6. Easy to scale

7. Simplified operations

16. Pelops: http://github.com/s7/scale7-pelops

17. Kundera http://code.google.com/p/kundera/

20. SimpleCassie: http://code.google.com/p/simpletools-php/wiki/SimpleCassie

24. ColumnOrSuperColumn (don't forget Counters!)

25. ColumnParent.super_column

26. ColumnPath.super_column

27. Map<ByteBuffer,Map<String,List<Mutation>>> mutationMap

30. programatically

32. Complete encapsulation of Thrift API

33. Type-safe approach to dealing with Apache Cassandra

34. Lightweight ORM (supports JPA 1.0 annotations)

35. JPA support: https://github.com/riptano/hector-jpa

36. Mavenized! http://repo2.maven.org/maven2/me/prettyprint/

38. JDBC Driver implementation means lots of possibilities

39. Encapsulate API changes

41. Pooling

45. Schema Manipulation

46. CQL Execution

50. columnQuery.setName(&quot;city&quot;);

52. sliceQuery.setColumnNames(&quot;city&quot;,&quot;state&quot;,&quot;lat&quot;,&quot;lng&quot;);

54. sliceQuery.setRange(202L, 204L, false, 5)

56. multigetSlicesQuery.setKeys(&quot;512202&quot;,&quot;512203&quot;,&quot;512205&quot;,&quot;512206&quot;);

58. rangeSlicesQuery.setKeys(&quot;512202&quot;, &quot;512205&quot;);

59. rangeSlicesQuery.setRowCount(5);

61. sliceQuery.setRange(&quot;Austin&quot;, &quot;Austin__204&quot;, false, 5);

63. isq.setColumnNames(&quot;city&quot;,&quot;lat&quot;,&quot;lng&quot;);

64. isq.addEqualsExpression(&quot;state&quot;, &quot;TX&quot;);

65. isq.addEqualsExpression(&quot;city&quot;, &quot;Austin&quot;);

66. isq.addGteExpression(&quot;lat&quot;, &quot;30.30&quot;);

69. mutator.addInsertion(&quot;650222&quot;, &quot;Npanxx&quot;, HFactory.createStringColumn(&quot;city&quot;, &quot;Burlingame&quot;));

71. mutator.addInsertion(&quot;650&quot;, &quot;AreaCode&quot;,

76. -------------------

77. RowKey: CA Burlingame

78. => (column=650, value=33372e3537783132322e3334, timestamp=1310340410528000)

79. -------------------

80. RowKey: TX Austin

81. => (column=202, value=33302e3237783039372e3734, timestamp=1310143852392000)

82. => (column=203, value=33302e3237783039372e3734, timestamp=1310143852444000)

83. => (column=204, value=33302e3332783039372e3733, timestamp=1310143852448000)

84. => (column=205, value=33302e3332783039372e3733, timestamp=1310143852453000)

85. => (column=206, value=33302e3332783039372e3733, timestamp=1310143852457000)

87. -------------------

88. RowKey: CA Burlingame

89. -------------------

90. RowKey: TX Austin

91. => (column=202, value=33302e3237783039372e3734, timestamp=1310143852392000)

92. => (column=203, value=33302e3237783039372e3734, timestamp=1310143852444000)

93. => (column=204, value=33302e3332783039372e3733, timestamp=1310143852448000)

94. => (column=205, value=33302e3332783039372e3733, timestamp=1310143852453000)

95. => (column=206, value=33302e3332783039372e3733, timestamp=1310143852457000)

97. . . .

98. -------------------

99. RowKey: 202230

100. -------------------

101. . . .

103. updater.setString(&quot;stringval&quot;,&quot;value1&quot;);

104. updater.setDate(&quot;curdate&quot;, date);

105. updater.setLong(&quot;longval&quot;, 5L);

106. template.update(updater);

107. template.addColumn(&quot;stringval&quot;, se);

108. template.addColumn(&quot;curdate&quot;, DateSerializer.get());

109. template.addColumn(&quot;longval&quot;, LongSerializer.get());

114. “ range ghosts” and “tombstones”

115. using the wrong column comparator, key/default validators and InvalidRequestException

116. “ Schema-less” -> “Schema Optional”

117. use column-level TTL to automate deletion

119. a good sign your data model is wrong