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
Voiceland relies on YugabyteDB to deliver highly available VoIP services so customers never miss a call.
“With YugabyteDB VOICELAND S.A. is now able to offer a better SLA to our customers world-wide using a global distributed database schema for our new VoIP Telephony SIP Platform. Our core services are now distributed around the world and even if there is a disaster in one data center our SIP Platform will continue to operate as normal and your business will never miss a call! Also our cloud-native applications can now rapidly grow in the cloud or on premises and stay GDPR compliant without vendor lock-in.”
-CTO & Co-Founder
Admiral is growing and so is its data, but MongoDB couldn’t keep up. Admiral found the geo-distribution capabilities, single-digit low latency, massive scale, and high performance it needed in YugabyteDB.
“YugabyteDB is a solid technical choice that meets all of our key requirements, including massive scale, high performance, low latency reads, and cloud native out-of-the-box. In addition, the support team at Yugabyte is incredibly responsive, beyond what we’ve experienced with other vendors.”
-Co-Founder, Admiral
Justuno consolidated their existing SQL and NoSQL deployments into YugabyteDB. This resulted in high availability and great performance while ensuring scalability to address exponential growth.
“By consolidating our Cassandra, Neo4j, Microsoft SQL Server, and CockroachDB systems into a single YugabyteDB cluster we were able to radically simplify our operations while gaining the ability to easily scale our cluster up or down to meet seasonal demands.”
CTO/Co-Founder, Justuno.com