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@@ -5,7 +5,7 @@ title: Spark Overview
Apache Spark is a fast and general-purpose cluster computing system.
It provides high-level APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html) that make parallel jobs easy to write, and an optimized engine that supports general computation graphs.
-It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [MLlib](mllib-guide.html) for machine learning, [Bagel](bagel-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
+It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [MLlib](mllib-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
# Downloading
@@ -77,7 +77,7 @@ For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to bui
* [Python Programming Guide](python-programming-guide.html): using Spark from Python
* [Spark Streaming](streaming-programming-guide.html): using the alpha release of Spark Streaming
* [MLlib (Machine Learning)](mllib-guide.html): Spark's built-in machine learning library
-* [Bagel (Pregel on Spark)](bagel-programming-guide.html): simple graph processing model
+* [GraphX (Graphs on Spark)](graphx-programming-guide.html): simple graph processing model
**API Docs:**
@@ -85,7 +85,7 @@ For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to bui
* [Spark for Python (Epydoc)](api/pyspark/index.html)
* [Spark Streaming for Java/Scala (Scaladoc)](api/streaming/index.html)
* [MLlib (Machine Learning) for Java/Scala (Scaladoc)](api/mllib/index.html)
-* [Bagel (Pregel on Spark) for Scala (Scaladoc)](api/bagel/index.html)
+* [GraphX (Graphs on Spark) for Scala (Scaladoc)](api/graphx/index.html)
**Deployment guides:**