TrustRadius
OracleInside review on ODW.2019-09-18T23:57:27.018ZWe use Oracle Data Warehouse for integrating all the dist data that gets generated from ERP systems to the warehouse and then use the normalized data for reporting purposes. We use Oracle BI reporting for the whole organisation. We deliver reports for all the verticals in our organisation starting from financials, HR, procurement, ridership and so on. There is also an other ERP that is called Maximo and the transaction data gets processed in Oracle Data Warehouse.
Reporting is one of the major requirements across the org and Oracle Data Warehouse helps us keep the history and dimensionality and scaling.,Rending data from all different dimensionalities
Sstable, does not hang up
Ease of use,Transformation of data
Built-in analytics
Seamless integration with cloud,9,Cumbersome sometimes due to the level of data transformation required to load the data ware house tables,Not yet, but I'm interested in Oracle user groups,IBM Maximo, Oracle PeopleSoft HCMMurali VaturiNot the most affordable data warehousing solution2019-10-02T17:41:58.397ZOracle Data Warehouse is being used across our entire organization. Although each department in our organization has its own individual use cases for maintaining a data warehouse, the overall problems that are being solved are the same. We are using Oracle Data Warehouse for business intelligence related queries, finding trends in periods of time using all the historical data, and for deep data exploration.,Quick and easy deployment. There is no hassle in setting up software and maintaining hardware.
Highly available and scalable. Accessing the data warehouse is easy, and it can scale up based on the data size requirements.
Autonomous functionality. With the help of machine learning, autonomous data warehousing reduces the amount of time spent managing it.,Customer support isn't the best out there. We usually have to wait about an hour to get some form of assistance.
Pricing is a bit higher than many of its competitors such as AWS Redshift.
Tweaking features requires dedicated staff. Software is fairly advanced. Would be difficult to use for newcomers.,6,We had to hire dedicated staff to manage the data warehouse. Negatively impacted ROI.
Initial price dented the company budget. It took twice as much time to make it all back.
It is not a cloud solution, so purchasing hardware to support Oracle Data Warehouse was expensive as well.,No,Amazon Redshift,Oracle EPM Cloud, Oracle HCM Cloud, Oracle ERP CloudVerified UserOracle Data Warehouse is the 800 Pound Gorilla2019-01-04T19:28:48.037ZWe've recently adopted Exadata as our primary DW solution. It allows us to quickly store and query lots of data. The data is generally written in overnight batches and is constantly queried 24x7. It even supports some online business decisions to our customers. We use it company-wide. I am an administrator of the database, as well as a SQL Programmer.,Handles workloads like a champ.
Uses state-of-the-art analytic functions and allows for quick, easy SQL.
"Secret Sauce" integrates the hardware and the software for faster I/O.
Supports thousands of concurrent users.,We had issues converting a legacy DW (with its existing indexes, etc) over to the new DW hardware. Given the memory-intensive resources, not all indexes are advised. Traditional query tuning methods do not work. You have to re-learn some tuning tactics.
Given the number of features it has, it is far more complex to administer. Requires trained staff to support.
Support in these areas is generally poor. Oracle is, sadly, no exception.
I HATE the current push to the cloud. Seems like a gigantic money-grab.,7,We are just now opening up a Business Intelligence area in our company. In general, the business seems in love with the quick access to data.
Analytics and predictive functions, much of which is done with the power of the database, have helped us stay ahead of our competition.
This is an expensive and fantastic product all at the same time. Don't be fooled that administration costs will go down when you implement this. I believe it requires as much (or more) administration as anything out there.,Yes,Microsoft SQL Server, DB2 and MySQLVerified UserMy Oracle DW Review2018-08-02T18:04:22.691ZThe Oracle Data Warehouse is a robust platform being used by many departments for Data Storage, Reporting from Stored Data, & also to build Marketing products. Mostly used for Analytics, as it is easy to query the data & stores a huge amount of data in a pre-processed form required for analytics of a variety of business aspects.,Scalable for the storage of very large data.
Simple queries to pull down the data compared to transactional databases.
Compatibility with variety of other tools, & industry support.,Not effective if we compare it with current Big Data applications.
Other warehouses are better for parallel processing.
Prices are high for few functionalities which are supposed to be bought separately.,7,Very cost effective for large databases.
Very fast results on simple queries.
Analytical functionalities are of wide range, which makes it very cost effective.
For smaller businesses, it might be a great asset.
Some features are supposed to be bought separately, so one needs to consider this before licensing with Oracle DW.,No,Hadoop and Tableau Online,Hadoop, Tableau Online, Cloudera EnterpriseKartik ChavanOracle Data Warehouse is a safe but good choice for in-house clinical data warehouse2018-08-07T16:08:05.410ZMy company is a non-profit organization of a healthcare system. We adopted Oracle Data Warehouse for building a clinical data warehouse, to support quality improvement and clinical research. Our hospitals and clinics run electronic health record systems that capture clinical data through patient care; the Data Warehouse is used to store them in a permanent manner. Once stored, the data can be normalized and standardized to be used by clinical departments, clinical champions, and researchers. There were a number of use cases in the Data Warehouse, but the major two were monitoring of clinical operation and improvement of clinical workflow.,Oracle Data Warehouse is a well-known and already validated product. Its performance, technical support, documentation, online community, and sustainability is the best among the area.
It is easy to find and hire good data developers, data architects, and analysts who specialize in Oracle Data Warehouse.
It is easy to develop a financial plan based on the product, as its licensing is systematic. Also, the product's scalability is well developed with licensing policy and it makes it easier to flexibly plan budgets as we need more functionalities and services.,It is very expensive product. But not to mention, there's good reasons why it is expensive.
The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.,8,We built an enterprise analytics framework based on the Oracle Data Warehouse, which is a system-wide focus and coordination of people, processes, and technologies that ensures important data assets are leveraged. This led to better decision making, resulting in increased business and clinical value (better outcomes, lower costs, healthier people.)
Through the framework, several benefits were presented quantitively or qualitatively: reduced variation in analytics practice, identification and elimination of duplicated efforts, and removal of unnecessary siloes in information within the enterprise.
The Data Warehouse is well harmonized with advanced analytics tools in our organization such as visualization (Tableau, Cognos,) statistical tools (R, SAS, SPSS), and machine learning (Ayasdi).,No,Microsoft SQL Server,Microsoft SQL Server, MySQL, BizFlow BPM SuiteVerified UserGreat performance for large databases2017-12-12T17:16:32.477ZThe Oracle Data Warehouse provides a robust data warehousing platform that is used across my entire organization. Oracle Data Warehouse is directly used by a wide range of departments from analytics and data sourcing, to finance and marketing. For an organization that deals with huge volumes of data, Oracle DW is a great option for warehousing.,Running analytics queries is made simple on Oracle DWH.
Great support for large databases.
Even while dealing with large volumes of data, the compression capabilities of Oracle DWH ensure that most use cases are scalable.,While the Oracle Data Warehouse provides top notch performance, the pricing options make it unaffordable for most small and medium businesses.
Most add-on features that businesses can’t do without are priced separately.
Customizability options are limited. Cannot modify most features to suit the custom needs of Business.,9,Faster execution of queries, making analytics available quicker.
Easy integration with other tools on top of Oracle DWH saves time and effort for tech teams.
Increases licensing costs for a business significantly.,No,Oracle BI Foundation Suite, Oracle Exadata Database Machine and IBM Cognos,IBM Cognos, Oracle BI Foundation Suite, LookerVerified UserComplete Data Warehouse Solution - ODW2017-11-01T18:54:46.909ZOracle Data Warehouse were used for one of our clients to act as an analytics database that stores transactional data like Financial Transaction relation information, Customer Centric Information, Sales and Purchase related Information, Projects and Service related information. The information stored in the Oracle Data Warehouse would help the key business users to pull reports through data cubes which would help them in analyzing different aspects of business. So based on the data points received and the key indicators set, it would enable the business to make informed decisions to grow their business. One example would be to identify customers sales which could be seasonal in nature, so by understanding the patterns of their previous placed order the business can vouch for the customer next time when similar conducive scenario is in place.,Oracle Data Warehouse is scalable and reliable.
Seamless integration with oracle database's using synchronous and asynchronous connectivity thus giving real time data representation to the key business users.
Good performance and high availability of data from the Data Warehouse for analytical reporting.,Like any data warehouse, one needs to conduct a cost benefit analysis to see whether the IT efforts required for implementation of the data warehouse and the cost involved in maintaining the data would be adding monetary values to the organization.
Data Ownership could be one concern where the management needs to decide who would be having what access to the Data Warehouse. So proper configuration of the access would be required, so that there is no breach in data ownership.,7,It helped our clients to have reliable and quick data points and key indicators at their finger tips, which helped them in informed decision making.
The Extract, Transform and Load i.e. the ETL concept is quite seamless to implement.,SQL Data Warehouse and Teradata Data Warehouse ApplianceVerified UserBuild Your Data Warehouse Using Oracle2016-07-20T19:06:06.791ZMy organization designs, builds and maintains a data warehouse for various clients both from public and private sectors. Based on the individual client needs the data warehouse is being used both at the department level and as well as at the entire organization level. The data warehouse is being used to answer and provide insights to the organizations' various activities. Using the data warehouse the organizations are able to derive advanced analytic analysis and in turn increase fraud detection, efficiency and much more.,Able to handle very large data sizes efficiently from a performance, high availability and manageability perspective. This is accomplished through the Oracle Partitioning functionality. Partitioning allows large segments (tables, IOT index-organized tables, indexes) to be broken into smaller segments at the physical layer but treated as a whole at the logical layer.
Provides support for dual-format architecture through Oracle In-Memory functionality. Without any change to application code one can obtain in-memory performance. This functionality enables us to have the tables represented in both the row format and the column format using in-memory format. This is a huge boost for BI/analytic queries since the Oracle optimizer is able to intelligently choose the appropriate format.
Provision to materialize a subset of table data or table joins. This is through materialized views and the optimizer will rewrite the query against the base tables to make use of this materialized view. This provides a huge performance boost and is critical in VLDBs as in a data warehouse. The query rewrite is fully transparent to users.
Provides multiple compression capabilities. This is very useful not only for deducing the storage foot print but as well as increase performance at different layers of the infrastructure including query performance. The compression functionality can be applied against both structured and unstructured data.
With the advent of Engineered Systems (Exadata, Database Machine, SuperCluster) there are specific features and functionalities that can further boost the Oracle data warehouse. These are related to consolidation, Smart Scan, Storage Indexes, EHCC (Exadata hybrid columnar compression) and much more.
RAC - Real Application Clusters (with 2 or more nodes) provides functionality for high availability, performance and scaling as the work load increases. The parallelism is provided both within a node and as well as across nodes. If for any reason a node goes down the data warehouse is still available through other nodes and the running queries are transparently failed over to the surviving nodes.,For the query rewrite related to the materialized views the optimizer at times goes against the base tables. There is room for improvement for the optimizer to make more intelligent choices. There does exist functionality to identify the reason why the optimizer failed to do the rewrite of the original query. This can be further expanded.
On the storage indexes currently there is limitation of only 8 columns. In addition Oracle decides which of the columns are chosen as part of the storage index. It would be nice to see if both of these are addressed in future versions/releases.
Some of the features are 'Options' which would increase the overall licensing cost and is an important factor for certain class of users/clients. It would be nice to see if at least some of the options are standard functionality.,9,Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.Suresh MuddaveerappaOracle based BI Solution with Oracle Data Warehouse2016-07-26T13:49:02.128ZCurrently, we are using Oracle Data Warehouse for service analytics, sales order management and install base module analytics. Business users are using it to solve their business problems where they want to analyse & understand different service contracts made by company, products orders, sales in different territories.,It provides ease, feasibility and flexibility to use Oracle out of box pre-built solutions with different verticals and horizontals of industries such as Insurance Analytics, Financial Analytics, Sales and Marketing Analytics, etc.
It's always easy to use Oracle Data Warehouse where you have Oracle EBS and other Oracle Transactional Systems. Since it provides pre-built data models based on various standard BI solutions (in ERP & CRM Areas).
With various customers and businesses using Oracle dbs for transactional systems, it is always easy to recommend oracle data warehouse in numerous beneficial ways like cost, ease for implementation and maintenance, support for various top Oracle BI tools efficiently, etc,Query Performance in Oracle Data warehouse compared to other parallel execution dbs is a little low. But given a chance on concentration with good Oracle DB design can overcome those problems in warehouse.
For Big Data Implementation, it's not very cost effective compared to other big data solutions that are based on Hadoop systems and light weight BI Tools.
It's more preferable with Dimensional Modeling compared to 3NF models datawarehouse.,9,It has always fulfilled BI solutions to all Business Problems in various sectors like Financial, Insurance, Pharma, Communication, etc
Its always easy to recommend the Oracle BI & Data Warehouse Solution with different transactional source systems based out of Oracle,SAP,Peoplesoft, JD Edwards because of proven out of box solutions in Datawarehouse in terms of pre-built ETL, reports & dashboards.
Now suggesting and recommending the Oracle BI & Datawarehouse solution is a toss-up based on where it's being considered, since it can not be possible to always recommend due to lot of various factors and systems involved in entire IT architecture.,Teradata Data Warehouse Appliance, Cloudera Enterprise and IBM Netezza Data Warehouse Appliances,Oracle BI Foundation Suite, Tableau Desktop, Informatica Master Data ManagementHemant Prabhakar PatilData Warehousing with a hint of OLTP2016-07-22T21:47:44.398ZOracle Data Warehouse was used at a previous company to be the central data warehouse. Analysts connected to it to run queries on all types of different data like customer, transaction, and behavior data. It was also used to power reporting being done by the business.,Strong developer toolset. e.g. PL/SQL, partitioning, compression, etc.
Rich syntax
Rock solid reliability
Compatibility with other tools
Industry support,More automated functionality (e.g. automated table analysis, better automated partitioning)
Support for shared nothing architecture
Steep learning curve,7,Allowed the organization to conduct more thorough data supported analysis
Provided insights that were previously not available to the business
Allowed the organization to become more data driven,Teradata Data Warehouse Appliance, Amazon Redshift and MySQL,MySQL, Amazon Redshift, Teradata Data Warehouse Appliance, Hadoop, Informatica Enterprise Data Integration, Talend Integration Suite, Tableau Online, MicroStrategy AnalyticsSeth Goldberg
Unspecified
Oracle Data Warehouse
210 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
