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Tag: OLAP

EDB Puts Postgres in the Middle of Analytics Workflow with New Lakehouse Stack

EnterpriseDB next month is expected to formally launch a new lakehouse that puts Postgres at the center of analytics workflows, with an eye toward future AI workflows. Currently codenamed Project Beacon, EDB’s new data Read more…

AWS Plots Zero-ETL Connections to Azure and Google

At the recent re:Invent show, AWS unveiled new zero-ETL connections that will eliminate the need for customers to build and maintain data pipelines between various AWS data services, including Redshift, Aurora, DynamoDB, Read more…

TikTok Parent Open Sources Real-Time Data Warehouse

You might not yet be a major TikTok influencer, but you can still analyze data like TikTok’s parent company, ByteDance, which recently released its real-time data warehouse architecture as open source. ByConity, the Read more…

Apache Pinot Uncorks Real-Time Data for Ad-Tech Firm

A year ago, customers of Sovrn’s affiliate marketing business could expect to wait 24 to 48 hours before getting access to new data describing online consumer behavior. That didn’t cut it, so the company looked to a Read more…

Exasol Eyes Second Half of 2023 for Two Big Developments

In-memory analytics database developer Exasol has quietly made a name for itself among data warehouse users that need massive concurrency and sub-second response times for their SQL analytics operations. Now the German c Read more…

CelerData Contributes StarRocks to the Linux Foundation

CelerData, vendor of the StarRocks OLAP database, announced it has contributed StarRocks to the Linux Foundation. Originally created as a commercialized fork of the Apache Doris database in 2020, StarRocks is an open Read more…

Cloud Databases Are Maturing Rapidly, Gartner Says

The mad dash to the cloud continues, but now we’re entering a maturation phase that’s bringing more advanced capabilities for both analytical and transactional workloads in the cloud, Gartner analysts wrote in their Read more…

Are Databases Becoming Just Query Engines for Big Object Stores?

Object storage is winning the battle for big data storage in such a convincing fashion that database makers are beginning to cede data storage to object storage vendors and concentrating instead on optimizing their SQL q Read more…

Is Big Data Dead? MotherDuck Raises $47M to Prove It

Big data is dead. Or so says MotherDuck, the builder of a serverless analytics platform based on DuckDB. The company’s founders say they learned from real-world users that a vast majority of workloads do not require th Read more…

StarTree Uncorks $47 Million for Pinot

StarTree, the commercial entity behind the distributed storage and analytics engine called Apache Pinot, has completed a Series B round of venture capital funding worth $47 million, the company announced today. Apache Read more…

StarRocks Brings Speedy OLAP Database to the Cloud

Companies that keep hitting their heads on performance limitations of existing analytics databases may want to check out the fast new cloud analytics offering rolled out today by StarRocks, the commercial entity backing Read more…

StarTree Keeps Real-Time Analytics Fresh with New Options for Pinot

Since it was created at LinkedIn in 2015, interest in Apache Pinot--the distributed storage and analytics engine for real-time analytics--has steadily grown. But over the past year, the number of downloads and active par Read more…

Sisu Nabs $62M to Grow Data Analytics Biz

Sisu Data, a spin-off of a Stanford DAWN project that’s bringing AI to bear on the “combinatorial explosion” of deciding which data variables to track, today announced that’s raised $62 million in a Series C roun Read more…

Is Now the Time for Database Virtualization?

Over the past 20 years, almost all elements of the IT stack have been virtualized. We have virtual storage, virtual networks, and virtual servers. But one part of the stack is conspicuously absent from the virtualization Read more…

Kyligence Doubles Down on Cubes in the Cloud

Multidimensional analysis, or the use of pre-computed OLAP cubes, used to be a primary method for quickly obtaining useful information from reams of data, but has largely fallen out of favor in the age of big data and bi Read more…

Building a Cost-Effective, High-Performing BI Ecosystem on the Cloud

Sponsored Content by Kyvos

The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, s Read more…

Building a Cost-Effective, High-Performing BI Ecosystem on the Cloud

Sponsored Content by Kyvos

The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, s Read more…

Building a Cost-Effective, High-Performing BI Ecosystem on the Cloud

Sponsored Content by Kyvos

The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, s Read more…

Druid Developer Expands Query Options

The latest release of a real-time data analytics platform takes makes use of a new SQL feature in Apache Druid that combines data or rows from multiple tables based on common values. Imply, the real-time analytics sta Read more…

Kyligence Grows OLAP Business in the Cloud

Companies that need to analyze large amounts of data have many options available to them these days. One option they may want to be aware of is Kyligence, which develops a distributed OLAP query engine that can run on pr Read more…

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