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.
$0.69
per hour
SAP SQL Anywhere
Score 7.0 out of 10
N/A
SAP®
SQL Anywhere® solutions aim to deliver enterprise-level data management and
synchronization capabilities. The solutions are designed to run in remote and
mobile environments on a wide range of small-footprint devices and in
real-world conditions.
Good for Applications needing instant insights on large, streaming datasets. Applications processing continuous data streams with low latency. When a multi-cloud, high-availability database is required When NOT to Use Small-scale applications with limited budgets Projects that do not require real-time analytics or distributed scaling Teams without experience in distributed databases and HTAP architectures.
SAP SQL Anywhere is better than not using a database, let's be clear there! However, I wouldn't pick it as my first or even second or third choice. I'd recommend looking at other options. Largely, it appears less powerful both in terms of its robustness and general performance and in its implementation of SQL. The standard Sybase utilities provided are lacking in basic features, and the interactive SQL utility is quite horrendous. However, the great thing is it is an ODBC-compliant SQL-compliant relational database.
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.
[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.
SingleStore excels in real-time analytics and low-latency transactions, making it ideal for operational analytics and mixed workloads. Snowflake shines in batch analytics and data warehousing with strong scalability for large datasets. SingleStore offers faster data ingestion and query execution for real-time use cases, while Snowflake is better for complex analytical queries on historical data.
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.
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 Greenplum and Gemfire was not good. Product team did not help us much like the ones in SingleStore who helped us getting started on our first cluster very fast.
I worked with Oracle for years during my career. I wouldn't select SQL Anywhere to implement a global ATM system with tens of thousands of concurrent connections, but SQL Anywhere is much easier to use and deploy and works very well in workgroup settings. Query performance often exceeds some Oracle versions without having to rely on database tuning.
As the overall performance and functionality were expanded, we are able to deliver our data much faster than before, which increases the demand for data.
Metadata is available in the platform by default, like metadata on the pipelines. Also, the information schema has lots of metadata, making it easy to load our assets to the data catalog.
Skilled/experienced resources are less prominent than Microsoft SQL Server or even Oracle, or MySQL, so finding solutions and assistance, if needed, takes more time than it would with other platforms
You will need to find a good SQL query tool by yourself because the Sybase Central / Interactive SQL utilities are lacking in many basic features, and just generally have a bad user interface
