dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.
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Oracle Data Integrator (ODI)
Score 8.6 out of 10
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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.
dbt is very flexible and can fit into most data pipelines. This is a pro for most organizations that aren't fully bought into one platform (Google Cloud, etc.)
Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT …
Snaplogic is great at the Extraction and Load processes of ETL. It can pull data from anywhere, even behind firewalls. So if you need to get data from various APIs, databases, files, S3, SFTP, etc it is easy to do so. However, it requires special knowledge in order to build …
Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many …
Airflow can accomplish the same work as dbt (data build tool), however, dbt's (data build tool) development workflow and UI can open up data transformation and modeling work to non-data engineering teams. Looker might also be able to define data models via LookML with a …
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.
dbt (Data Build Tool) is best suited for doing the data transformation. dbt is just a transformation tool and it is not suitable for building a data pipeline which requires extraction of data and loading. dbt is well suited for SQL based transformation logic and it is less appropriate when transformation logic requires python.
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
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.
Slow load times of the dbt cloud environment (they're working on it via a new UI though)
More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros
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.
dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.
Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
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.
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.