Index Engines makes information locked away on historical
Backup Tapes easily accessible - without the need to restore the content or
have the original backup hardware and software environment in place. Index Engines integrates high speed indexing that is non-invasive and highly efficient. Terabytes of data can be processed at unprecedented speeds of 1TB per hour.
Even data on user desktops, or contained in forensic images can be easily discovered and collected. One platform seamlessly indexes, searches and separates the relevant content from the mass of enterprise data, regardless of location, format or age.
- Retire old backup hardware and software
- Index the backup tape content once
- Remove duplicate data reducing the number of
tapes to be stored
- Undertake fast searches for relevant data from
the index
- Restore from tape only relevant data into your
Records Management system
Read
Data Sheet - Review
Tape Assessment Program - Backup/Restore
Headaches Relieved
Enterprise data existing on backup tapes, networks and hard drives can now be efficiently indexed, deduplicated, searched, managed and extracted through one powerful interface. The Index Engines platform indexes data from all storage containers for comprehensive discovery.
Find all email belonging to “John Doe”. Analyze what user content exists
where. Collect relevant content from old backup tapes and eliminate those no longer required. These tasks are nearly impossible for any enterprise. Understanding what exists among the mountainous volumes of information is a challenge even the most tech-savvy organizations have not conquered. Index Engines can help.

Integration with Existing Infrastructure
The Index Engines platform seamlessly integrates into existing data infrastructures to perform fast, scalable indexing. Each engine understands common network and storage protocols. Unified integration and data collection from the following environments is currently supported:
- Historical Backup Tapes
- Virtual Tape Libraries (VTL’s)
- Network Attached Storage (NAS)
- Desktops/Network Servers
- Hard Drives/USB Drives/Forensic Images (Encase, Ghost)
As Index Engines processes data, a searchable index is generated containing rich metadata and content for all common unstructured files and email. This unified index contains information about data residing on backup tapes, networks and large storage file systems to allow for search and extraction of unique content through a single interface. The data is not copied during the indexing process, therefore the index footprint is remarkably small - only 4-8% of the original data size. No other solution has the depth and breadth of discovery across the enterprise. One Index Engine can index over a billion objects per system. The diagram below shows an example implementation of Index Engines for comprehensive data discovery.
When choosing an enterprise
indexing strategy, you will need to evaluate the following criteria:
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Index
Engines |
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Collecting Data
How to find what to index
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Just as Internet search engines crawl
the web to find data, these solutions crawl desktops,
servers and archives, making for a slow and resource
intensive process.
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Our engine does not burden the
infrastructure with new processes or agents; it indexes data
where it resides or is stored.
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| Indexing
Speed
Large volumes require fast indexing
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Traditional indexing solutions are
bogged down by slow network protocols during crawling and
the speed of random disk access during indexing.
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Our proprietary indexing technology
indexes data at up to 1 TB/hr.
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| Security
Is sensitive data protected?
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Some indexing solutions are not built
for the enterprise; they generate cache copies of your data
and don't integrate into existing permissioning schemas.
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Our product is designed from the
ground up for the enterprise - no copies of data are created
and we inherit your existing security environment.
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| Index
Footprint
How much storage will I need?
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Typical indexing products generate
bloated indexes often two to three times the size of the
original data, creating a storage nightmare.
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Our optimized index is only 4-8% of
the original data size, a more manageable size which also
results in faster queries.
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| Scalability
How much stuff can I index?
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Due to slow indexing speeds, and
large storage requirements, these solutions are often
relegated to small projects.
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Our index economically processes
billions, not millions, of files supporting enterprise-wide
engagements.
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| Deployment
What does it take to get going?
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Other indexers require that data be
configured in a specific manner so the indexer can
understand it, a time consuming process.
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Our solution is designed to be plug
and play, no changes to your data environment are necessary.
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| Cost
What's it going to cost?
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Due to the inefficiencies mentioned
above indexing data enterprise-wide is cost prohibitive.
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Index Engines provides the most
economical and scalable solution on the market today.
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The Index Engines platform is focused on providing comprehensive
and efficient indexing of data across the enterprise.
Copyright 2010 Index Engines Inc.
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