Category: Volt Capabilities
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8 min read
FoundationDB’s Lesson: A Fast Key-Value Store is Not Enough
Read more: FoundationDB’s Lesson: A Fast Key-Value Store is Not EnoughThe sale and subsequent closure of FoundationDB cut short something of a grand experiment. FoundationDB, conceived as a Key-Value store, had decided to add flexibility in the form of programming and query-model “Layers” on top of its core KV store. First up…
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8 min read
How Docker Simplifies Distributed Systems Development at Volt Active Data
Read more: How Docker Simplifies Distributed Systems Development at Volt Active DataWorking on distributed systems is fun, but not easy! As a software engineer at Volt Active Data, a big chunk of my time is spent testing software on a cluster of machines as part of new feature development and also for customer…
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8 min read
Simplifying the (complex) Lambda Architecture
Read more: Simplifying the (complex) Lambda ArchitectureThe Lambda Architecture defines a robust framework for ingesting streams of fast data while providing efficient real-time and historical analytics. In Lambda, immutable data flows in one direction: into the system. The architecture’s main goal is to execute OLAP-type processing faster –…
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8 min read
Optimizing Index Performance – A CMU Intern’s Work at Volt Active Data
Read more: Optimizing Index Performance – A CMU Intern’s Work at Volt Active DataMy name is Yetian Xia. I worked as a software engineering intern at Volt Active Data during the summer, working with the core team. My favorite project was optimizing the performance of deleting entries from a low-cardinality non-unique tree index. Index is…
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8 min read
Best Practices for Index Optimization in Volt Active Data
Read more: Best Practices for Index Optimization in Volt Active Datandexes provide a classic “space for speed” trade-off. They add to the persistent memory footprint of your application data but they make query filtering significantly faster. They also represent a trade-off that sacrifices write performance for read performance, on the assumption that…
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8 min read
Volt Active Data In-Memory Database Achieves Best-In-Class Results, Running in the Cloud, On the YCSB Benchmark
Read more: Volt Active Data In-Memory Database Achieves Best-In-Class Results, Running in the Cloud, On the YCSB BenchmarkThe development team at Volt Active Data recently ran Volt Active Data v4.2 against the Yahoo Cloud Serving Benchmark (YCSB), an industry-standard performance benchmark for cloud databases. We ran our test on as realistic a cluster setup as possible: commodity hardware that…
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8 min read
Aging Out Data From Volt Active Data
Read more: Aging Out Data From Volt Active DataDeleting records is often an afterthought when you’re first building a proof of concept with Volt Active Data, but it is an important function that should be given some thought as part of any design. Few applications can retain data forever, and…
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8 min read
Using The Spring @Schedule Annotation
Read more: Using The Spring @Schedule AnnotationIn a previous life I had a requirement that a web application scanned the expiration date of purchased content and sent one of three emails letting the user know that the item would expire soon, was going to expire very soon and…
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8 min read
Clarifications On The CAP Theorem And Data-Related Errors
Read more: Clarifications On The CAP Theorem And Data-Related ErrorsThere has been another round of online conversations about the CAP theorem as the internet community continues to discuss its implications on networked databases. Coda Hale recently wrote a well received article titled CAP paper by Gilbert and Lynch. Scattered in the larger…