Big & Fast Data
Ziverge has expertise in designing, overseeing, and developing big and fast data solutions using industry-standard technologies.
ZIO
ZIO is a library for building async, concurrent, and distributed applications. ZIO's composable, type-safe primitives for building cloud-native applications allow constructing highly responsive, scalable applications in a fraction of the time required by other approaches, with fewer defects and lower cost of maintenance. Our team features leading contributors to ZIO and related projects, including John A. De Goes, the founder an architect of ZIO.
Apache Spark
Apache Spark is a comprehensive framework for executing distributed data transformations. Spark can be used to efficiently transfer and transform data between various locations, train machine learning models and perform inference, and more. Our team has years of experience running Spark in production, adapting algorithms to run in a distributed fashion over Spark clusters and onboarding new developers to existing Spark code bases.
Apache Flink
Apache Flink is a novel framework for writing stateful stream processing applications that run in a distributed fashion over a cluster of machines. Flink can be used to express sophisticated computation processes that run incrementally in bounded memory while using local, persistent state that can scale to terabytes of data. Our team has designed and deployed multiple applications running on Flink clusters and can help you plan your entire streaming project—from algorithms, through application design and to production deployment.
Kafka Streams
Kafka Streams is a library for creating stateful stream processing applications over data stored in Kafka topics. As a library, it is lighter weight than other alternatives, being embeddable in existing applications and not requiring standalone cluster deployments. Our team’s deep experience in deploying Kafka and Kafka Streams applications will help you design and deploy streaming applications over Kafka’s infrastructure from start to finish.