The Oracle Analytics Cloud service is a public cloud service that provides a full set of capabilities to explore and perform collaborative analytics.
$16
per month per user
Oracle Data Integrator
Score 8.5 out of 10
N/A
Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs.
The program focuses on a high-performance capacity to support Big Data use within Oracle.
N/A
Pricing
Oracle Analytics Cloud
Oracle Data Integrator
Editions & Modules
Professional - BYOL
$0.3226
OCPU per hour
Enterprise - BYOL
$0.3226
OCPU per hour
Oracle Analytics Server for Oracle Cloud Infrastructure
$1.75
OCPU per hour
Professional
$16.00
per month per user
Enterprise
$80.00
per month per user
No answers on this topic
Offerings
Pricing Offerings
Oracle Analytics Cloud
Oracle Data Integrator
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
OCPUs represent physical CPU cores. Most CPU architectures, including x86, execute two threads per physical core, so 1 OCPU is the equivalent of 2 vCPUs for x86-based compute. The per-hour OCPU rate customers are billed at is therefore twice the vCPU price since they receive two vCPUs of compute power for each OCPU.
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More Pricing Information
Community Pulse
Oracle Analytics Cloud
Oracle Data Integrator
Considered Both Products
Oracle Analytics Cloud
No answer on this topic
Oracle Data Integrator
Verified User
Manager
Chose Oracle Data Integrator
We were using Actian Pervasive before switching to Oracle and the main reason was the cost. We were getting less functionality at even more cost. Although it is much faster in terms of operation, Oracle makes it easy to connect to all data sources making data integration easier …
Our hands are open to producing diverse reports and data analysis. When the initial setup was done and after a short time we got acquainted with this platform, we easily connected different sources and other databases to this platform and via Data Model Editor to model data, which we can use in pixel-perfect reports. It has a great user interface with a genius machine-learning system.
Oracle Data Integrator is well suited in all the situations where you need to integrate data from and to different systems/technologies/environments or to schedule some tasks. I've used it on Oracle Database (Data Warehouses or Data Marts), with great loading and transforming performances to accomplish any kind of relational task. This is true for all Oracle applications (like Hyperion Planning, Hyperion Essbase, Hyperion Financial Management, and so on). I've also used it to manage files on different operating systems, to execute procedures in various languages and to read and write data from and to non-Oracle technologies, and I can confirm that its performances have always been very good. It can become less appropriate depending on the expenses that can be afforded by the customer since its license costs are quite high.
Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.
Oracle Data Integrator nearly addresses every data issue that one can expect. Oracle Data Integrator is tightly integrated to the Oracle Suite of products. This is one of the major strengths of Oracle Data Integrator. Oracle Data Integrator is part of the Oracle Business Intelligence Applications Suite - which is highly used by various industries. This tool replaced Informatica ETL in Oracle Business Intelligence Applications Suite.
Oracle Data Integrator comes with many pre-written data packages. If one has to load data from Excel to Oracle Database, there is a package that is ready available for them - cutting down lot of effort on writing the code. Similarly, there are packages for Oracle to SQL, SQL to Oracle and all other possible combinations. Developers love this feature.
Oracle Data Integrator relies highly on the database for processing. This is actually an ELT tool rather than an ETL tool. It first loads all the data into target instance and then transforms it at the expense of database resources. This light footprint makes this tool very special.
The other major advantage of Oracle Data Integrator, like any other Oracle products, is a readily available developer pool. As all Oracle products are free to download for demo environments, many organizations prefer to play around with a product before purchasing it. Also, Oracle support and community is a big advantage compared to other vendors.
Performance of the tool: While Oracle Business Intelligence Cloud Service (OBICS) can handle large volumes of data as well, it becomes quite unstable and slow when number of concurrent users is high.
Limited visualisation options for reporting.
Difficult to integrate with other non-Oracle tools. This is especially needed since visualisation options are limited.
ODI does not have an intuitive user interface. It is powerful, but difficult to figure out at first. There is a significant learning curve between usability, proficiency, and mastery of the tool.
ODI contains some frustrating bugs. It is Java based and has some caching issues, often requiring you to restart the program before you see your code changes stick.
ODI does not have a strong versioning process. It is not intuitive to keep an up to date repository of versioned code packages. This can create versioning issues between environments if you do not have a strong external code versioning process.
It is maturing and over time will have a good pool of resources. Each new version has addressed the issues of the previous ones. Its getting better and bigger.
Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.
Better: Easy integration with different systems (internal, such as SAP; or external, such as data coming from tables from your vendors). Many companies use it and it's a good tool to learn. In my case, I learned at P&G and when I moved to Whirlpool I already learned how to use it! And I use it very often in my role. Worse: Well, if I need to do anything beyond a table, line or bar chart, I export the data and use a different tool.
I have used Trifacta Google Data Prep quite a bit. We use Google Cloud Platform across our organization. The tools are very comparable in what they offer. I would say Data Prep has a slight edge in usability and a cleaner UI, but both of the tools have comparable toolsets.