Relational Databases in the Cloud: Masters of Federation

Relational database management systems (RDBMSes) have been around for a long time, and they are very much still with us. The on-premises workloads that RDBMSes have traditionally handled remain mission-critical, but these databases also work extremely well in the cloud—not just by lifting, shifting, and adjusting to it, but by taking on important new workloads […]

Need a Scale-Out Database?

NoSQL databases have seen a lot of growth in the past several years. The realities of the pandemic have exposed how important it is to have a reliable, agile technology infrastructure in place with proven software like the open source Apache Cassandra™ — which is crucial for business continuity, low latency, and being able to […]

<strong>Not Your Father’s Primary Storage</strong>

Moving from block-first to flexible consumption Primary storage refers to the technologies and methods involved in storing data persistently in a computing system. Traditionally, business critical functions in large enterprises have been concentrated in a few monolithic applications. To this end, primary storage has been synonymous with block storage, better suited to the relational databases […]

GigaOm Research Bulletin #001

GigaOm Radar

Hello! To kick things off, please let us express our gratitude for vendor participation in our research last year. We are now researching 1,700 vendors across 120 solution categories. Last year we were briefed by a total of 836 vendors, which is staggering. Whether responding to questionnaire requests or fact checks, or just including us […]

A three-point plan for mid-market technology cost saving

Mid-Market Cost

Sweat your infrastructure, review your contracts and assess your workloads All mid-market organizations are reviewing how they can make better use of their budgets next year. This starts with the infrastructure you have already paid for and how to get the most out of it. When I talked about sweating assets in a previous article, […]

How APM, Observability and AIOps drive Operational Awareness

Ron Williams explains all to Jon Collins Jon Collins: Hi Ron, thanks for joining me! I have two questions, if I may. One’s the general question of observability versus what’s been called application performance monitoring, APM – there’s been some debate about this in the industry, I know. Also, how do they both fit in […]

Modernize Your Data Pipelines with Multi-Modal Change Data Capture

They may be cliché by now, but the volume, variety, and velocity of data are real and continue to accelerate. Data sources are on the increase, too, and processing streaming data in real-time is becoming essential. How can you modernize your data pipeline infrastructure to meet these requirements, with room to grow as they intensify? […]

High Performance Cloud Data Warehouse Vendor Evaluation

This free 1-hour webinar brings GigaOm analyst William McKnight and special guest, Cloudera’s Bill Zhang, Director of Data Warehouse Product Management to discuss the intriguing results from an in-depth Analytic Field Test derived from the industry-standard TPCâ„¢-DS benchmark to compare leading cloud data warehouse offerings: Amazon Redshift, Azure Synapse, Snowflake, Google BigQuery and Cloudera Data […]

Making Data Ingest and Pipelines Use Case-Driven

How can an organization ensure it has access to the best data, of the highest quality, with as little delay as possible? Getting there is a matter of policy, business priority, and technical architecture, as well. Streaming data processing, classic Extract-Transform-Load (ETL), and change data capture (CDC)-based data replication each involve the ingestion, inspection, and […]

Data Governance: Striking the Right Balance for Insights, Privacy, and Compliance

Want to make your digital transformation a success? Data governance and access control are key to that effort. Even if digital transformation doesn’t motivate you, compliance with GDPR, CCPA – and other regulatory frameworks for data protection – should. But implementing access controls manually, one data source at a time, won’t cut it anymore. Instead, […]