Hadoop-streaming Alternatives

Similar projects and alternatives to hadoop-streaming

• push-notify-apn

  0 12 0.0 Haskell hadoop-streaming VS push-notify-apn

  Send Push Notifications from haskell using the new HTTP2 API

  

• distributed-process-lifted

  0 12 0.0 Haskell hadoop-streaming VS distributed-process-lifted

  A generalization of distributed-process functions to a MonadProcess typeclass and standard transformer instances using monad-control and similar technique.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• distributed-process-tests

  4 703 5.9 Haskell hadoop-streaming VS distributed-process-tests

  Cloud Haskell core library

  

• linode

  0 3 0.0 Haskell hadoop-streaming VS linode

  Haskell bindings to the Linode API

• distributed-process-task

  0 4 0.0 Haskell hadoop-streaming VS distributed-process-task

  Cloud Haskell Task Execution Framework

  

• api-tools

  0 34 4.0 Haskell hadoop-streaming VS api-tools

  A Haskell embedded DSL for generating an API's JSON wrappers and documentation.

  

• grpc-etcd-client

  0 3 0.0 Haskell hadoop-streaming VS grpc-etcd-client

  Haskell etcd client using the gRPC binding

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• push-notify

  0 26 0.0 Haskell hadoop-streaming VS push-notify

  A server-side library in Haskell for sending push notifications to devices running different OS.

• micro-gateway

  0 2 0.0 Haskell hadoop-streaming VS micro-gateway

  A Micro service gateway.

• task-distribution

  0 8 0.0 Haskell hadoop-streaming VS task-distribution

  A framework for distributing Haskell tasks running on HDFS data using Cloud Haskell. The goal is speedup through distribution on clusters using regular hardware. This framework provides different, simple workarounds to transport new code to other cluster nodes.