Dataloader.io delivers a cloud based solution to import and export information from Salesforce.
$99
per month
Oracle Data Integrator (ODI)
Score 8.6 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.
I use the in-app offering, don't the name of it and I don't use it because it limits me to a thousand records and I'm in a team of one, there's no shot. I'm only dealing with a thousand records.
I have used salesforce inspector also for operations like import and export of data from custom objects but it doesn't work well when you have data in huge numbers. Instead of using Salesforce Inspector, one should go for Dataloader.io if the number of records is huge to be …
Salesforce is attached to Dataloader.io and is easy to access through Salesforce. They also have a robust free version that most smaller businesses will find perfectly acceptable. I have only find some situations in which I needed the more expensive version. It is less helpful …
I use Dataloader.io and the Data Loader app interchangeably. They are virtually the same thing. I've used the app more over the years but have slowly started using Dataloader.io on a daily basis. The UI and UX are a welcome change, and if I want to schedule a data load, I will …
We have both Dataloader & Dataloader.io, one for experts and the other from newcomers, or people who are not familiar with Salesforce & data import. Furthermore, Field Matching is really useful to avoid duplicates.
Salesforce has a utility that can be installed locally on your system for data loading as well. It has a similar UI but I find that query building and tracking tasks completed with the tool are lacking. Dataloader shares history and is more intuitive for helping build queries …
We looked at several products before trying Dataloader.io. Xplenty was great but it was more expensive. The same was true for Workato. We also looked at Snowplow. Workato was really impressive and had great support but required a hefty downpayment. Xplenty had a great UI but …
The UI of Dataloader.IO is far more advanced, user-friendly, and current, than any of the options above. The ability to several tasks (Imports/Exports) at one time. Cloud-based with very easy access to current Imports or Exports, as well previous versions that had previously …
Dataloader.io is superior to the build in Salesforce data loader. There have been several occasions, particularly on leads, contacts and account records, where I get can error in salesforce data loader, but am able to to successfully, and accurately load the same file through …
Jitterbit had more features and options, but was also more complicated to use. Salesforce's Data Loader is pretty basic, but there are no limits. We utilize Salesforce's Data Loader for most of our jobs involved a quick import of data, or large amounts of data. Dataloader.io is …
Dataloader.io was already in place when I started my consulting work for the client so I was not part of the evaluation process. Regardless, I don't think that there would be a more optimal solution for my client than the one the chose.
DemandTools also provides the ability to batch import or update records within our CRM system. We use both products, but Dataloader is slightly more user-friendly.
I was researching for primary tools to update and migrate records. It came down to Excel Connector, Salesforce's dataloader, Salesforce's core functionality itself, or Dataloader.io. Dataloader.io ended up being my last option to test, and it would have been nice if it was my …
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Anonymous
Chose Dataloader.io
apex data loader. force.ide eclipse.
Oracle Data Integrator (ODI)
Verified User
Anonymous
Chose Oracle Data Integrator (ODI)
This is very easy to integrate with Oracle data sources and as most of my databases are in oracle so I gave preference to this 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.
Oracle Data Integrator works very well if the rest of your systems are in the Oracle environment. There are some other good alternatives out there, but for what Oracle Data Integrator has to offer, it is good. It is also a little harder to use compared to the other ones I have …
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 …
I have used the Pentaho Data Integrator ETL tools in different projects with the SQL Server Integration Services product from the Microsoft product family. Oracle Data Integrator ETL product is efficient in projects where Oracle databases are heavily used. The end-user …
Talend Data Integrator has been evaluated during the setup of the architecture for a customer, in comparison to ODI, since it's an open source ETL. But, differently from the meaning of "open source", it has licence costs too that aren't that different from ODI ones. Moreover, …
ODI is the naturel successor of OWB, adopting the same EL-T approach but supporting a lot more technologies as source and target. The overall product is much more stable and not tied to the Oracle database. Unlike Informatica, ODI generates all the code in the native underlying …
We migrated to ODI from OWB - and we found ODI to be light years ahead of OWB (features, performance, and connectivity). We also looked at Informatica, but were turned down by its cost. Being a SAP Business Objects shop, we also considered the SAP Data Integrator tool (it …
Oracle's own ETL tool was Oracle Warehouse Builder, initially. When Oracle built the Oracle Business Intelligence Applications Suite, Oracle is in need of a strong ETL. As Oracle Warehouse Builder is not a strong ETL that customers prefer and as already Informatica captured …
We thought IBM was too expensive and more difficult to use. With Microsoft, since we have our main application running with Oracle DB, we understood it’d be easier for us to work with ODI.
Oracle Data Integrator is a superior tool when dealing with Hyperion Planning and Essbase cubes and applications. The native connectors allow for easy data movement and transformations from one environment to the other. I do believe that Oracle Data Integrator is a very complex …
Informatica was slightly more intuitive but slightly less powerful than Oracle Data Integrator. My use of Informatica was much less extensive than Oracle Data Integrator, so I can not speak as in-depth about the strengths and weaknesses of Informatica. We used ODI much more for …
ODI is less user friendly than FDM and DRM but is much easier to deploy than core ETL tools such as HAL or Informatica. The tool is easier to master and is usually more than capable of handling the run of the mill tasks required for Hyperion deployments. It has been a good …
IBM Infosphere, Informatica. I worked on the mentioned tools as well as ODI. I liked ODI because it is easy to use with great features that every other ETL tool has in the market.
Our organization was using the Oracle BPM and the Oracle Data Integrator has good integration with BPM. We got good support from Oracle in setting up the integrated environment.
Replacing data. If we've put something in a category or a bucket that is no longer named that anymore because we've evolved with the times and we want to rebrand everything, it makes it way easier to do a quick import with the new terms.
I tried various ETL tools and here is [where and] why I recommend Oracle Data Integrator. 1. When you want to process structured data from different databases - Teradata, Exadata, DB2, SQL, Oracle etc. 2. Oracle Data Integrator supports all platforms, hardware, and OS. This is a major advantage compared to other leading tools. 3. The ELT architecture giving a cutting edge performance over leading ETL tools. There is no need to align Oracle Data Integrator between source and target. ODI uses the source and target servers to perform complex transformations. 4. Speeds up the development and maintenance by reducing the code that developers need to write
The selection of objects is much better and more extensive than the Salesforce built in data loader.
Cross referencing of fields for record IDs is easy to use. I can work through this so much more quickly than using the built in Salesforce data loader.
Success and error files are easy to identify what needs to be fixed (errors) and identification of records created (successes), so you can quickly do spot checks in your Salesforce org after doing a data load.
The number of rows per month for a basic package, 100,000, is great for our business.
Converts data from various sources into one target format using various business logic rules and integrates with various DBMS types.
Transformed data from DB2, SQL Server and other Oracle databases into flat files and then used ETL jobs to load into Oracle DB target
Data Integrator and Goldengate were used together to accomplish the data movement needed for business and data consolidation in live environment. Data Integrator helped with development and in reducing lead time to convert data into target.
At the moment, I can't find a way to rename jobs. This would be useful to organize what was previously created hastily by techs in a rush.
A preview of the job, especially upserts, would take a great deal of stress away from some of us (especially those who are not so confident in their ETL practice).
A native vlookup equivalent may be a welcome addition.
It is easy to use and doesn't require a security token, so I enjoy using it. It also doesn't require any download or installation, which is sometimes a blocker to gettingthings done if the company has limits. also, the dataloader.io is easy for other people to pick up, so others can have visibility into the data jobs that have occurred
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.
Dataloader definitely skews towards a more technical userbase. Users should be adept at manipulating data in spreadsheets and decipher JSON formatted error messaging. Additionally, there is a good amount of time need to set up the environment to map to the pertinent fields we are trying to adjust. While I would not recommend the typical account manager to use Dataloader, a typical operations manager should have no issue.
The utility itself is very self-explanatory and has enough information to guide you through the process. It has an intuitive experience for those familiar with data loading/exporting utilities. Outside of this, they have a Zendesk help center to log support requests and provide documentation to help guide you troubleshoot any issues that may be occurring.
The UI of Dataloader.IO is far more advanced, user-friendly, and current, than any of the options above. The ability to several tasks (Imports/Exports) at one time. Cloud-based with very easy access to current Imports or Exports, as well previous versions that had previously been run. You can see Imports or Exports across all time, even if you change filter criteria.
Talend Data Integrator has been evaluated during the setup of the architecture for a customer, in comparison to ODI, since it's an open source ETL. But, differently from the meaning of "open source", it has licence costs too that aren't that different from ODI ones. Moreover, the other components of the business intelligence architecture of the customer were Oracle, so we thought that ODI would suit at best with them, more than a different vendor software.
HUGE time saving. When we need to clean or review data, we used to have to do it line by line. This can do the work within excel and make cleanup/management an afternoons work as opposed to a week.
Rollback what you did/change/deleted is relatively simple if you remember to back up the data you are manipulating.
Oracle Data Integrator helps provide a business with the data it needs to defend the decisions it makes.
Oracle Data Integrator allows you to analyze data from what can be separate, different, and often outdated data sources. It allows you to make direct comparisons when analyzing data from different pieces of equipment.
Data from Oracle Data Integrator was used to analyze manufacturing quality and drive down spoilage, saving the company money.