Microsoft Access is a database management system from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.
$139.99
per PC
Amazon Redshift
Score 8.9 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
Visual FoxPro is a discontinued software, and no longer has support. Also, very few people still use it, or ever know how to use it. Excel is very popular, but [Microsoft] Access can do things like data joins much easier and faster
Although SQL is a full-blown platform for heavy database management, Microsoft Access serves the purpose perfectly for small and mid-scale enterprises. It is also perfect for people just getting started with database management. The graphical user interface is a major plus …
Unlike enterprise-level databases, MS Access doesn't require setting up a complex server environment with user security schemes. It's an excellent tool for small scale databases where purchasing and setting up a product like MS SQL Server could be an overkill. Unlike …
Microsoft Access is a bit dated compared to other database tools. It is slower, not able to handle quantities of data that are as large as the other tools, and a bit more finicky. However, it is sometimes the preferred tool for some clients. It also has a lower barrier to entry …
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MS Access is the little brother to all these products. In no way is it as feature-rich as the competition I have selected. It is, however, great when used properly. It does not have the same level of security, availability, access, or recoverability as anything listed above. …
Access is more robust than Excel in terms of data-centricity and robustness. It however isn't meant to support an enterprise-level use case like SQL Server is. That sweet spot in the middle (a departmental solution that requires more than Excel can offer) is the sweet spot for …
It works on the cloud and we use the platform Dbeaver which is very unique and easy to maintain. There are very limited tools of this kind but the security issues are pretty high within those tools.
Most of our stack is on AWS, so while Snowflake and BigQuery was a viable option from a performance perspective, it was easier to integrate with RedShift. We considered hosting SQL Server on AWS or using Amazon RDS (Postgres or MySQL), however, the self-service aspect of …
Prezi is using AWS so Amazon Redshift was the obvious choice. It is fast, scalable and easy to use. Supplemented with Spark and Hive I'm completely satisfied using Redhsift. Sometimes I miss commands I used earlier on MS and Oracle SQL and the lack of procedural features is …
Microsoft Access while a data tool cannot scale to number of concurrent users or the great amount of files needed to run a business. Microsoft Access can attach to sql server as a backend but the interface is still limited to less than 20 concurrent users at a time.
Amazon Redshift is a cloud-based data warehouse. It does what it says it will do, but my experience is that for a cloud data warehouse, it is a little slow and I'd hope for performance to be insanely fast. Plus, it is also very costly. Same performance for much less cost in …
Microsoft SQL is slower than MySQL and Access but far more feature-rich and reliable. Access is almost obsolete nowadays, so not too many people are considering it, but unless budget or an open-source ethos is a factor, Microsoft SQL is superior in every way. Many commonly used …
All of the platforms have their own benefit. I was not the decision maker in selecting Microsoft SQL Server, as it was already being utilized when I joined the company, 7 years ago. I can say that I feel more comfortable with utilizing this platform as opposed to the other ones.
The free version is very powerfull and easy to install and use for small companies. Going to Professional and Standard, gives you all the support and the flexibility needed. It is known within the Database Administrator crew, and you can get support very easily over the …
I use Crystal and Microsoft SQL Server with each other. Each has a unique role that it brings to every query. Microsoft SQL Server allows me to write and refine my base query. Crystal allows me to take that query and make it more visually appealing and easier to interpret.
SQL Server is way ahead of the support available and documentation available. Oracle should invest heavily in bringing good technical books on MySQL rather than putting documentation online and expect users to go through it.
Easy to manage all tools without extra cost is a big …
SQL Server is a better choice for quick time to market solutions and for easier maintenance. Oracle Database setup and programming to support solutions has a harder learning curve and it requires more time and effort to hit the ground running.
I started working with databases many years ago with Access, which allows you to create relational database and provide an old-fashioned desktop interface. I had a look at Oracle but I never had the opportunity to get to the bottom (also because of the budget that had the …
Years ago I used Oracle and Oracle Data Integrator and I hated it. It was cumbersome and archaic and I couldn't believe the product could be so popular. Given a database related task and a choice between Oracle or Microsoft SQL Server, SQL Server wins hands down in ease of use, …
I have used Microsoft Access, MySQL, and I have been a user of systems that run on Oracle database servers. All but Oracle are really intended for smaller scale projects and teams as they start to get slow or the performance will suffer once you start getting lots of data input …
As a Material Purchasing/Planning/inventory tracking application, Microsoft Access serves its purpose well. It's presentation is clean, data entry is simple and the ability to customize search fields is welcome. It does, however, come with some caveats; namely, when setting search filters and the need arises to back up a step or two, with Microsoft Access you have to reset, or "clear all", adding extra steps/time to a query.
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Microsoft SQL is ubiquitous, while MySQL runs under the hood all over the place. Microsoft SQL is the platform taught in colleges and certification courses and is the one most likely to be used by businesses because it is backed by Microsoft. Its interface is friendly (well, as pleasant as SQL can be) and has been used by so many for so long that resources are freely available if you encounter any issues.
[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Microsoft Access has not really changed at all for several years. It might be nice to see some upgrades and changes.
The help info is often not helpful. Need more tutorials for Microsoft Access to show how to do specific things.
Be careful naming objects such as tables, forms, etc. Names that are too long can get cut off in dialog boxes to choose a table, form, report, etc. So, I wish they would have resizable dialog boxes to allow you to see objects with long names.
I wish it could show me objects that are not in use in the database for current queries, tables, reports, forms, and macros. That way unused objects can be deleted without worrying about losing a report or query because you deleted the underlying object.
We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Microsoft SQL Server Enterprise edition has a high cost but is the only edition which supports SQL Always On Availability Groups. It would be nice to include this feature in the Standard version.
Licensing of Microsoft SQL Server is a quite complex matter, it would be good to simplify licensing in the future. For example, per core vs per user CAL licensing, as well as complex licensing scenarios in the Cloud and on Edge locations.
It would be good to include native tools for converting Oracle, DB2, Postgresql and MySQL/MariaDB databases (schema and data) for import into Microsoft SQL Server.
I and the rest of my team will renew our Microsoft Access in the future because we use and maintain many different applications and databases created using Microsoft Access so we will need to maintain them in the future. Additionally, it is a standard at our place of work so it is at $0 cost to us to use. Another reason for renewing Microsoft Access is that we just don' t have the resources needed to extend into a network of users so we need to remain a single-desktop application at this time.
We understand that the Microsoft SQL Server will continue to advance, offering the same robust and reliable platform while adding new features that enable us, as a software center, to create a superior product. That provides excellent performance while reducing the hardware requirements and the total cost of ownership of our solution.
Microsoft Access is easy to use. It is compatible with spreadsheets. It is a very good data management tool. There is scope to save a large amount of data in one place. For using this database, one does not need much training, can be shared among multiple users. This database has to sort and filtering features which seem to be very useful.
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
While I have never contacted Microsoft directly for product support, for some reason there's a real prejudice against MS Access among most IT support professionals. They are usually discouraging when it comes to using MS Access. Most of this is due to their lack of understanding of MS Access and how it can improve one's productivity. If Microsoft invested more resources towards enhancing and promoting the use of MS Access then maybe things would be different.
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
Excel is a fantastic - robust application that can do so much so easily. Its easy to train and understand. However - excel does not provide a reporting function and that is typically where we will suggest a move to [Microsoft] Access. [Microsoft] Access requires a little more knowledge of data manipulation.
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
[Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.