Kroger has redesigned its application stack to be cloud-native, microservices based and running both on-premises and on public clouds.
“Our stack has been redesigned to be cloud-native, microservices based and running both on-premises and on public clouds. We have been leveraging YugabyteDB as the distributed SQL database running natively inside Kubernetes to power the business-critical apps that require scale and high availability.”
-VP Engineering, Customer Technology.
Narvar was challenged by rising costs of AWS databases at scale, while customers and data privacy regulations demanded a multi-cloud solution.
“YugabyteDB helped Narvar avoid cloud lock-in, stay GDPR compliant and save money in the process. Our systems can now keep pace with our rapidly growing business.”
-CTO, Narvar
Plume powers millions of smart homes that generate over 27 billion operations per day handled by YugabyteDB running on Amazon Web Services.
“With YugabyteDB and Yugabyte Platform, we are able to scale rapidly. Our partnership means onboarding new customers and maintaining GDPR compliance becomes a competitive advantage.”
-Co-Founder & Head of Eng
Xignite's business growth was being slowed down by its manually sharded and expensive time-series data infrastructure built on top of AWS RDS MySQL.
“We were be able to replace Xignite’s manually sharded and expensive time-series data architecture with YugabyteDB to serve up over 150+ billion API requests per month. In the process we eliminated the complicated logic to keep database and cache in sync and can scale out much faster, plus take advantage of YugabyteDB’s multi-region capabilities.”
-VP Engineering
CipherTrace’s customers require immediate and accurate results when querying large data sets. DataStax Enterprise could neither deliver on the features nor on the performance.
“When it comes to providing solutions that make blockchain and cryptocurrencies safe and secure, CipherTrace’s customers require immediate and accurate results when querying large data sets. We were able to quickly switch from DataStax Enterprise to YugabyteDB which offered more compelling features for our developers. Features like global secondary indexes, multi-terabyte data node density and pagination support.”
-CTO
Turvo required a 100 percent reliable transactional database that is capable of near-infinite scaling on public cloud platforms and can serve large datasets at very low latencies.
“We are revolutionizing logistics with a collaborative, connected IoT platform to create the Internet of Shipping. This requires a 100% reliable transactional database that is capable of near-infinite scaling and can serve large datasets at very low latencies. YugabyteDB is that database for us.”
-Co-Founder & CTO