Oracle Database on Demand (DoD)

Dear Oracle Guru's:
What is Oracle Database on Demand (DoD)? My understanding is that, it is the lingo used for Oracle Database over cloud. Please correct my understanding
In either case i have following question on Oracle DoD
1) IS there any limitation over the concurrents users on Oracle DoD ? Or thats limited to the service/pricing on Oracle DoD?
2) IS there any limitation on transaction with respect to data volume per user ?
3) Does my application need changes while connecting to Oracle DoD ( apart from connection string, i.e. Host name and SID) ?
4) Where I can find more details on Oracle DoD?
5) Where I can find pricing details on Oracle DoD ?
6) Any other limitatiins with Oracle DoD?
Thanks,
PMKV

In addition to Aman's reply below links may also be of your interest :
Oracle On Demand
http://www.oracle.com/in/products/ondemand/index.html
Oracle On Demand Professional Edition
http://www.oracle.com/us/products/ondemand/professional-edition-190942.html?ssSourceSiteId=ocomin
Regards
Girish Sharma

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    Message was edited by: Dipesh Majumdar
    user542575
    Message was edited by:
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    TIME_DIM_ID               TT_INTEGER NOT NULL,
    BUSINESS_DIM_ID          TT_INTEGER NOT NULL,
    ACCOUNT_DIM_ID               TT_INTEGER NOT NULL,
    ORDERTYPE_DIM_ID          TT_INTEGER NOT NULL,
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    FILLED_QUANTITY          TT_BIGINT,
    CNT_FILLED_QUANTITY          TT_BIGINT,
    QUANTITY               TT_BIGINT,
    CNT_QUANTITY               TT_BIGINT,
    COMMISSION               BINARY_FLOAT,
    CNT_COMMISSION               TT_BIGINT,
    FILLS_NUMBER               TT_BIGINT,
    CNT_FILLS_NUMBER          TT_BIGINT,
    AGGRESSIVE_FILLS          TT_BIGINT,
    CNT_AGGRESSIVE_FILLS          TT_BIGINT,
    NOTIONAL               BINARY_FLOAT,
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    TOTAL_PRICE               BINARY_FLOAT,
    CNT_TOTAL_PRICE          TT_BIGINT,
    CANCELLED_ORDERS_COUNT          TT_BIGINT,
    CNT_CANCELLED_ORDERS_COUNT     TT_BIGINT,
    ROUTED_ORDERS_NO          TT_BIGINT,
    CNT_ROUTED_ORDERS_NO          TT_BIGINT,
    ROUTED_LIQUIDITY_QTY          TT_BIGINT,
    CNT_ROUTED_LIQUIDITY_QTY     TT_BIGINT,
    REMOVED_LIQUIDITY_QTY          TT_BIGINT,
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    CNT_AGENT_CHARGES          TT_BIGINT,
    CLEARING_CHARGES          BINARY_FLOAT,
    CNT_CLEARING_CHARGES          TT_BIGINT,
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    CNT_EXECUTION_CHARGES          TT_BIGINT,
    TRANSACTION_CHARGES          BINARY_FLOAT,
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    RECOVERED_CLEARING          BINARY_FLOAT,
    CNT_RECOVERED_CLEARING          TT_BIGINT,
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    CNT_RECOVERED_EXECUTION     TT_BIGINT,
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    CNT_RECOVERED_ORD_MGT          TT_BIGINT,
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    --, sum("MV_US_DATAMART"."CLEARING_CHARGES") as "m3"
    --, sum("MV_US_DATAMART"."EXECUTION_CHARGES") as "m4"
    --, sum("MV_US_DATAMART"."TRANSACTION_CHARGES") as "m5"
    --, sum("MV_US_DATAMART"."ROUTING_CHARGES") as "m6"
    --, sum("MV_US_DATAMART"."ORDER_MANAGEMENT") as "m7"
    --, sum("MV_US_DATAMART"."SETTLEMENT_CHARGES") as "m8"
    --, sum("MV_US_DATAMART"."COMMISSION") as "m9"
    --, sum("MV_US_DATAMART"."RECOVERED_AGENT") as "m10"
    --, sum("MV_US_DATAMART"."RECOVERED_CLEARING") as "m11"
    --,sum("MV_US_DATAMART"."RECOVERED_EXECUTION") as "m12"
    --,sum("MV_US_DATAMART"."RECOVERED_TRANSACTION") as "m13"
    --, sum("MV_US_DATAMART"."RECOVERED_ROUTING") as "m14"
    --, sum("MV_US_DATAMART"."RECOVERED_ORD_MGT") as "m15"
    --, sum("MV_US_DATAMART"."RECOVERED_SETTLEMENT") as "m16"
    --, sum("MV_US_DATAMART"."RECOVERED_TICKET_CHARGES") as "m17"
    --,sum("MV_US_DATAMART"."TICKET_CHARGES") as "m18"
    --, sum("MV_US_DATAMART"."VENDOR_CHARGE") as "m19"
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    1     1.05     0.94     
    2     1.07     1.47     
    3     2.04     1.8     
    4     2.06     2.08     
    5     2.09     2.4     
    6     3.01     2.67     
    7     4.02     3.06     
    8     4.03     3.37     
    9     4.04     3.62     
    10     4.06     4.02     
    11     4.08     4.31     
    12     4.09     4.61     
    13     5.01     4.76     
    14     5.02     5.06     
    15     5.04     5.25     
    16     5.05     5.48     
    17     5.08     5.84     
    18     6     6.21     
    19     6.02     6.34     
    20     6.04     6.75

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