Update landing page content
Summary: Changes based on comments in D62985 Test Plan: Visual https://www.facebook.com/pxlcld/pvVs Reviewers: lgalanis, sdong Reviewed By: sdong Subscribers: andrewkr, dhruba, leveldb Differential Revision: https://reviews.facebook.net/D63477
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- title: Optimized for Fast Storage
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RocksDB is optimized for fast, low latency storage such as flash drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM.
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image: images/promo-flash.svg
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- title: High Performance
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RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams.
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image: images/promo-performance.svg
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- title: Optimized for Fast Storage
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text: |
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RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM.
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image: images/promo-flash.svg
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- title: Adaptable
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RocksDB can also be used as a storage engine for databases. [MongoRocks](https://github.com/mongodb-partners/mongo-rocks) and [MyRocks](https://github.com/facebook/mysql-5.6) are two production examples.
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RocksDB is adaptable to different workloads. From database storage engines such as [MyRocks](https://github.com/facebook/mysql-5.6) to [application data caching](http://techblog.netflix.com/2016/05/application-data-caching-using-ssds.html) to embedded workloads, RocksDB can be used for a variety of data needs.
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image: images/promo-adapt.svg
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- title: Basic and Advanced Database Operations
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RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as slicing and iteration.
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RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters.
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image: images/promo-operations.svg
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