Sun Microsystems

ETL tools are designed to save time and money by eliminating the need of ‘hand-coding’ when a new data warehouse is developed. They are also used to facilitate the work of the database administrators who connect different branches of databases as well as integrate or change the existing databases.

extraction of the data from legacy sources (usually heterogenous)
data transformation (data optimized for transaction –> data optimized for analysis)
synchronization and cleansing of the data
loading the data into data warehouse.

There are several requirements that must be had by ETL tools in order to deliver an optimal value to users, supporting a full range of possible scenarios.

Those are:
– data delivery and transformation capabilities
– data and metadata modelling capabilities
– data source and target support
– data governance capability
– runtime platform capabilities
– operations and administration capabilities
– service-enablements capability.

ETL TOOLS COMPARISON CRITERIA

The bietltools.com portal is not affiliated with any of the companies listed below in the comparison.

The research inclusion and exclusion criteria are as follows:
– range and mode of connectivity/adapter support
– data transformation and delivery modes support
– metadata and data modelling support
– design, development and data governance support
– runtime platform support
– enablement of service and three additional requirements for vendors:
– $20 milion or more of software revenue from data integration tools every year or not less than 300 production customers
– support of customers in not less than two major geographic regions
– have customer implementations at crossdepartamental and multiproject level.

We miss a few etl tools, but think generally. Of course in world we have lots of etl tools, but for now we couldnt investigate which one is we miss.

ETL TOOLS COMPARISON

The information provided below lists major strengths and weaknesses of the most popular ETL vendors.

IBM (Information Server Infosphere platform)

strongest vision on the market, flexibility
progress towards common metadata platform
high level of satisfaction from clients and a variety of initiatives

difficult learning curve
long implementation cycles
became very heavy (lots of GBs) with version 8.x and requires a lot of processing power

Informatica PowerCenter

most substantial size and resources on the market of data integration tools vendors
consistent track record, solid technology, straightforward learning curve, ability to address real-time data integration schemes
Informatica is highly specialized in ETL and Data Integration and focuses on those topics, not on BI as a whole
focus on B2B data exchange

several partnerships diminishing the value of technologies
limited experience in the field.

Microsoft (SQL Server Integration Services)

broad documentation and support, best practices to data warehouses
ease and speed of implementation
standardized data integration
real-time, message-based capabilities
relatively low cost – excellent support and distribution model

problems in non-Windows environments. Takes over all Microsoft Windows limitations.
unclear vision and strategy

Oracle (OWB and ODI)

based on Oracle Warehouse Builder and Oracle Data Integrator – two very powerful tools;
tight connection to all Oracle datawarehousing applications;
tendency to integrate all tools into one application and one environment.

focus on ETL solutions, rather than in an open context of data management;
tools are used mostly for batch-oriented work, transformation rather than real-time processes or federation data delivery;
long-awaited bond between OWB and ODI brought only promises – customers confused in the functionality area and the future is uncertain

SAP BusinessObjects (Data Integrator / Data Services)

integration with SAP
SAP Business Objects created a firm company determined to stir the market;
Good data modeling and data-management support;
SAP Business Objects provides tools for data mining and quality; profiling due to many acquisitions of other companies.
Quick learning curve and ease of use

SAP Business Objects is seen as two different companies
Uncertain future. Controversy over deciding which method of delivering data integration to use (SAP BW or BODI).
BusinessObjects Data Integrator (Data Services) may not be seen as a stand-alone capable application to some organizations.

SAS

experienced company, great support and most of all very powerful data integration tool with lots of multi-management features
can work on many operating systems and gather data through number of sources – very flexible
great support for the business-class companies as well for those medium and minor ones

misplaced sales force, company is not well recognized
SAS has to extend influences to reach non-BI community
Costly

Data integration tools are a part of huge Java Composite Application Platform Suite – very flexible with ongoing development of the products
‘Single-view’ services draw together data from variety of sources; small set of vendors with a strong vision

relative weakness in bulk data movement
limited mindshare in the market
support and services rated below adequate

Sybase

assembled a range of capabilities to be able to address a mulitude of data delivery styles
size and global presence of Sybase create opportunities in the market
pragmatic near-term strategy – better of current market demand
broad partnerships with other data quality and data integration tools vendors

falls behind market leaders and large vendors
gaps in many aspects of data management

Syncsort

functionality; well-known brand on the market (40 years experience); loyal customer and experience base;
easy implementation, strong performance, targeted functionality and lower costs

struggle with gaining mind share in the market
lack of support for other than ETL delivery styles
unsatisfactory with lack of capability of professional services

Tibco Software

message-oriented application integration; capabilities based on common SOA structures;
support for federated views; easy implementation, support andperformance

scarce references from customers; not widely enough recognised for data integration competencies
lacking in data quality capabilities.

ETI

proven and mature code-generating architecture
one of the earliest vendors on the data integration market; support for SOA service-oriented deployments;
successfully deals with large data volumes and a high degree of complexity, extension of the range of data platforms and data sources;
customers’ positive responses to ETI technology

relatively slow growth of customer base
rather not attractive and inventive technology.

iWay Software

offers physical data movement and delivery; support of wide range of adapters and access to numerous sources;
well integrated, standard tools;
reasonable ease of implementation effort

gaps in specific capabilities
relatively costly – not competitive versus market leaders

Pervasive Software

many customers, years of experience, solid applications and support;
good use of metadata
upgrade from older versions into newer is straightforward.

inconsistency in defining the target for their applications;
no federation capability;
limitated presence due to poor marketing.

Open Text

Simplicity of use in less-structured sources
Easy licensing for business solutions
cooperates with a wide range of sources and targets
increasingly high functionality

limited federation, replication and data quality support; rare upgrades due to its simplicity;
weak real-time support due to use third party solutions and other database utilities.

Pitney Bowes Software

Data Flow concentrates on data integrity and quality;
supports mainly ETL patterns; can be used for other purposes too;
ease of use, fast implementation, specific ETL functionality.

rare competition with other major companies, repeated rebranding trigger suspicions among customers.
narrow vision of possibilities even though Data Flow comes with variety of applications.
weak support, unexperienced service.

I used referenced web site : etltools.net

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Tag: Sun Microsystems