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.
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 …
SingleStore provides performance for real-time data analytics application where as Snowflake is more for data engineers and not fast enough for real-time data analytics apps.
As I said before, we felt that running queries on BigQuery for every query is really slow, especially from an user point of view. After seeing the drastically improved latency of SingleStore we decided to use to solve this issue. We currently use it to run low volume queries …
You could consider i did use Mysql since i worked with some websites that were using a mysql database. I could not give a side by side comparision since i don't use those like i use the Microsoft SQL , but so far it worked well. I prefer Microsoft SQL due to support and info …
UI of the Microsoft SQL Server makes it easy to use and learn. The better technical support and documentation give it an extra edge over other databases. The Microsoft ecosystem provides additional advantages, as we can seamlessly use other Microsoft products, such as Power …
Microsoft SQL Server is faster and more compatible, but it does cost more, so you're paying for those features. I use the others in many other places where critical transaction processing time and compatibility aren't of great concern.
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 …
The first database application taught when I was in school was Microsoft SQL Server. Microsoft SQL Server was used where I first started, so I had the opportunity to improve myself in MySQL. SQL is also used in my current workplace. It is widely used in very large projects due …
We have a few different DB's in the organization, including: Pervasive, Oracle, Db2, MySQL. Many of them are of limited use for one specific application. These don't really compare to MS SQL server. Oracle is heavy and cumbersome and overkill for smaller apps. Pervasive - …
Microsoft SQL Server is a comprehensive solution as transactional database, data warehouse, analytics, reporting, and ETL. It also integrates with the cloud well (Azure). The ease of use and setup makes this better than Oracle Database because the query syntax is also different …
I think both tools are really powerful and close to each other but since I moved to Europe I realized that most of the companies have been using SQL Server which in my opinion means something. The support from Microsoft I also consider a bit better and you can also find more …
Microsoft was the original creator of the SQL database, and thus, they still rule the market and drive innovation when it comes to data warehousing systems. It's comparable in price and allows you to retain the structured datasets that you lose when you change to a NoSQL …
[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.
Microsoft SQL Server and Oracle are both extremely powerful and scalable enterprise relational database platforms. Microsoft SQL sets itself apart with its ease of use and licensing and support model. Microsoft is good company to work with and they provide clear and …
It just boils down to why learn anther product when you are going to run across it so seldom. Developers determine what database engine I am going to need so I just tend to pick products for implementation that use a well know product that has lots of support resources …
The most known and widely used competitor of Microsoft SQL is most probably the open-source MySQL. If given the choice I would personally choose MySQL over Microsoft's SQL Server, mainly because it is totally free and open source, but also because it integrates better with …
[Microsoft SQL Server] offers a full solution, Inhouse Applications and hosted application continue to use SQL as backend database. Allows easy creation of development environments and continuous feature release.
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 …
Native to Windows and being required for other MS apps puts it above others in terms of usage. If we were not heavily dependent on Microsoft applications or OS, we might have considered other database solutions. It's an expensive solutions but it is a solid reliable solution. …
I was not too impressed with Oracle. Following the manual prohibited installation. They did provide a phone number and explained the manual was wrong and provided me with the correct information with which I was able to install the product. This was awhile back and I do not …
Microsoft SQL Server is one of the fastest RDBMS systems available in the market. Pricing is a bit on the higher side but all the features it provides pretty much justifies it. It can be integrated with a large number of frameworks thus enabling to work on multiple frameworks …
Microsoft SQL Server is still the industry standard for the type of development we do, and the types of applications that we use. Almost every developer or analyst we hire has at least a reasonable grounding in the use of SQL servers, and it is almost universally compatible …
We stopped looking at alternatives to Microsoft SQL Server a long time ago simply because it meant only having one DBMS that we needed to learn and to support. If we were to implement other database solutions that don't run on SQL Server, we would have to spend more time moving …
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.
Microsoft SQL Server is ideal for highly available SQL workloads by using SQL Server Always On availability groups. Microsoft SQL Server might not be appropriate for solutions which require a very low resource footprint, since it requires significant CPU cores and RAM memory as well as high IOPS, always depending on the usage scenario.
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 think it is unlikely that sql server has disappointed someone, it is likely that someone will come initially discouraged if the needs and problems that occur are very challenging, but definitely have a SQL oriented system means having a solid base to work and on which maintain the their data securely
[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.
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.
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.
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 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.
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.
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.
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.
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 tools, like Crystal Reports, support it.
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
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.