Category: Streaming Data

Kafka Summit 2017 – Key Takeaways and Commentary

Kafka Summit 2017

Last Monday on August 28th, a number of the VoltDB staff attended the Kafka Summit in San Francisco. This one-day event brought in over 700 attendees from the developer audience to attend 30+ valuable technical talks and breakout sessions, and meet directly with exhibiting sponsors like VoltDB to learn more about their technology – and […]

Beyond Analytics to Real-time Decisions

Companies and business leaders are increasingly realizing the advantages and opportunities provided by implementing real-time decision making and action on streams of data. Joe McKendrick, writing for the DBTA thought leadership series, sees the trend as well — and has the evidence to prove it. He notes that a Unisphere/Information Today, Inc. survey “found that […]

Connecting VoltDB to Amazon AWS Kinesis Streams

Connecting VoltDB and Amazon Kinesis

VoltDB includes interfaces – both import and export – to many other applications and systems in the broader ecosystem of big and fast data, including the cloud. A recent integration, released in VoltDB v6.6, allows system builders to connect VoltDB in either data producer and data consumer roles with Amazon (AWS) Kinesis streaming services. Connections […]

Fast Data Pipeline Design: Updating Per-Event Decisions by Swapping Tables

Fast Data Pipeline

VoltDB was one of the first companies to enable a new modern breed of applications, applications that combine streaming, or “fast data”, tightly with big data.We call these applications Fast Data Pipelines. First, a quick high-level summary of the fast data pipeline architecture:   The first thing to notice is that there is a tight […]

Who will win in the IoT?

Let’s talk about The Internet of Things, or “IoT”. You cannot turn a page lately in the technology press and not see those three letters. The buzz is that IoT is a revolution. IoT is transformative. IoT is unavoidable – all true. Some suggest Internet of Things (IoT) is the next big paradigm shift – […]

Billions and billions (of transactions)

Billions and billions[1] of transactions are executed each and every day by production-deployed VoltDB applications. A back-of-the-napkin calculation puts the number north of 50 billion a day. The number is likely much, much higher. These billions of transactions are executed across a variety of innovative applications, applications not practical, or sometimes even possible, to build […]

Continuous queries on streams in VoltDB using materialized views

We’ve added a new feature in VoltDB v6.6: support for joins in materialized views. We’re very pleased to share this update with you. Read on for use cases and practical suggestions. Fast data applications rely heavily on DBMSs like VoltDB to provide steady support for many continuous and complex queries returning aggregate and summary data. […]

Call Center example: Integrating processing and state to make streaming problems simple to solve

I recently gave a talk at the Strata + Hadoop World conference in San Jose on the benefits of integration of processing and state and transactions when solving stream processing problems. The talk described how a system like VoltDB makes the following things easier: Correlation and streaming joins Out-of-order message delivery Exactly-once processing semantics Precision accounting […]

A Classification of Streaming Applications

The Internet of Things (IOT) is rapidly expanding the number of streaming applications as people sensor tag an increasing number of objects of significance. This adds to the historical streaming applications we have observed in financial services, the military, on-line gaming and elsewhere. In this blog post, we classify such streaming applications according to Table […]

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