SSIS had its day, but in the big leagues it can no longer play
SSIS pulls data from various locations (mostly SQL Server instances but also some flat files and SFTP), mainly for transforming the data …
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What is SSIS?
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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What is SSIS?
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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Demonstration of Multicast transformation in SQL Server Integration Services (SSIS)
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SSIS Tutorial Part 78- What is Multicast Transformation in SSIS (Quick Demo)
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SSIS Tutorial Part 119-Execute SQL Task (Full Result Set) Demo in SSIS Package
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SSIS Tutorial Part 72- What is Conditional Split Transformation in SSIS (Quick Demo)
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SSIS Tutorial Part 02- How to Load Tab Delimited File To SQL Server Table in SSIS Package
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Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
Reviewers rate Connect to traditional data sources highest, with a score of 8.8.
The most common users of SSIS are from Enterprises (1,001+ employees).
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In my work in the health care field, we use SQL Server Integration Services as our default ETL tool of choice for pulling data into SQL Server from Teradata, Oracle, flat file and other SQL Server databases, and for creating data extracts to send to our clients, typically in the form of flat files.
- SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
- It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
- When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
- SSIS has been a bit neglected by Microsoft and new features are slow in coming.
- When importing data from flat files and Excel workbooks, changes in the data structure will cause the extracts to fail. Workarounds do exist but are not easily implemented. If your source data structure does not change or rarely changes, this negative is relatively insignificant.
- While add-on third-party SSIS tools exist, there are only a small number of vendors actively supporting SSIS and license fees for production server use can be significant especially in highly-scaled environments.
June 07, 2019
SSIS - Strong performer in the traditional data space, but can be improved in handling JSON objects
We implement data solutions for our clients. We use SSIS frequently as an ETL and Data Integration Tool for clients that have the Microsoft enterprise licensing as it offers decent base-level capabilities for traditional database management systems, and we can justify the tool selection since the technology cost-effective under MS licensing.
- Very good for traditional RDBMS ETL and integration.
- Good developer community support online.
- Good at ingesting structured flat files (CSV, TXT, Excel).
- The tool struggles out of the box handling emerging datasets such as JSON feeds.
- Unstructured datasets can be challenging to work with.
- Some out of the box can be very resource heavy, and the UI is not very straight forward. Luckily there's a large community of SSIS users that can provide guidance.
January 15, 2019
SQL Server Integration Services: a great tool for small to medium sized implementations
SSIS is used within my organization to move data from one data source to another, performing data translations, transformations, lookups and calculations during the data movement. This process often includes very complex data transformation processes including the use of APIs, external references and various class libraries. SSIS is currently used in various areas across the entire organization to solve SQL server-based data transformation issues.
- It handles SQL Server databases flawlessly
- It provides a robust developer interface
- It allows a developer to encapsulate complex scripts directly within an SSIS project or reuse scripts across projects
- It interfaces quite well with a large number of available libraries
- SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
- SSIS is not available on any environment other than Microsoft Windows
- SSIS does not function with any database engine back-end other than Microsoft SQL Server
December 07, 2018
SSIS for data integration and ETL!
We use SSIS to connect to API's and other DB stores/wh/marts, etc. In our projects, many different data sources and types exist, and we build BI from the disparate sources that exist within our larger clients. SSIS is used as tool to harvest those disparate sources and run jobs to populate our end DB which feeds our visualization tools.
- Source system connectivity (API's, SQL DB's, Olap Cubes, etc)
- UI which allows less technical people able to quickly and easily complete the tasks.
- Debug and quickly/easily troubleshoot logic and errors while running jobs or procedures.
- Version control sometimes seems to be an issue when many different sources are coming into play.
July 16, 2018
SSIS is one of the best ETLs
SQL Server Integration Services is used for the following purposes in my organization.
1. Extract data from the source database and transform it and then load it into a destination database
2. Use this for Balancing between 2 or more different databases
3. Extract the data from relational databases and load into data ware house.
1. Extract data from the source database and transform it and then load it into a destination database
2. Use this for Balancing between 2 or more different databases
3. Extract the data from relational databases and load into data ware house.
- Transform the data
- Lookups
- Performance
- Script components are always a problem
- Cannot debug properly inside of Script component
June 21, 2018
Good integration with MSSQL
It is mainly used by technical analysts with the purpose of delivering data integration and reporting projects to customers. It addresses the need for complex multi-source data ingestion, data manipulation, and integration to a MSSQL database.
- Visual programming makes configuration easy and accessible
- The ability to code also allows users to implement complex logic for data manipulation and etc.
- Easy integration with MSSQL Database instances.
- Component properties are not very well defined, which makes the learning curve harder
- As control flow and data flow often looking similar visually at first glace, it takes awhile to differentiate which one you are working on as users need to look at the tiny symbol and text on the tab to do so. A more straightforward color-coded or larger visual cue to differentiate between the two would make this easier.
SSIS was being used as an ETL tool both by IT as well as business teams. It is now replaced by a competitor though. The tool was being used for basic extraction and loading purposes, with hardly any complex data transformation being done. Though there were use cases to exploit the tool, neither Microsoft nor in-house consultants really helped with the tool, with the result being it getting replaced.
- Source systems connectivity (RDBMS, Flat Files etc)
- Embedding SQL and other code in case of complex business logic and data transformations
- Multitude of data transformation options
- Ease of use, easy to learn
- Skills availability in the market
- version control/configuration management
- Programmatic issues like NULL handling (it's RDBMS counterpart SQL Server database uses NULL differently)
- The source connectivity options should be enhanced
April 06, 2018
A solid ETL tool. Data doesn't stay in one place, SSIS keeps it going where it needs to go.
Like most businesses, we have various sources of data that management likes to be able to compare to each other. I use SSIS primarily to move data between our source systems and data marts and warehouses that our reporting software can be pointed at. I also use SSIS to deliver scheduled file exports to external customers or to import files into one of our critical systems for use. I even tend to use it for non-SQL related things such as file system and ftp tasks. If it needs to be extracted, transformed, or loaded somewhere, I use SSIS to do it.
- There are many good workflow tools and ways to control the order in which things happen. In a short amount of time, you can quickly create a package that will move data from point A to point B and have it scheduled to run 4 times a day. Or if you need error handling or other business logic, you can spend more time and completely automate repetitive tasks. Robust? Check!
- SSIS can consume multiple sources of data. From flat files, to Excel, to Oracle, or DB2...I've been able to access multiple data types and move them in and out of SQL databases with SSIS. We had one linux system that ran a Basis database system and there was a need to have something done, but no one could figure out how to make it work. I was able to use SSIS to import files and execute code on a server that had nothing to do with SQL server. So flexible? Check!
- We already use SQL server almost exclusively for our enterprise database needs. The fact that we already have access to this tool at no additional cost to the business is a bonus. The fact that it is powerful, even better. Value? Check!
- I know in my "pros" comments, I said it was nice because we already had access to SSIS by virtue of being able to install it on existing SQL servers with no additional license cost. But, if you rely heavily on SSIS, you will want to have it on its own server rather than letting it share resources with a very active SQL server. That means additional licenses. It can consume a lot of resources, depending on the amount of data you're pushing through SSIS at any given time.
- Current versions of SSIS do a much better job of managing deployment of packages into production. It used to be an all-or-nothing proposition so if you had to make a small change to a project that had many packages in it, you'd have to redeploy the entire project which means lots of extra testing. The introduction of package level deployment was welcome.
- SQL server and SSIS play very well together when they have enough resources. If you're using virtual servers and can add CPU/RAM/Space easily, then by all means, put them together and manage the resources so they stay out of each other's way. If you don't have the capability to do that, then you'd be better off having SSIS on a separate server. When everything is working well, it is amazing. But if you make SSIS and SQL fight over resources, it's not pretty (SQL wins that fight by the way in case you were wondering!)
- If I'm being honest, I haven't had to point SSIS to a huge variety of source systems. It could be that SSIS doesn't play well with certain DBMS' (I've heard Sybase compatibility complaints before) and you'll need to do some research and testing before actually using it in production.
In the beginning, we had hundreds of Stored Procedures, instead of SSIS packages. The Stored Procedures were poorly made by some users, only thinking on the resulting query and not the execution performance, plus the people doing data mining created tables for a report and then they didn't eliminate such tables that only had one use, also some of those tables kept growing without being needed any longer.
The implementation and onboarding of SSIS was made with the intention to correct some of these T-SQL coding issues. It is easier to understand a diagram than sheets of T-SQL code with good documentation. Besides the performance for bulk inserts was better with SSIS than normal inserts in stored procedures. We were able to divide and define a bit better the roles, between SQL developers, Data miners, and BI engineers.
- Logging, this is essential when you do ETL. With SSIS you can run the package and see step by step the progress, how many tuples complied with the filters, like how many went left and how many were correct, or excluded.
- Using regular expressions with C# direct code by adding Script Components it's easier with SSIS
- https://sqldusty.com/2011/11/06/data-cleansing-with-regular-expressions-in-ssis/
- https://www.linkedin.com/pulse/using-regular-expression-file-filter-ssis-sean-werick/
- Performance, it is difficult to demand good SQL code to every member of the BI team not everyone is specialized in T-SQL.
- SSIS standardizes a bit more the code and allows users not completely familiar with SQL or even C# to achieve what they needed, the package still needs to go through a code review but it is quite easier to understand.
- Be careful when you edit a package, if the version is above the SSMS you are using then it will not be compatible. You have to compile or edit the SSIS package in the same version of SSMS you are using.
- To explain it a bit better if you have SQL 2014 in your laptop, pull a package for the DB server which is running SQL 2012, after you edit the package it will not be allowed in the SQL server.
- Python, Perl scripts are still a high competition for SSIS, mostly because they are very easy to manipulate, if you need a change you can do it directly with notepad.
- Plus Python now has an add-on called Pandas which is great for manipulating data.
February 15, 2018
Great ETL tool
We currently use SSIS for imports of purchase orders into our ERP - SYSPRO. These purchase orders come in various file formats: EDI, XML and excel spreadsheets. SSIS helps us aggregate these various files into a common import platform and apply business logic such as ship date calculations, SKU availability checks, customer hold checks etc.
- Great for parsing data from various file formats into SQL server. As an example, we use it to extract data from XML, EDI and other flat files.
- Great for applying custom business logic in the ETL process. These business logic could be built into functions, stored procedures and applied through the SSIS packages.
- I like it's exception handling capabilities and how it's able to show the module that threw up the exception by highlighting it in red.
- Works very well with Visual Studio and as a matter of fact, you can build all your SSIS packages right from SQL without even opening up SQL server or BIDS.
- Not sure if it has JSON support but if it does, that would be awesome! Basically, the ability to consume data from a JSON data set.
- In as much as Microsoft built it for the SQL database, it would be awesome if we could leverage SSIS for data ETL into other databases like MySQL and Oracle etc.
- Add more color themes! The default color theme is old school and really sucks if you ask me.
August 10, 2017
SSIS
I've used SSIS to support individual departments within an organization. Typically I use SSIS to automate migrating and transforming data from one location to another. SSIS has a diverse range of source and destination formats that makes it easy to move data between different systems. There are many add on tools for other source / destinations that are not out of the box. For example, Dynamics CRM.
- SSIS allows you to run many processes in parallel. Thus, you can run multiple data flows simultaneously to increase the throughput of the migration process.
- SSIS provides many tools for transforming data during the migration process.
- The one issue that I have with SSIS is that sometimes the business logic gets baked into the SSIS package. This can make it harder to debug. In some cases this makes sense if the source and destination is not a database. However, when using a database as a source I prefer to manipulate and transform the data via sql and then simply expose the dataset to SSIS after the data has been prepared. I find it easier to write and debug sql directly rather than working in SSIS. However, in cases when a database is not involved then putting the business logic in SSIS makes sense.
July 19, 2017
SSIS offers what I need for data processing.
In my current organization, SSIS is being used by the enterprise data warehouse team. This team uses SSIS to construct data warehouse, prepare data cubes, and fulfill ad-hoc data-related acquisitions.
- Presents the flow of data processing very well, making it easy to learn/understand SSIS packages.
- T-SQL and C# friendly.
- Comprehensive configuration, logging, and error handling.
- Some components are not working very well, including sorting, SCD, etc.
- Different components could have different syntax or data type definition.
- Not enough scripting learning materials.
March 29, 2017
SSIS Addict
Integration Services is the primary extraction, transformation, and loading tool we use to populate our SQL Server and Azure SQL DB and DW for our data and our clients' data. We do a majority of our logic for preparing both reporting and application data within SSIS components, scripts, or within T-SQL Stored Procedures executed within SSIS Control flows. It is only used within my group but my group is the only group directly populating our reporting databases.
- Native data connections to SQL Server and Azure SQL DB and DW
- Flat file processing
- .NET C#/VB scripting
- Ease of use in designing and implementing control flows within conditional processing and looping
- Integration with Access/Excel should be more seamless and less problematic
- CASS certified address standardization
- Higher performing Slowly Changing Dimension functionality
- SFTP
- Incremental loading (deletion, upsert, etc.)
- PowerBI integration. I really really really want to be able to refresh reports via IS packages
- More Azure administration tasks
- Office365 and Sharepoint integration
August 05, 2016
Use it if you have a Microsoft Stack
I cannot say for the whole organization, but we use SSIS for just about all our automation processes. When managing a large data warehouse it is incredibly useful to automate the ETL process. We primarily use it for the data warehouse, but it's versatile enough to use for other automation tasks, reports, and notifications.
- Clear GUI and ETL workflow. It's very easy to understand how the data is being managed. When pulling up a SSIS solution that someone else has created, it's very easy to see what's going on-- how the data is extracted, how it is transformed, and how it's being loaded.
- Deploying scripts. Once a proper package store is configured, you just need to hit deploy and it handles the rest. It's also flexible enough that you can still use SSIS packages without using an SSIS DB for version control by calling them through the file system. Or if you're one of those people who love batch scripts, you can also execute the packages through command line.
- SSIS Package Store. It's a great way to manage your versions and deployments. Bonus is that if you use a package store, it'll also give you error reports after the fact if a package fails for debugging. It'll tell you exactly what step failed and why.
- I think it handles undefined/dynamic data sources poorly. Considering that we use it primarily to ETL data from other systems across the whole organization to bring into our BU's data warehouse, we sometimes have issues when the source has changed. If someone adds a column without letting us know, we'll need to modify the SSIS packages.
- Sometimes the error codes are vague or cryptic. When debugging a SSIS package I have to google the code or error message and hope someone has a similar issue on stack overflow.
- SSIS really only works if you're already using a lot of Microsoft Products like Microsoft SQL Server or SQL Server Reporting Services. As mentioned in the name of the application, "integration services", it's designed to integrate your products together so that you can get the most out of it.
July 15, 2016
SSIS fits perfectly in Microsoft environments
SSIS is our main ETL tool since we are mostly a SQL Server shop. We use it to integrate data into all of our reporting environments, transforming and massaging data dynamically and connecting to many various sources along the way. It is also a quick way to move data out of other Microsoft environments such as Excel and Access Database.
- Transform data
- Issue Logging
- Event Notification
- Needs more connections to environments such as Hyperion
- Not as robust as Informatica
- No built in metadata management
June 04, 2016
SSIS - Our go to ETL Tool
SQL Server Integration Services is the go to tool for our Data Integration team for automating a number of disparate data imports. We deal with a number of file sources (Excel, CSV, TXT, etc) that need data transformed for import into our SQL databases. SSIS allows us to handle any number of file formats and types efficiently, and we can perform all data validations necessary to ensure utmost data integrity.
- Handling upsert functionality (i.e. performing lookups against existing data to determine new versus existing records).
- Automation of scheduled file imports. Essentially any consistent data source can be automated after a one-time SSIS package is set up.
- Ability to handle a wide variety of data sources.
- Excel data type handling - makes assumptions on a single data type where there might be multiple data types in a specific column.
- Better handling of data schema changes - If you have column changes or additions in your data source, it does not always implicitly make those changes across all data transformation tasks within the package.
- No reliable built-in functionality for SFTP connections.
June 03, 2016
SSIS- Mundane but Dependable
SSIS is utilized as a systems and data integration tool, and for performing a variety of ETL tasks. It is utilized by the IT department to support business applications, particularly where two or more systems require data exchange. It is a mature product (stable and reliable) and comes as part of standard SQL Server implementations so its fairly simple to utilize.
- SSIS Integrates very well with other Microsoft products including Excel and Access. Other ETL tools may have a difficult time integrating with Access, so we have observed SSIS to be superior in this regard.
- SSIS has the capacity to do a fast bulk load (BCP) with transformations, within the bulk load itself. This feature is not available when utilizing the BCP utility outside of SSIS or from other ETL tools. To be clear, the transformation is occurring within the BCP component itself. Other ETL tools will have to utilize a non-BCP load (slower) or do the ETL after the load. This is a great feature I have not seen replicated in other tools.
- SSIS integrates seamlessly with SQL Server RDBMS, including SQL Jobs and Stored Procedures.
- SSIS has nice support, tools, and wizards for fixed length file processing.
- SSIS IDE (SQL BIDS) is lacking, particularly when compared to Visual Studio for .NET development. It was carried over (at least in look and feel) from the legacy DTS tool. It could use a complete redesign from scratch. Considering how superior the VS .NET IDE is, the inferior SSIS BIDS IDE is unacceptable.
- SSIS is very Microsoft centric. This is a strength when dealing with pure MS technologies, but becomes a weakness when dealing with disparate, distributed systems, including cloud computing. Other ETL tools for example easily integrate with everything from AWS to Google Drive to Sales Force.
- SSIS deployment model is clunky and non-intuitive.
May 26, 2016
SSIS is terrific for all your ETL needs.
Our laboratory uses SSIS to transfer data between servers and databases, to data warehouses, reporting services and to and from file sources in a complex SQL Server environment that includes Merge Replication and SQL Server Reporting Services. Besides internal transfer, transformation, and manipulation of data, including archiving of data, we use SSIS to export laboratory results to external systems and import scheduling and sampling information from external systems.
- SSIS can query, filter, and transfer data between databases on different servers without establishing explicit trust relationships between those servers.
- SSIS can be used to refresh a reporting database from a transactional source database, transforming or flattening the data and tables as necessary to facilitate reporting. This can be done incrementally, or by emptying and refilling the reporting database from scratch.
- SSIS is configured through graphical interfaces that make it relatively easy to see the flow of data including where problems occur.
- SSIS has a number of tools that allow you to debug SSIS packages and track down problematic data or configurations.
- SSIS allows you to program Script Tasks in C# and VB allowing extremely powerful functionality including looping and sending consolidated alerts.
- SSIS allows you to control virtually every part of the SSIS package (connections, variables, etc.) using configuration files so you can have one package that can be used in several different places (such as dev, test, and production environments) only by editing the configuration file that the package uses when the job is scheduled.
- One of the most frustrating things about SSIS, at least in its 2008R2 incarnation, is that of the annotations. Formatting annotations, getting them to wrap in the box, etc., is either extremely difficult or impossible without editing the XML of the SSIS package. You also CANNOT copy and paste annotations, so if you have several similar ones, you have to type every one of them from scratch. It makes you want to scream.
- In the 2008R2 incarnation, setting up tasks to pivot data is very tedious and non-intuitive. I have heard that this improved in SSIS 2012, along with performance. We are trying to upgrade our SSIS and SQL server environment to 2012 or 2014 as soon as possible.
- Sometimes datatype conversion doesn't work implicitly when it should and you have to do it either explicitly with a query or with a datatype conversion task.
May 23, 2016
SSIS is great if when used in the right place
Ee create master data management and workflow software for oil and gas companies which involves getting and writing data to other systems. We use SSIS for all integration as it helps dealing with different systems.
- Makes it very easy to move data form one system to another
- So many out of the box transformations
- The script task gives you so much flexibility as you can write C# code to do almost anything
- Easy deployment and configuration after the 2012 release
- Project deployment model to allow deployment of single packages
- Allowing to apply one transformation on all columns, like changing all column types from nvarchar to varchar instead of doing it one by one
- Mamed parameters from inline SQL statments using OLEDB command, currently they are called parameter 1, parameter 2...etc., which is confusing when you have many paramters
- Pass authorization tokens when calling remote processes like a console application, currently being called as anonymous
May 06, 2016
A Reliable Data Preparation Tool.
SSIS is used by the IT department for extracting, transforming, and loading data. The most common application for SSIS would be for cleansing and restructuring data while it is being loaded into a data warehouse.
- Providing developers with a wide range of architectural options.
- Providing the ability to connect to a wide array of data sources.
- Proving many different deployment options.
- While SSIS does provide a plethora of architectural options, all of these options can at times be overwhelming. Some competing products offer a more straight forward and streamlined approach.
- SSIS does not currently provide any templates, although this is supposed to be addressed with the upcoming release of SQL Sever 2016
- Connecting to Oracle databases is not easy, SSIS still requires the installation of other tools.
April 28, 2016
SSIS - A great ETL solution!
SSIS is used by a lot of people within our technology department, but it is used heavily by our developers. We utilize this tool to move data between servers as an alternative to using a linked server and also to migrate data into our production systems from third party databases.
- We use SSIS as a tool to help convert and migrate data from third party systems into our internally developed CRM system.
- We use SSIS to move data from server to server, where a linked server is not present.
- SSIS allows us to import tables directly from other sources (Access, Excel, etc.) to our Microsoft SQL environments.
- SSIS is utilized to export data from our SQL servers into Access database backups for our clients who request backups of their data.
- Although it's better than the old DTS, I think some more default integrated data sources/targets would be beneficial.
- Integration with MySQL would be great. Currently we have to use Microsoft SQL Server Migration Assistant for MYSQL to get this done. If this was integrated into SSIS, it would alleviate the need for the other program.
April 15, 2016
A high-performance ETL product
In our department we use SQL Server Integration Services daily. The main use is to do data processing for several ETL processes. Thanks to the use of SQL Server Integration Services we can upload data to the data warehouse in different ways such as a bulk load or with incremental loads thanks to the use of SCD task data.
- High data load speeds
- Many data processing modes
- Many data sources and destinations data possible
- For some tools you need to integrate third-party packages
- Depending on the version you must have the right visual studio version to develop and deploy
- Not really intuitive
February 23, 2016
SSIS is ETL's best buddy for skilled SQL Developers
SSIS is a powerful tool to perform various ETL-like functions between homogenous and heterogeneous sources of data. It was widely used in all organizations I worked since it provides an easy way to create data transformations.
- Easy connection configuration
- Powerful wizard for data mapping
- Native exception handling
- User-friendly interface
- Easy to learn
- Package can be deployed via Visual Studio
- Requires programming experience for custom tasks
- Shell version of VS used for SSIS package development doesn't support C# as scripting language (needs at least professional edition)
- Some tasks are hard to debug, aren't they?
October 30, 2015
The Review
It is been used in the entire department to support enterprise analytics and reporting
- User friendly
- Compatible with windows
- Cheap and good for mid size companies
- Needs to be capable to hold large data
October 29, 2015
SSIS Cheap and easy to use
We use SQL Server Integration Services to pull data from FTP sites.
- Our clients have branches and each branch generates a flat file and loads to a remote site from which we pull and consolidate the data and report from the consolidated data.
- SSIS would allow [us] to execute a batch file which will pull the files and decrypt.
- SSIS transformations are easy to use when [they] loop around the files in the same folder.
- SSIS expressions are difficult to read and comprehend.
- SSIS fuzzy loop up transformation performance needs to be optimized.
- SSIS packages code should be easy to copy and modify so that it can easily be replicated just like BIML.