At Stratio, we have implemented several real-time analytics projects based on Apache Spark, Kafka, Flume, Cassandra, ElasticSearch or MongoDB. These technologies were always a perfect fit, but soon we found ourselves writing the same pieces of integration code over and over again. Stratio Sparta is the easiest way to make use of the Apache Spark Streaming technology and all its ecosystem. Choose your input, operations and outputs, and start extracting insights out of your data in real-time.

• Pure Spark
• No need of coding, only declarative analytical workflows
• Data continuously streamed in & processed in near real-time
• Ready to use out-of-the-box
• Plug & play: flexible workflows (inputs, outputs, transformations, etc…)
• High performance and Fault Tolerance
• Scalable and High Availability
• Big Data OLAP on real-time to small data
• ETLs
• Triggers over streaming data
• Spark SQL language with streaming and batch data
• Kerberos and CAS compatible

Send one workflow as a JSON to Sparta API and execute in one Spark Cluster your own real-time plugins

Send more than one Streaming Job in the Spark Cluster and manage them with a simple UI

Run workflows over Mesos, Yarn or SparkStandAlone

Modular components extensible with simple SDK

• You can extend several points of the platform to fulfill your needs, such as adding new inputs, outputs, operators, transformations.
• Add new functions to Kite SDK in order to extend the data cleaning, enrichment and normalization capabilities.

On each workflow multiple components can be defined, but now all have the following architecture

Several plugins are been implemented by Stratio Sparta team

With Sparta is possible to execute queries over the streaming data, execute ETL, aggregations and Simple Event Processing mixing streaming data with batch data on the trigger process.

The aggregation process in Sparta is very powerful because is possible to generate efficient OLAP processes with streaming data

Advanced feature are been implemented in order to optimize the stateful operations over Spark Streaming

• Twitter
• Kafka
• Flume
• RabbitMQ
• Socket
• WebSocket
• HDFS/S3

• MongoDB
• Cassandra
• ElasticSearch
• Redis
• JDBC
• CSV
• Parquet
• Http
• Kafka
• HDFS/S3
• Http Rest
• Avro

• [Spark Streaming & Spark] (http://spark.apache.org)
• [SparkSQL] (https://spark.apache.org/sql)
• [Akka] (http://akka.io)
• [MongoDB] (http://www.mongodb.org/)
• [Apache Cassandra] (http://cassandra.apache.org)
• [ElasticSearch] (https://www.elastic.co)
• [Redis] (http://redis.io)
• [Apache Parquet] (http://parquet.apache.org/)
• [HDFS] (http://hadoop.apache.org/docs/r1.2.1/hdfs_design.html)
• [Apache Kafka] (http://kafka.apache.org)
• [Apache Flume] (https://flume.apache.org/)
• [RabbitMQ] (https://www.rabbitmq.com/)
• [Spray] (http://spray.io/)
• [KiteSDK (morphlines)] (http://kitesdk.org/docs/current)
• [Apache Avro] (https://avro.apache.org/)

Sparta provide several advantages to final Users

You can generate rpm and deb packages by running:

mvn clean package -Ppackage

Note: you need to have installed the following programs in order to build these packages:

In a debian distribution:

• fakeroot
• dpkg-dev
• rpm

In a centOS distribution:

• fakeroot
• dpkg-dev
• rpmdevtools

• Stratio Sparta

Licensed to STRATIO (C) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The STRATIO (C) licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.