Oracle Golden Gate

Oracle GoldenGate: Architecture forReal-Time Replication

Fred LouisOracle Enterprise ArchitectOhio Valley Region

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Agenda

Introduction to Oracle GoldenGateTechnology OverviewArchitecture Deep Dive: Differentiators

Component ArchitecturePerformance & ScalabilityTransaction Integrity & ReliabilityHeterogeneity

Other Key FeaturesInstantiationSQL InterfaceEvent Marker InfrastructureETL Integration

3

GoldenGate: A Strategic AcquisitionBest-in-class leader in real-time data movement

• Complements existing Oracle products

• Data replication for heterogeneousdatabases

• Real-time information feeds to OracleBI/EPM

• Zero-downtime migrations and upgradesto Oracle Database and Applications

• Over 400 customers with 4,000+implementations across Fortune 500companies:

• Top 3 of 5 largest commercial banks

• Top 7 of 10 financial data servicescompanies

• Top 4 of 5 telecommunications providers

• Top 3 of 5 largest food & drug stores

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Performance

Extensible &Flexible

Reliable

Non-intrusive, low-impact, sub-second latency

Open, modular architecture - Supportsheterogeneous sources and targets

Maintains transactional integrity - Resilientagainst interruptions and failures

Oracle GoldenGate Technology Differentiators

Oracle GoldenGate provides low-impact capture, routing, transformation,and delivery of transactional data across heterogeneous environments in

real time

Key Differentiators:

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Oracle GoldenGate SolutionsEnterprise-wide Solution for Real Time Data Needs

• Standardize on SingleTechnology for MultipleRequirements

• Deploy for ContinuousAvailability and Real-timeData Access for Reporting /

BI

• Highly Flexible

• Fast Deployments

• Lower TCO & Improved ROI

Log Based, Real-

HeterogeneousSource Systems

EDW

EDW

Standby

(Open & Active)

ReportingDatabase

Time Change DataCapture

OGG

ETL

ODS

ETL

OperationalReporting

Real-time BI

QueryOffloading

DataDistribution

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DisasterRecovery, Data

Protection

Zero DowntimeMigration andUpgrades


Agenda




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TrailFile

PumpCapture Collector DeliverTrailFile

Online BackupsGG Initial Load3rd party Tools

Oracle GoldenGateSimple, Flexible Instantiation

Transaction Logs

LAN / WAN /Internet

(TCP/IP)

LAN / WAN /Internet

SourceDatabase

TargetDatabase

CaptureSource Trail Target Trail

Deliver

How GoldenGate Works: Modular “Building Blocks”

Capture: Committed changes are captured (and can befiltered) as they occur by reading the transaction logs.

Trail files: Universal data format enables heterogeneity.

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LAN / WAN /Internet

SourceDatabase

TargetDatabase




Route: No distance constraints via TCP/IP. Compression & encryption.

Delivery: Applies transactional datawith guaranteed integrity.


Deliver

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LAN / WAN /Internet

SourceDatabase

TargetDatabaseBi-directional




Route: No distance constraints via TCP/IP. Compression & encryption.

Delivery: Applies transactional datawith guaranteed integrity.


Source TrailTarget Trail

Deliver

DeliverCapture

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Databases O/S and Platforms

Capture: Oracle

DB2 Microsoft SQL Server Sybase ASE Teradata Enscribe SQL/MP SQL/MX

Delivery: All listed above, plus:

MySQL, TimesTen, Netezza,

Greenplum, HPNeoview and any ODBC compatible

databases ETL products JMS message queues

Windows 2000, 2003, XP

Linux

Sun Solaris

HP NonStop

HP-UX

HP TRU64

HP OpenVMS

IBM AIX

IBM z/OS

Oracle GoldenGate Heterogeneity SupportsApplications Running On…

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Oracle GoldenGate Topologies

UnidirectionalQuery Offloading

BroadcastData Distribution

Bi-DirectionalLive Standby or

Active-Active for HA

Integration/ConsolidationData Warehouse

Peer-to-PeerLoad Balancing,

Multi-Master

CascadingData Marts

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Agenda




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Architecture Components (Processes)

CAPTURE

Log-basedVAM-basedLocal/Remote QueuingFilteringParallel CoordinationLocal/Remote*

PUMP

FilteringLocal/RemoteTCP/IPCompressionEncryption

DELIVERY

Native database APIODBCBatched OperationsFilteringTransaction/Operations GroupingParallel CoordinationLocal/Remote*

MANAGER

Queue (Trail) ManagementProcess Management (Dynamic)Monitoring and Administration (Lag reports)Reporting (Events, Errors, Thresholds)Receive/Route requests from UI

On-disk Components

Trail FilesCheckpoint Files (Capture, Pump, Delivery)Data Definition Files (SOURCEDEFS/TARGETDEFS)Configuration FilesDiscard FilesReport/Log FilesBinaries

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TargetSource

Oracle GoldenGate ComponentsCommunications and Startup

SourceDatabase

TCP/IP

Process Start

Shared Memory (for Monitoring)

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TargetDatabase

Capture DeliveryPumpSource Trail Target TrailCollector

GGSCIInteractive

InterfaceManager Manager

GGSCIInteractive

Interface

Network

TargetSource


SourceDatabase

TCP/IP

Process Start


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TargetDatabase


GGSCIInteractive


GGSCIInteractive

Interface

Network

TargetSource


SourceDatabase

TCP/IP

Process Start


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TargetDatabase


GGSCIInteractive


GGSCIInteractive

Interface

Network

TargetSource


SourceDatabase

TCP/IP

Process Start


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TargetDatabase


GGSCIInteractive


GGSCIInteractive

Interface

Network

TargetSource


Network

SourceDatabase

TCP/IP

Process Start


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TargetDatabase


GGSCIInteractive


GGSCIInteractive

Interface

Oracle GoldenGate Capture

Capture

Database Access

VAMAPI/Redo

API

(log readerinterface)

MetadataManager

SQLInterface

FilteringFormatting Transformationand Mapping

TransformationEngine

Serializationand Routing

Messaging Subsystem

Checkpoint Manager

Memory Manager

TransactionLog Reader

GoldenGateTrail Files

GoldenGateEvent Log

GoldenGateCheckpoint

File

Parser

GoldenGateParameter

File

TransactionLogs

Commandand

Control

GoldenGateCommand

Interpreter

MetadataManager

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SourceDatabase

Oracle GoldenGate Delivery

Delivery

Read API

SQLInterface

Database Access

FilteringFormatting Transformationand Mapping

TransformationEngine

SQLGeneration

Messaging Subsystem

Checkpoint Manager

Memory Manager

GoldenGateTrail

Reader

GoldenGateEvent Log

GoldenGateCheckpoint

File

Parser

GoldenGateParameter

File

GoldenGateCommand

Interpreter

Commandand

Control

MetadataManager

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GoldenGateTrail Files

TargetDatabase


Agenda




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Differentiator: Performance and ScalabilityGoldenGate Capture

Log-based change data captureHigh volume

Low overhead

Decoupled architectureMultiple capture processes may be usedto scale, but generally not required

Possible to split “hot” tables into aseparate capture process

Filtering and compressionUnnecessary change data is discarded immediately

Updates and deletes are “compressed” by default

Before images are discarded by default

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Differentiator: Performance and ScalabilityGoldenGate Delivery

Decoupled architectureMultiple delivery processes may be used to scale

Possible to split “hot” tables into a separate delivery process

Possible for multiple delivery processes to split the work for asingle table

Transaction groupingSmall transactions are grouped by default to reduce commitoverhead

Record batchingRecords are batched by table and operation within a singleSQL execution

Automatic reordering of batches

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Agenda




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Differentiator: Transaction Integrity

Transaction boundariesRecorded in GoldenGate trail file

Transactions ordered in commit sequence

Boundaries adjusted automatically due torecord filtering or trail splits

Transaction integrityCheckpointing and recovery are based ontransaction boundaries

Original commit sequence is maintainedby the delivery process

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Differentiator: Reliability

Decoupled architectureIndividual processes can be restarted automatically

Tolerance to network outages (configurable)

RecoveryRecovery ensures that no operations are skipped orduplicated after failure of any kind

Recovery of the Capture process is more involved thanrecovery the Delivery process

Although GoldenGate processes are completely decoupled,the Delivery process must be aware of a recovery performedby the Capture process or pump

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GoldenGate Checkpointing

Capture, Pump, and Delivery save positions to a checkpoint file so they canrecover in case of failure

CaptureCommit Ordered

Source TrailSourceDatabase

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Begin, TX 1

Insert, TX 1

Begin, TX 2

Update, TX 1

Insert, TX 2

Commit, TX 2

Begin, TX 3

Insert, TX 3

Begin, TX 4

Commit, TX 3

Begin, TX 3

Insert, TX 3

Commit, TX 3

Start of Oldest Open (Uncommitted)Transaction

Begin, TX 2

Insert, TX 2

Commit, TX 2

Delete, TX 4Current Read

Position

CaptureCheckpoint

CurrentWrite

Position



Capture PumpCommit OrderedSource Trail

Commit OrderedTarget TrailSource

Database

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Begin, TX 1

Insert, TX 1

Begin, TX 2

Update, TX 1

Insert, TX 2

Commit, TX 2

Begin, TX 3

Insert, TX 3

Begin, TX 4

Commit, TX 3

Begin, TX 2

Insert, TX 2

Commit, TX 2

Begin, TX 3

Insert, TX 3

Commit, TX 3

Begin, TX 2

Insert, TX 2

Commit, TX 2



Position

CaptureCheckpoint

CurrentWrite

Position

CurrentRead

Position

PumpCheckpoint

CurrentWrite

Position



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Capture DeliveryPumpCommit OrderedSource Trail

Commit OrderedTarget TrailSource

DatabaseTarget

Database

Begin, TX 1

Insert, TX 1

Begin, TX 2

Update, TX 1

Insert, TX 2

Commit, TX 2

Begin, TX 3

Insert, TX 3

Begin, TX 4

Commit, TX 3

Begin, TX 2

Insert, TX 2

Commit, TX 2

Begin, TX 3

Insert, TX 3

Commit, TX 3

Begin, TX 2

Insert, TX 2

Commit, TX 2



Position

CaptureCheckpoint

CurrentWrite

Position

CurrentRead

Position

PumpCheckpoint

CurrentWrite

Position

CurrentRead

Position

DeliveryCheckpoint


Agenda




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Differentiator: Heterogeneity

Core InfrastructureCore product components are utilized for all databases

Canonical trail file format

Canonical metadata definitions

Automatic mapping of common datatypes

Capture MethodsLog scraping (direct file access)

Database built-in log interface (transaction log API)

Intercepts/exits

Vendor-provided access modules

Delivery utilizes native database interfaces

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Differentiator: HeterogeneityOracle Capture

Support for Oracle RAC

Support for ASM

Support for index-organized tables(IOTs) with overflow

Support for clustered tables

Support for object tables

Support for object types (UDTs)

Support for DDL operations

Archived log only (ALO) mode

Off-platform capture(LOGSOURCE)

Multi-threaded capture

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Capture


Trail

Archived Log Online Log

OCI/Oracle Net

Capture


Trail

Backups Transaction Log

Differentiator: HeterogeneityMicrosoft SQL Server Capture

Ability to capture from nativebackups

Coexistence with SQL ServerReplication

SQL Server Replicationcomponents are not required

Support tables with no unique key(not supported by SQL ServerReplication)

Support for computed columns

Support for identity columnsODBC

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Differentiator: HeterogeneityDB2 LUW Capture

Support for Multi DimensionalClustered Tables (MDC)

Support for Materialized Query

Capture


Trail


DB2 CLI

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Tables (MQT)

Support for data compression(tablespace)

DB2READLOG

Differentiator: HeterogeneityDB2 z/OS Capture

Runs under Unix System Services(USS)

Support for data sharingenvironments

Automatic EBCDIC/ASCIItranslation

Support for EBCDIC, ASCII, andUnicode encoded tables

Support for data compression(tablespace)

Capture


Trail


DB2 CLI

Unix System Services (USS)

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IFI IFCID 0306

Differentiator: HeterogeneityHP NonStop Capture (Enscribe and SQL/MP)

Logger used for non-TMF (non-audited) enabled applications

ARLIB2 interface utilized byAUDSERV process

HP Blades Support

Support for TCP/IP and EXPANDnetworks

Fast block-based unload

Support for network distributedtransactions

Support primary key updates fromopen systems

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Capture


Trail

TMF Audit Log

ARLIB2

TMF Audit Dump

AUDSERV

Logger

Intercept

Embedded SQL

Differentiator: HeterogeneityHP NonStop Capture (SQL/MX)

Runs under Open SystemsServices (OSS)

ARLIB2 interface utilized by

Capture


Trail

TMF Audit Dump TMF Audit Log

Embedded SQL

Open Systems Services (OSS)

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VAMSERV process

Based on open systems coreinfrastructure

ARLIB2

VAMSERV

Differentiator: HeterogeneityTeradata Capture

Teradata-provided access module(TAM)

TAM is a shared library dynamicallylinked at runtime

CDC runs on Relay ServicesGateway (RSG) vprocs

Max protection mode and maxperformance mode

Full Unicode support for Windowsand Linux

Support for DDL operations

Support for LOB and UDTdatatypes

Support for identity datatypes

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Replication Group

RSG

vproc

CDC

Capture

RSG

vproc

CDC

Capture

TAM

Unsorted TrailSort/Pump

Commit OrderedTrail

ODBC

Maximum Protection Mode

Differentiator: HeterogeneityDelivery

Native APIs

Flat file integration for datawarehousing appliances (Netezza

and Greenplum)

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Delivery

Target DatabaseDeliveryCommit Ordered

Trail

Transaction grouping

Transaction splitting (if necessary)

Array operations

Integration with load utilities

Native Interface


Agenda


Performance & ScalabilityTransaction IntegrityReliabilityHeterogeneity


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GoldenGate Instantiation

Start change data capture on Source DatabaseCurrent source Commit Sequence Number (CSN) is 222

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Capture PumpCommit Ordered

Source Trail

Commit OrderedTarget Trail

SourceDatabase

TargetDatabase

Current CSN is222 CSNs 222

through …

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Capture PumpCommit Ordered

Source Trail


SourceDatabase

TargetDatabase

Take Backupas of CSN

245

Apply Backupas of CSN

245

CSNs 222through …


Wait for any open transactions to close

Use a backup (or export/import) to copy source to target as of a consistency pointCurrent source Commit Sequence Number (CSN) is 245

Consistent asof CSN 245Current CSN is

245

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Capture DeliveryPumpCommit Ordered

Source Trail


SourceDatabase

TargetDatabase

CSNs 222through 356

Delivertransactions

after CSN 245

Current CSN is356


Start delivery at or after given backup CSN (245 in this case)Current source Commit Sequence Number (CSN) is 356

Once Delivery is current the source and target are in sync

Consistent asof CSN 356

In Sync!

Take Backupas of CSN

245

Apply Backupas of CSN

245


Agenda




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Other Key FeaturesSQL Interface

Standalone executionAdd parameter to the root level of a parameter file

Executes independently of a table or map statement

Execution order is based on the order it appears in the parameter file

Execute onceSQLEXEC “call prc_job_count ()”

SQLEXEC “truncate table scott.target_table”

SQLEXEC “SET TRIGGERS OFF”

Execute at user-defined intervalSQLEXEC “call prc_job_count ()” EVERY 30 SECONDS

Execute on application exitSQLEXEC “call prc_job_count ()” ONEXIT

SQLEXEC “SET TRIGGERS ON”

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Other Key FeaturesSQL Interface

Inline executionAdd a clause to the table/map statement in the parameter file

Executes for records that meet the map condition

The procedure or query can accept input parameters and returnoutput parameters

Executed within the target database transaction context

Execute once (always execute by default)MAP sales.cust, TARGET sales.cust_extended, &

SQLEXEC (SPNAME lookup, PARAMS &

(long_name = birth_state),EXEC ONCE), &

COLMAP (custid = custid, birth_state_long = lookup.long_name);

Execute once per transactionMAP sales.cust, TARGET sales.cust_extended, &

SQLEXEC (SPNAME lookup, PARAMS &

(long_name = birth_state), EXEC TRANSACTION), &

COLMAP (custid = custid, birth_state_long = lookup.long_name);

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Agenda




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Capture DeliveryPumpSource Trail Target Trail

SourceDatabase

TargetDatabase

Other Key FeaturesEvent Marker Infrastructure

INSERT/UPDATE/DELETE Values(…) in “EVENT TABLE”

INSERT/UPDATE/DELETE Values(…) in “DATA TABLE”

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EVENTPROCESSING

ReportsEvent

Log CheckpointDiscard

File

EVENTPROCESSING

ReportsEvent

Log CheckpointDiscard

File

Other Key FeaturesEvent Marker Infrastructure

Currently supported events…STOP – Graceful stop.

ABORT – Immediate exit.

FORCESTOP – Graceful stop or abort.

IGNORE – Ignore record or transaction.

DISCARD – Write record to discard file.

LOG – Log a message to the report, error and systems event files.

REPORT – Generate a report file.

ROLLOVER – Roll the capture trail file.

SHELL - Execute a shell command.

TRACE– Send trace info to file.

CHECKPOINT – Cause a checkpoint operation

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Agenda




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datafiles

Other Key FeaturesETL Integration

Integration via:Staging tablesFlat filesMessaging

ETL

datadata

filesfiles

Capture Trail File

Integration via Staging Tables

Delivery

Integration via Files

Delivery

ETL

OLTPIntegration via Messaging

Delivery

ETL

JMS / MoMQueue or

Topic

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JMS

XML

XML

Capture

tx

txlogstxlogs

logs

Other Key FeaturesDelivery to JMS (Java Message System)

GoldenGate captures new transactions from source systems andpublishes to:

JMS Queue – point-to-pointJMS Topic – publish/subscribe

Writes as:Transactions (with guaranteed integrity)Individual DB Operations (insert, delete…)

Trail

DataPump

JMSUE

sourcedefs

(metadata)

XML

Queue or Topic

XMLThird Party

SystemsPartners

CustomersApplications

etc

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Other Key FeaturesDelivery to Flat File

Delimited/fixed format data file and control file

55

Time/size-based rollover

One file, or one tableper file

Sun/Oracle Information

http://tinyurl.com/sunorcl

or

oracle.com

http://tinyurl.com/sunorcl#256,5,myslide5

Oracle GoldenGateOther Oracle Products..

©2009 Oracle Corporation

HighAvailability

GoldenGate is Oracle’s strategicreplication solution

Oracle GoldenGate

Streams continues to be asupported Oracle Database feature

Combine both technologies fortotal data protection and

information distribution

58

Oracle Streams

Active Data Guard

Oracle GoldenGateOther Oracle Products..

59

Oracle DataIntegrator EE

Real-TimeDataIntegration

Bulk Data Movementand Transformation

• Fastest E-LT Solution• Optimized SET-based transformation

for high volume transformations• Data lineage for improved

manageability• Integrates to Data Quality

Oracle GoldenGate

• Requires ELT/ETL for complextransformationCombine both technologies for

comprehensive data integration

©2009 Oracle Corporation

Real-Time Data Integrationand Replication

• Fastest real-time solution• Sub-second latency for real-time feeds• Guaranteed delivery eliminates data

loss• Eliminates down-time for migration and

upgrades• Least intrusive to source systems

GoldenGate Information

http://oracle.com/goldengate

http://oracle.com/goldengate#256,5,myslide5

Customer CaseStudies

Oracle GoldenGate PROVIDES• Real-time data integration from Siebel

CRM on Oracle to central TeradataWarehouse

• 1,500 service agents log 600,000customer calls p/day

• GoldenGate moves 150-200 millionrecords per day with 1.5 second latency.

RESULTS• Significantly reduced churn by 25%• All business units have access to real-

time business data.

COMPANY OVERVIEWDIRECTV is a $17 billion provider ofsatellite-based television services.DIRECTV’s 7,500 employees operate thecompany’s broadcast centers, monitorsatellites, and deliver service to about 17million U.S. and over 5 million LatinAmerican customers.

CHALLENGES / OPPORTUNITIES

• Maintain high quality customerservice in competitive market –reduce churn!

• Centralize customer information for asingle view to support sales,marketing, support & field service

• Significantly reduce data latency incentral data warehouse for allqueries & reports – edict for < 15minutes!

Customer Case StudyReal-time Data for Better BI and Reduce Customer Churn

Oracle GoldenGate PROVIDES• Support for high availability & disaster

tolerance across Oracle production sites• Zero-downtime system migration and

upgrade• Enable active data warehouse roll-out in

90 days with real-time data feeds• Complements Oracle Data Integrator for

data transforms on target

RESULTS• Customer analysis now done in minutes,

rather than days• Dashboard reports using real-time data

for P&L & customer profitability• Google Adwords adjusted based on real-

time data reports• Ranked #4 in customer service by

National Retail Federation

COMPANY OVERVIEWOverstock.com is an online “closeout”retailer offering high-quality, brand-namemerchandise, including bed-and-bathgoods, home décor, kitchenware,watches, jewelry, electronics andcomputers, sporting goods, apparel anddesigner accessories among otherproducts at discount prices


• Better understand customerpurchasing behavior

• Provide timely information to supportmarketing, merchandising andoperational decisions

• Improve shopping databasereliability and uptime

Customer Case StudyReal-time Data Integration for Improved Intelligence

COMPANY OVERVIEW

A world leader in the travel marketplace,Sabre Holdings merchandises and retailstravel products and provides distributionand technology solutions for the travelindustry


• Optimize OLTP system performance –offload all query activity

• Reduce TCO via platform changes andsegment “lookers” from “bookers”

• Handle growing data volumes andsupport heterogeneous systems overlife-cycle of Air Travel ShoppingEngine (ATSE)

• Maintain data integrity across allsystems

Customer Case StudyQuery Offloading Provides Continuous Availability and Saves Millions $

Oracle GoldenGate PROVIDES• Supports 1.6TB of data movement per

day to read-only servers• Source– Oracle 10g | Target – MySQL• Current plans to migrate to Oracle 11g on

both source and target.

RESULTS• 80% TCO Reduction – Millions $$ saved

“Bookers vs Lookers”

Customer Case StudyHigh Availability of Manufacturing Application Meets SLAs

COMPANY OVERVIEW

Research In Motion (RIM) is a leadingdesigner, manufacturer and marketer ofinnovative wireless solutions for theworldwide mobile communicationsmarket.


• Experiencing exponential growth andstringent carrier SLA’s to meet growingdemand for Blackberry devices

• Maintain continuous availably of criticaldata across all global data centers (4)for manufacturing plants

• All plants see same data and can movedevices based on regional demand

Oracle GoldenGate PROVIDES• 5 way Active-Active configuration provides

same data across worldwide plants• Improved system performance & response

times• Zero downtime DB migration to new version

using phased approach• Real-time data integration for new Exadata

data warehouse for up-to-minute reports

RESULTS• All of manufacturing from VP to engineer

on plant floor can access most up todate info.

Continuous Availability Use Case

24x7 Fraud Detection & Payment Processing for Blue-Chip Retailers

COMPANY OVERVIEW

Retail Decisions (ReD) is a payment cardissuer and a world leader in card fraudprevention and payment processing. Aspecialist supplier to the paymentsindustry worldwide. Its blue-chip


Typical Service Level Agreementsdictate 99.95% availability & aggressivesub-second average response times

Must ensure quick, massive scalability

High cost of downtime -- ReD’s clientslose millions of dollars per hour

Global clients; data centers on 4continents

Oracle PROVIDES:Fraud Detection (ReDShield) using Oracle 9i

and 10g databasesU.S. Payment Processing system, using SQL

Server databases – also supports dataaccess for Web apps and Reporting

international clients come from theglobal telecommunications, retail, travel,petroleum, banking and the broader e-commerce sectors

RESULTS “Lightning Fast” implementation Time to recover: ZERO minutes Reduced database license &

infrastructure costs

"We needed a mega-scalable architecturecapable of handling increasing e-commercetraffic, while meeting our customers'stringent SLAs.” - Chris Uriarte, CTO

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Continuous Availability Use Case

Siebel Application Upgrade & Database Migration

COMPANY OVERVIEW

HSN is an interactive lifestyle networkand retail destination, offering a curatedassortment of exclusive productscombined with top brand names. HSNincorporates experts, entertainment,inspiration, solutions, tips and ideas toprovide an entirely unique shoppingexperience for its customers.


Eliminate downtime during major Siebelupgrade from version 6.2 to 8.0

Additionally, upgrade Oracle database 8ito 10g with no downtime

Conduct a phased migration approachto allow time for training & testing

Minimal business disruption

Oracle PROVIDES:Continuous availability during major

migration project.Active-Active configuration provided data

synchronized across old & new systemsProvided upgrade & downgrade logic

between old and new Siebel versions

RESULTS Enabled migration of 1500+ users to new

system Reduced risk with live parallel running of

both old and new Zero downtime No disruption to the business &

continuous order processing on missioncritical system

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Oracle Golden Gate

Documents

oracle database

oracle goldengate simple

source database target

goldengate works

delivery of transactional

realtime data movement

realtime data access

universal data format