Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular? We found all the answers you need at the Percona Live event last month, and broke down the insights into the following free trends reports:

• Top Databases Used: Open Source vs. Commercial
• Cloud Infrastructure Analysis: Public Cloud vs. On-Premise vs. Hybrid Cloud
• Polyglot Persistence Trends: …

Keeping the Uber platform reliable and real-time across our global markets is a 24/7 business. People may be going to sleep in San Francisco, but in Paris they’re getting ready for work, requesting rides from Uber driver-partners. At that same …

The post DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake appeared first on Uber Engineering Blog.

Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. Get the latest insights on MySQL, MongoDB, PostgreSQL, Redis, and many others to see which database management systems are most favored this year.

SQL vs. NoSQL

As any database administrator knows, the first question you have to ask yourself is whether to use a SQL or NoSQL database for your application. …

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware. At Uber, cluster management …

The post Peloton: Uber’s Unified Resource Scheduler for Diverse Cluster Workloads appeared first on Uber Engineering Blog.

From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data. Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, …

The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.

DataOps Barcelona is an event organized by Binlogic and will be taking place June 21-22, 2018 in Barcelona, Spain. Pythian is proud to be supporting this inaugural open source-focused conference in Europe!

DataOps is of course short for “Database + Operations” and contains talks about the various open-source database ecosystems and how they are operationalized with regards to cloud solutions, security, automation, high availability and scaling.

Pythian has a long history of helping companies leverage open source technologies and cloud infrastructure to meet their business requirements. We excel at managing traditional open source relational database (MySQL) and relatively new NoSQL technologies (MongoDB, Cassandra).

Our …

“The single most important lesson I’ve learned is to keep it simple. I find designers sometimes deliver over-complex, generic solutions that could (in theory) do anything, but in reality are remarkably difficult to operate, and often misunderstood.”–John Ryan

I have interviewed John Ryan, Data Warehouse Solution Architect (Director) at UBS.

RVZ

Q1. You are an experienced Data Warehouse architect, designer and developer. What are the main lessons you have learned in your career?

John Ryan: The single most important lesson I’ve learned is to keep it simple. I find designers sometimes deliver over-complex, generic solutions that could (in theory) do anything, but in reality are remarkably difficult to operate, and often misunderstood. I believe this stems from a lack of understanding of the …

You may know Continuent Tungsten for our highly advanced MySQL replication tool, Tungsten Replicator, and for our state-of-the-art MySQL clustering solution, Tungsten Clustering. Our solutions are used by leading SaaS vendors, e-commerce, financial services and telco customers.

But there are more, many more, Tungsten deployments out there. Tungsten Replicator can be used for real-time data

Continuent are pleased to announce the release of Tungsten Replicator and Tungsten Clustering 5.2.0

This release is one of our most exciting new releases for a while, as it contains some significant new features and lays the groundwork for some additional new functionality in the upcoming 5.3.0 and 6.0 releases due later this year.

In particular, this release includes the following new features:

• New replicator filtering environment to make filtering quicker and easier to use, and more flexible
  • New filter configuration standard for new filters
  • New filter to make replication out of a cluster easier
  • New filters for filtering events and data
• New applier for sending Apache Kafka messages directly from an incoming data stream
• New applier for adding incoming records directly to Elasticsearch for indexing
• New …

The place is still frantic here at Percona Live 2017 as everybody tries to squeeze in a few more talks before the end of the day. One such talk was given by Red Hat’s Stefan Negrea on Hawkular Metrics.

Hawkular Metrics is a scalable, long-term, high-performance storage engine for metric data. The session was an overview of the project that includes the history of the project, an overview of the Hawkular ecosystem, technical details of the project, developer features and APIs and third party integrations.

Hawkular Metrics is backed by Cassandra for scalability. Hawkular Metrics is used and exposed by Hawkular Services.The API uses JSON to communicate with clients.

Users of Hawkular Metrics include: …