosystem is more diverse and interconnected than ever before. From AI-assisted natural language queries that analyze your data to open table formats that make it easy to bridge systems, data infrastructure is moving towards openness, intelligence, and composability. Modern databases are no longer isolated systems; they are part of a broader ecosystem where interoperability is as important as performance.
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Aiven

Exploring why PostgreSQL made generated columns virtual

Oct 20, 2025 By Jay Miller In Aiven
Generated columns have existed in PostgreSQL since version 12. The idea was to allow people to make calculations based on other columns in the table and store them. It makes your life easier by ensuring data accuracy and preventing unauthorized manual modifications. But why, after 6 versions, is PostgreSQL making generated columns virtual and also making this new way the default? This is an example of the types of questions we had when exploring and playing around with this new feature.
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