Category: Volt Capabilities
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8 min read
How we Test at Volt Active Data
Read more: How we Test at Volt Active DataWhen you evaluate a database to use in your application stack, you usually look at the features, the performance, the price, and the fit. You take for granted that the data is correct, that the features work as documented, and that the…
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Accelerating continuous integration with Docker – an intern’s story
Read more: Accelerating continuous integration with Docker – an intern’s storyContinuous integration (CI) has become a fundamental process in many software-based companies in recent years. Fortunately, frameworks such as Jenkins do most of the heavy lifting and make it flexible for the engineering team to examine and improve the process. With the…
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8 min read
An intern’s experience with Volt Active Data Materialized Views
Read more: An intern’s experience with Volt Active Data Materialized ViewsMy name is Yiqun Zhang and I worked as a software engineering intern on the SQL core team at Volt Active Data during the summer. The experience of working with so many smart and talented people was so much fun. I was…
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Bringing Rack-Aware Topology to Volt Active Data
Read more: Bringing Rack-Aware Topology to Volt Active DataOne of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes placement of the partition masters and replicas on physical Volt Active Data nodes. Once determined, the topology does not change unless node…
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Getting around the Transparent Huge Pages trap in Linux
Read more: Getting around the Transparent Huge Pages trap in LinuxA couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set size (RSS) of the Volt Active Data process would keep growing when the database was idle. The symptom only manifested itself on…
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NoSQL vs. NewSQL: Choosing the Right Tool
Read more: NoSQL vs. NewSQL: Choosing the Right ToolTrying to choose a database to solve a problem (or a whole set of them)? Here’s a quick rundown of the advantages – and disadvantages – of NoSQL versus NewSQL. Choosing the right tool for the job at hand is 80 percent…
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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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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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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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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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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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