Kafka Storm Starter Alternatives

[PROJECT IS NO LONGER MAINTAINED] Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Alternatives To Kafka Storm Starter
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Adam96620178 months ago14December 16, 202035apache-2.0Scala
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Kafka Storm Starter729
2 years agootherScala
[PROJECT IS NO LONGER MAINTAINED] Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Devops Python Tools709
8 months ago37mitPython
80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Functions, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.
Sparklearning573
3 years ago3apache-2.0Scala
Learning Apache spark,including code and data .Most part can run local.
Spark Avro53547396 years ago8October 30, 201777apache-2.0Scala
Avro Data Source for Apache Spark
Shc484
4 years ago158apache-2.0Scala
The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.
Sparkling423
103 years ago23January 16, 201813epl-1.0Clojure
A Clojure library for Apache Spark: fast, fully-features, and developer friendly
Iceberg409
3 years ago27apache-2.0Java
Iceberg is a table format for large, slow-moving tabular data
Abris2155a year ago17October 06, 202014apache-2.0Scala
Avro SerDe for Apache Spark structured APIs.
Spark Bigquery149
15 years ago6November 29, 201734apache-2.0Scala
Google BigQuery support for Spark, SQL, and DataFrames
Alternatives To Kafka Storm Starter
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