why queryio

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Why QueryIO?

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Page 1: Why QueryIO

Why QueryIO?

Page 2: Why QueryIO

Get the Product for Free

Hadoop Based SQL and Big Data Analytics Solution

Page 3: Why QueryIO

Get the Product for Free

• Why free ?

Hadoop Based SQL and Big Data Analytics Solution

Page 4: Why QueryIO

Get the Product for Free

• Why free ?We owe a great deal to the Apache Foundation for developing Hadoop. This is our way of passing the good karma along to others.

Hadoop Based SQL and Big Data Analytics Solution

Page 5: Why QueryIO

Get the Product for Free

• Why free ?We owe a great deal to the Apache Foundation for developing Hadoop. This is our way of passing the good karma along to others.

• Fair enough. What’s the catch ? How does QueryIO sustain itself ?

Hadoop Based SQL and Big Data Analytics Solution

Page 6: Why QueryIO

Get the Product for Free

• Why free ?We owe a great deal to the Apache Foundation for developing Hadoop. This is our way of passing the good karma along to others.

• Fair enough. What’s the catch ? How does QueryIO sustain itself ?

Indeed. As a commercial organization, QueryIO must generate revenues to run the organization and build and maintain our products. We strongly believe our success must be linked to our customer's success. We count on providing our services to help you achieve success with your Hadoop Analytics initiative. QueryIO provides a variety of services to complement our products.

Hadoop Based SQL and Big Data Analytics Solution

Page 7: Why QueryIO

Supports Storing Metadata for all Files on Cluster in RDBMS

Hadoop Based SQL and Big Data Analytics Solution

Page 8: Why QueryIO

Supports Storing Metadata for all Files on Cluster in RDBMS

• QueryIO automatically stores the basic MetaDatafiles stored in HDFS.

Hadoop Based SQL and Big Data Analytics Solution

Page 9: Why QueryIO

Supports Storing Metadata for all Files on Cluster in RDBMS

• QueryIO automatically stores the basic MetaDatafiles stored in HDFS.

• QueryIO further extends the MetaData layer byenabling you to define additional MetaData.

Hadoop Based SQL and Big Data Analytics Solution

Page 10: Why QueryIO

Supports Storing Metadata for all Files on Cluster in RDBMS

• QueryIO automatically stores the basic MetaDatafiles stored in HDFS.

• QueryIO further extends the MetaData layer byenabling you to define additional MetaData.

• QueryIO understands dozens of file formats such aspdf/xls/doc file formats, image files, audio and videofiles, etc.

Hadoop Based SQL and Big Data Analytics Solution

Page 11: Why QueryIO

Supports Data Tagging

Hadoop Based SQL and Big Data Analytics Solution

Page 12: Why QueryIO

Supports Data Tagging

QueryIO provides advanced manual andautomated data tagging feature which allowsyou to define properties for files as they arebeing written to HDFS.

Hadoop Based SQL and Big Data Analytics Solution

Page 13: Why QueryIO

Hadoop SQL

Hadoop Based SQL and Big Data Analytics Solution

Page 14: Why QueryIO

Hadoop SQL

• QueryIO provides a framework which allowsyou to perform standard SQL queries on yourstructured and unstructured Big Data.

Hadoop Based SQL and Big Data Analytics Solution

Page 15: Why QueryIO

Hadoop SQL

• QueryIO provides a framework which allowsyou to perform standard SQL queries on yourstructured and unstructured Big Data.

• It also provides an easy to use interfacethrough which you can generate SQL queriesand design reports to present your processeddata.

Hadoop Based SQL and Big Data Analytics Solution

Page 16: Why QueryIO

Value added services such as S3-compatible REST API, FTP interface etc.

Hadoop Based SQL and Big Data Analytics Solution

Page 17: Why QueryIO

Value added services such as S3-compatible REST API, FTP interface etc.

QueryIO support various interfaces to store andprocess your Big Data.

Hadoop Based SQL and Big Data Analytics Solution

Page 18: Why QueryIO

Value added services such as S3-compatible REST API, FTP interface etc.

QueryIO support various interfaces to store andprocess your Big Data.

Import and export from/to Amazon S3 with the clickof a button.

Hadoop Based SQL and Big Data Analytics Solution

Page 19: Why QueryIO

Value added services such as S3-compatible REST API, FTP interface etc.

QueryIO support various interfaces to store andprocess your Big Data.

Import and export from/to Amazon S3 with the clickof a button.

Import/export from an FTP server or a local filesystem.

Hadoop Based SQL and Big Data Analytics Solution

Page 20: Why QueryIO

Value added services such as S3-compatible REST API, FTP interface etc.

QueryIO support various interfaces to store andprocess your Big Data.

Import and export from/to Amazon S3 with the clickof a button.

Import/export from an FTP server or a local filesystem.

Encrypt and compress your data on a per file orglobal file system basis. Use your QueryIO store as anAmazon S3 end-point using our Amazon S3compatible REST API.

Hadoop Based SQL and Big Data Analytics Solution

Page 21: Why QueryIO

Comprehensive solution to Manage / Monitor Hadoop cluster

Hadoop Based SQL and Big Data Analytics Solution

Page 22: Why QueryIO

Comprehensive solution to Manage / Monitor Hadoop cluster

• QueryIO provides an easy-to-use Web-based user interface for Hadoop cluster management

Hadoop Based SQL and Big Data Analytics Solution

Page 23: Why QueryIO

Comprehensive solution to Manage / Monitor Hadoop cluster

• QueryIO provides an easy-to-use Web-based user interface for Hadoop cluster management

• QueryIO management features make it easy toperform operations like applyingrules, alerts, balancer, health checks etc. onthe nodes running in your cluster.

Hadoop Based SQL and Big Data Analytics Solution

Page 24: Why QueryIO

Feel Free to Drop a Line:[email protected]

Hadoop Based SQL and Big Data Analytics Solution