Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
In the first part of this series, I argued that Databricks and Snowflake are not walking away from Apache Kafka. They are targeting a narrower and more commercially interesting problem,…
Introducing the Volt Active Data Developer Hub – three guided paths for Kafka, SQL, and AI-agent builders, a browser sandbox backed by a live cluster, and everything in between to…
If you work in network operations, financial services, or any environment running at enterprise scale, you have invested heavily in observability (Dashboards, alerts, correlation rules, etc.) with Datadog, Splunk, Dynatrace,…
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Introducing Volt Active Data v6.0
Volt Active Data is already the go-to product for developing fast data applications because of its unparalleled performance, availability, and…
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Fast Data Recipe: Design Data Pipelines
Processing big data effectively often requires multiple database engines, each specialized to a purpose. Databases that are very good at…
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Openet uses fast data to drive down TCO and support mobile data in real-time
Openet, a leading independent supplier of real-time business support systems (BSS), ensures that more than 600 million mobile telecommunications users…
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Fast Data Recipe: Integrate Streaming Aggregations and Transactions
In the Volt Active Data ebook, “Fast Data: Smart and at Scale,” Ryan Betts and I outline what we have…
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Comparing Cloud Performance With YCSB
Introduction Last year we published YCSB benchmarks that compared IBM SoftLayer with Amazon Web Services. This generated a lot of…
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How we Test at Volt Active Data
When you evaluate a database to use in your application stack, you usually look at the features, the performance, the…
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Accelerating continuous integration with Docker – an intern’s story
Continuous integration (CI) has become a fundamental process in many software-based companies in recent years. Fortunately, frameworks such as Jenkins…
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An intern’s experience with Volt Active Data Materialized Views
My name is Yiqun Zhang and I worked as a software engineering intern on the SQL core team at Volt…
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Bringing Rack-Aware Topology to Volt Active Data
One of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes…
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Getting around the Transparent Huge Pages trap in Linux
A couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set…
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NoSQL vs. NewSQL: Choosing the Right Tool
Trying to choose a database to solve a problem (or a whole set of them)? Here’s a quick rundown of…
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FoundationDB’s Lesson: A Fast Key-Value Store is Not Enough
The sale and subsequent closure of FoundationDB cut short something of a grand experiment. FoundationDB, conceived as a Key-Value store,…
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If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.
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