1. The Platform for Big Data
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It’s Not Just About SQL on Hadoop
Storage
Integration
Resource Management
Metadata
Batch
Processing
MAPREDUCE,
HIVE & PIG
…
Interactive
SQL
IMPALA
Interactive
Search
Solr
HDFS HBase
TEXT, RCFILE, PARQUET, AVRO… RECORDS
Engines
Management | Support
Single platform for processing
ML, SQL, Search, SAS, R, …
Scales to ‘000s of servers
No upfront schema
10% the cost per TB
Open source platform
©2013 Cloudera, Inc. All Rights
Reserved.
Interactive
Analytics
SAS, R, …

2. Impala Today
• Interactive SQL
• Typically 4-65x faster than the latest Hive (observed 100x faster)
• Responses in seconds instead of minutes (sometimes sub-second)
• ANSI-92 standard SQL queries with HiveQL
• Compatible SQL interface for existing Hadoop/CDH applications
• Industry standard SQL
• Natively on Hadoop/HBase storage and metadata
• Flexibility, scale, and cost advantages of Hadoop
• No duplication/synchronization of data and metadata
• Local processing to avoid network bottlenecks
• Separate runtime from batch Hive, Pig, or MapReduce
• Hive is designed and great for batch
• Impala is purpose-built for low-latency SQL queries on Hadoop
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©2013 Cloudera, Inc. All Rights
Reserved.

3. Impala’s Benefits Today
• Unlocks BI/analytics on Hadoop
• Interactive SQL in seconds/milliseconds
• Highly concurrent to handle 100s and 1000s of users
• Native Hadoop flexibility
• No data migration, conversion, or duplication required
• Query across existing Hadoop data
• Run multiple frameworks on the same data at the same time
• Supports Parquet for best-of-breed columnar performance
• Native MPP query engine designed into Hadoop:
• Unified Hadoop storage
• Unified Hadoop metadata (uses Hive and HCatalog)
• Unified Hadoop security
• Fine-grained role-based access controls with Sentry
• Apache-licensed open source
• Deployed and proven across many customers today
©2013 Cloudera, Inc. All Rights
Reserved.
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