Thoughts on distributed databases, open source, and cloud native
The Yugabyte community is always active and its members are constantly having interesting conversations and making valuable contributions. We spotlight members of the community to recognize their contributions to making the Yugabyte community a great place.
Radek Gruchalski, Managing Director & Software Engineer @ Klarrio GmbH
GitHub: https://github.com/radekg/,
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Read MoreCustomers today expect always-on, highly responsive access to services wherever they are in the world. This is driving businesses to deploy globally distributed applications that deliver better customer experiences. Moving to a geo-distributed database is a key part of this. Moving data closer to where the end-users are enables lower latency access. Geo-distribution can make the data service resilient to zone and region failures in the cloud.
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Read MoreYugabyteDB is PostgreSQL compatible. It uses the same protocol and SQL layer as PostgreSQL. This makes YugabyteDB compatible with a majority of database tools, because PostgreSQL is the most popular open source database on the planet. Here is an example with Arctype, a user-friendly collaborative SQL client to query and visualize data.
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Read MoreAt Distributed SQL Summit Asia, Qin Yu – VP, Engineering, Xignite – presented a talk on how Xignite uses YugabyteDB to power its technology infrastructure to meet the current and future data needs of its financial services and fintech customers.
Xignite is on a mission of “making market data easy.” It does this by offering a cloud-based Market Data Management Solution that aggregates and manages market data in the cloud,
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Read MoreA few weeks ago, Yugabyte CEO Bill Cook and I had the pleasure of speaking with Paul Gaffney, the CTO and Chief Supply Chain Officer of Kohl’s during a virtual fireside chat as part of our Catalysts of Change series. Paul is a visionary tech leader with an extensive track record of driving technology change and innovation at companies like Dick’s Sporting Goods,
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Read MoreWelcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. This blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha and Frits Hoogland. All of us here at Yugabyte also have to thank our incredible user community for their work with the technology,
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Read MoreThis blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with teams at Yugabyte. InfraCloud helps startups, SMBs, and enterprises scale by adopting cloud native technologies.
As organizations deploy applications across multiple cloud regions to better meet user demand and comply with regulations such as GDPR,
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Read MoreYugabyteDB is a distributed, fault tolerant and highly available database with extremely low latencies for reads and writes. Data in YugabyteDB is sharded, replicated and balanced across multiple nodes that can potentially be in different availability zones, regions or even clouds for that matter. In this blog post, we look at how data balancing happens in YugabyteDB and some of the key features of YugabyteDB’s “Cluster Balancer.”
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Read MoreBuilding innovative applications that improve user experience and exceed expectations is hard. As users, we demand a lot. We demand that your applications always be available – who knows, we may want to order a new set of tires at 3:30 am on a Wednesday. We demand that your applications be fast wherever we are – doesn’t matter if it’s Phnom Penh or Philadelphia.
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Read MoreYugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default.
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