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Sunil Sayyaparaju 
sunil@aerospike.com
Salient Features 
Redis Aerospike 
 High performance 
 Data Structure store 
 Tuned for in-memory 
 Can be persisted 
 Clustering in beta 
 Application sharded 
 High performance 
 Generic KeyValue Store 
 Tuned for in-memory 
 Tuned for persistence 
 Auto clustering 
 Auto sharded 
 Auto rebalancing
High Performance 
Redis Aerospike 
 Written in C 
 Tuned for in-memory 
 Single threaded 
 Multiple instances to 
exploit multiple cores 
 Risk of loosing replicated 
data 
 Written in C 
 Tuned for in-memory/ 
SSD 
 Multi threaded 
 Single/Multiple instances 
to exploit multiple cores 
 No risk in single instance 
mode 
 Can use rackawareness 
when running multiple 
instances
Data Store 
Redis Aerospike 
 Very rich set of data 
strcutures & operations 
 [A…Z] – [J N V X Y] 
 API is data structure 
centric 
 Caller/App should know 
the Redis node 
 2^32 max keys per node 
 Supports int, string, list, 
map, blob 
 All operations are not 
predefined 
 API is KeyValue centric 
 Caller/App need not 
know the Aerospike node 
 2^160 max keys per 
namespace
In-memory 
Redis Aerospike 
 Tuned for in-memory 
 LRU cache 
 Tuned for in-memory 
 LRU cache
Persistence 
Redis Aerospike 
 Optional persistence 
 Snapshot 
 AOF 
 In case of AOF, the 
whole log needs to be re-applied 
 Tuned for SSDs 
 Tuned for in-memory + 
HDD 
 Own log structured 
filesystem 
 Storage file is simply 
scanned and loaded 
 Can be warm restarted
Replication 
Redis Aerospike 
 Manual config of master-slave 
 Asynchronous replication 
 A node is exclusively 
master or slave 
 Needs more machines 
 Auto assignment of 
master-slave 
 Synchronous replication 
 A node is both master 
and slave 
 Needs less but bigger 
machines 
 Rackaware
Sharding 
Redis Aerospike 
 Application sharding  Auto sharding 
 Hash based 
 into 4096 partitions 
 Partitions are assigned to 
nodes 
 Auto rebalancing of data
Clustering 
Redis Aerospike 
 In Beta 
 Consistent 
 Manual/Scripted cluster 
formation 
 … 
 In-built from day 1 
 Available 
 Auto clustering using 
multicast 
 Auto rebalance when 
cluster changes 
 Read/Writes allowed during 
rebalancing
Additional Features 
Redis Aerospike 
 User Defined Functions 
 PubSub 
 … 
 Afterburner script to tune 
system 
 Cross Datacenter 
Replication 
 Secondary Index 
 User Define Functions 
 Streaming Aggregations 
 GUI Monitoring Console
Redis vs Aerospike
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Redis vs Aerospike

  • 2. Salient Features Redis Aerospike  High performance  Data Structure store  Tuned for in-memory  Can be persisted  Clustering in beta  Application sharded  High performance  Generic KeyValue Store  Tuned for in-memory  Tuned for persistence  Auto clustering  Auto sharded  Auto rebalancing
  • 3. High Performance Redis Aerospike  Written in C  Tuned for in-memory  Single threaded  Multiple instances to exploit multiple cores  Risk of loosing replicated data  Written in C  Tuned for in-memory/ SSD  Multi threaded  Single/Multiple instances to exploit multiple cores  No risk in single instance mode  Can use rackawareness when running multiple instances
  • 4. Data Store Redis Aerospike  Very rich set of data strcutures & operations  [A…Z] – [J N V X Y]  API is data structure centric  Caller/App should know the Redis node  2^32 max keys per node  Supports int, string, list, map, blob  All operations are not predefined  API is KeyValue centric  Caller/App need not know the Aerospike node  2^160 max keys per namespace
  • 5. In-memory Redis Aerospike  Tuned for in-memory  LRU cache  Tuned for in-memory  LRU cache
  • 6. Persistence Redis Aerospike  Optional persistence  Snapshot  AOF  In case of AOF, the whole log needs to be re-applied  Tuned for SSDs  Tuned for in-memory + HDD  Own log structured filesystem  Storage file is simply scanned and loaded  Can be warm restarted
  • 7. Replication Redis Aerospike  Manual config of master-slave  Asynchronous replication  A node is exclusively master or slave  Needs more machines  Auto assignment of master-slave  Synchronous replication  A node is both master and slave  Needs less but bigger machines  Rackaware
  • 8. Sharding Redis Aerospike  Application sharding  Auto sharding  Hash based  into 4096 partitions  Partitions are assigned to nodes  Auto rebalancing of data
  • 9. Clustering Redis Aerospike  In Beta  Consistent  Manual/Scripted cluster formation  …  In-built from day 1  Available  Auto clustering using multicast  Auto rebalance when cluster changes  Read/Writes allowed during rebalancing
  • 10. Additional Features Redis Aerospike  User Defined Functions  PubSub  …  Afterburner script to tune system  Cross Datacenter Replication  Secondary Index  User Define Functions  Streaming Aggregations  GUI Monitoring Console