Kafka Connect is a popular tool for scaling and reliably streaming data between Apache Kafka and other data systems. It ships with a JDBC Sink which is used to insert data from Kafka to a database. Although the default JDBC Sink is good for many popular RDBMS it isn’t optimized for distributed SQL databases that provide linear scalability and high availability like YugabyteDB.
In our earlier blog introducing YugabyteDB 2.7,
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At 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.
A 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, The Home Depot, and AAA of Northern California,
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Welcome 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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This 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, there is a need to distribute data across geographic regions.
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YugabyteDB 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.”
The cluster balancer runs once every second.
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Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.
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We partnered with Hasura to build an integration between the YugabyteDB Managed database and Hasura Cloud and to make building complex, global applications easier. Read the blog to learn more.
YugabyteDB 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. When this level of consistency is not required, YugabyteDB supports two other types of reads:
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Learn why software engineer on our database-as-service team, Akshat Jain, loves YugabyteDB and our company culture, and why he chose us.
