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
SingleStore
Score 8.2 out of 10
N/A
SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
Microsoft Access is used independently of Microsoft's Office suite (also in use) at our company - the usual applications: Word, Excel, Outlook, etc. and does not really overlap. Microsoft Access was selected as a simple, functional inventory database based on ease of data …
Microsoft Access is a superb software in database management system. I have been using it for many years without any hesitations. The software is making it different from other software with its awesome features. The software is cost effective for the organisation. It also …
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 …
With [Microsoft] Access I am able to quickly create simple database driven solutions with built in UI and reporting in one tool. Advanced coding is not necessary and the tool guides you through building out. Opponents for a robust, end-to/end product.
Having used Snowflake, I can definitely say that both of these tools are very easy to use and value for money. Although for me, the aspects where Microsoft Access stacks up are its low cost and usability. Snowflake is good with its cloud-based system but for startups where the …
I haven't really used another database product other than Microsoft Access since the mid-90s. I don't even remember which program I did use, but needless to say, it did not have as much functionality nor was it as user friendly as databases today. So I really can't say how …
Crystal is easier for report writing, but isn't a database solution. Salesforce is lovely, but much more expensive than an old copy of Microsoft Office. For a small budget, [Microsoft] Access was really the only viable option. I only wish it was easier to write complex reports.
[Selected Microsoft Access for] employee learning simplicity, attractive graphical environment and features of Microsoft 365 with responsive Microsoft support.
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 …
Microsoft Access is better for large files and backlogs than Excel because it can handle the workload. Excel is great as well, but filtering and searching is limited, and it can crash rather easily. You don't see those problems with Access.
We've actually started to use both of these programs. There are pros and cons to both. Microsoft Access is best for linking two sets of data that already have a common shared field (i.e. both sets of data include a student ID number, social security number, etc) Airtable is best …
SharePoint is good for simple data structures, use of workflow, integration with AD, etc. But SharePoint does not support fully relational data or complex reporting, whereas Access absolutely does.
Being a similar "Windows application" it's easier to start to use as part of Office. Also, the GUI capabilities are much more advanced than other high-performance databases.
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 …
Tableau is not even a 'switch-out' tool, it's for visualization so it's not a fair comparison. Against other databasing tools, MySQL is still my favorite may be simply due to being a creature of comfort because that's where I first learned to manage DB. However, Microsoft …
MS SQL is a more powerful tool but I love the reporting feature in MS Access. MS Excel is useful for complex calculations but to me, MS Access helps me organize that data. InfoPath is similar to MS Access in that you can create forms for data entry, but it does not include …
Effective solution around data even when it comes to real time info. Knowing you can access the data from any country is effective solution to extract the info needed.
I can only compare it with Exasol, which I have used a similar base, which manages the Hadoop scheme and is very similar to SingleStore. SingleStore has many advantages: being in the cloud, with just a couple of clicks I can increase the capacity, the configuration is super …
first of all SingleStoreis a cluster with high availability and easy to use. you need to design you tables / procedures such in a way that your SingleStore perform well and with handle heavy load
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No …
SingleStore (memsql) out performs based on our analysis with sample data sets within org. We could see limitations with other products which SingleStore can overcall like scaling with data while performing with similar SLA. It also has the advantage of row store and column …
SingleStore outperforms Snowflake in real-time analytics and transactional workloads but lags in large-scale batch processing. Compared to MongoDB Atlas, SingleStore excels in complex SQL queries and joins, while MongoDB handles unstructured, document-based data better. Its …
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum.
Gemfire was not scaling well like SingleStore. Support of both …
We previously used Bigquery for our application, and a single store gave us very good performance over Bigquery. But the comparison is not apples to apples, as Bigquery is more of a data warehousing solution.
SingleStore is just a bigger engine with more capability. Its ability to handle larger data sets with ease is its biggest advantage. These other database solutions are great for smaller scale projects that don't include large data sets but Singlestore greatly out performs in …
It has more APIs and other access methods. It has a multi-version concurrency control (MVCC) Distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in …
Its easier to query and faster. Ingestion is for the most part easier to understand and monitor and directly integrated with other storage solution products we use such as AWS S3. Singlestore overall is a better database to serve up an application large amounts of data very …
SingleStore is built for fast data ingestion and fast queries against large tables (> billions of rows). This is possible because of the column store engine that SingleStore uses. SingleStore also support a memory engine. Pipelines is also another big advantage. Being able to …
We knew early on that MySQL (Amazon Aurora) would not be suitable for this workload as it cannot query our time series data as fast as SingleStore. We also use MongoDB Atlas for another application but we could not achieve the raw speed we saw from SingleStore. Our technical …
We were initially using AWS Aurora which worked well at the time but as we grew it just felt like a lumbering beast - even with tier upgrades. We started looking at caching & search options to help make searches faster - we were already using redis. We looked at and even …
Timescale was the biggest alternative option we looked at for SingleStore, however the requirement to learn a new syntax (due to not being SQL compatible) was our biggest pain point.
Supporting a new language would require alterations to the Laravel framework, as this only …
SingleStore provides an abstraction layer in managing a sharded database solution reducing complexity for the FLOWD team. Coupled with the SingleStore Managed Service, we are partnering with SingleStore to provide FLOWD services to various utilities & councils.
SingleStore is eons faster than other database providers, and it absolutely crushes calculations & aggregations. While other providers may have a few quality of life enhancements over SingleStore, the speed benefits of SS far outweigh the cons. At the end of the day, speed …
Microsoft Access can be easily implemented with training. It doesn't require expert level skill for basic reporting functions - but can be scaled to a complex database with sophisticated users. Its appropriate to consider if excel needs to be used to create reports, or if there are data entry needs - with corresponding reports.
Well-Suited Scenarios: Real-Time Analytics: Financial trading platforms requiring instant insights. Operational Dashboards: Retail businesses monitoring live sales. IoT Data Processing: Smart device monitoring with high data ingestion. Fraud Detection: Banks detect suspicious transactions instantly. Less Appropriate Scenarios: Archival Storage: Cold data storage with infrequent access. Low-Volume Workloads: Small-scale apps with minimal data processing needs. Complex ETL Pipelines: Heavy data transformations without real-time demands.
It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
Support engineers lack expertise, but they seem to be improving organically.
Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
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.
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.
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
Solutions are based around a business needs and even when implementing such solution, real time insights are also followed through showing the updates the business are implementing while informing the end users as what is new with technology.
When it comes to ingestion speed, SingleStore is probably at the top. Being able to create pipelines using SQL to ingest data from S3, Kafka, and other sources, is a great advantages. This means you can dynamically ingest data by customizing your SQL queries. SingleStore pipelines are pretty sophisticated, yet very simple. Few lines of codes and you are ingesting data, while still able to perform analytical queries on your billions of row tables.
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 deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
Microsoft Access is used independently of Microsoft's Office suite (also in use) at our company - the usual applications: Word, Excel, Outlook, etc. and does not really overlap. Microsoft Access was selected as a simple, functional inventory database based on ease of data entry, search functionality and avoiding the need for a separate ERP module.
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No need for ETL processes, unlike BigQuery & Snowflake. Works with JSON, relational, and key-value data, unlike ClickHouse.
Lower operational complexity - Installation and maintenance is pretty easy
Object scale when used can compete with Traditional Warehouse Systems like Teradata, Netezza, Greenplum
Adds lot of value to the business like couple of operations which never worked in traditional DBMS including HANA, Oracle In Memory, SQL Server In Memory just flew in SingleStore