Formerly from Magnitude Software and now from Insightsoftware, Angles is a solution to accelerate the distribution of actionable, operational reports and analytics.
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SingleStore
Score 8.3 out of 10
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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.
If you desire to 'empower' employees to create or edit their own reports, Noetix is a great tool, though I am not particularly an 'empowerment' person. In my experience most people have enough work of their own, so to tell them they now have to create their own reports can cause problems. If someone is available, like I am, to create the reports based on user requirements, then the report can be shared with the user and they can make changes as needed. I have several users who use the same report over and over for slightly different applications, and they are happy to make the small alterations, but creating whole new reports can seem like a daunting task. I tell my users I don't want them to become frustrated. If they want to try on their own, fine, but don't waste more than half an hour, and if you start to get frustrated, stop and IM me. Ninety-nine times out of 100 I already have a report that will give them exactly what they need. I've done extensive training, and find it's quite easy for users to pick up
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.
Noetix makes reporting easy. Users can combine vtables (the Noetix term for its views), add or delete columns, add filters or parameters, sort, add totals to columns, all from an easy to use interface. It comes with a very large number of already written reports for all areas of Oracle reporting, but it also allows for custom vtables to be written, for Oracle or any database, to expand the number of available reports.
Noetix has an Excel add-in that is marvelous. It eliminates the need to run a report in the web application and export to Excel. The add-in can run very large reports, up to a million lines. Once a report is run in Excel, it can be saved, and then refreshed whenever needed. It's a really good tool.
Noetix is flexible. Joins can be added to existing Noetix vtables and also to custom vtables, to give users a large amount of data configurations to choose from. It also allows users to create calculated fields to any report.
Noetix is easy to administer. Users can be added or removed and grouped by the level of permission. Although, in our case, it validates against Oracle, the level of security is dictated by Noetix.
I like the fact that the output is standard, but I would like to be able to move columns around on the output screen, rather than having to go back to the editing screen, move the columns, then rerun the report.
Drag and drop of columns would be nice on the edit screen. Currently if you add a column to a report, it automatically goes to the bottom. Relocation of the column has to be done a line at a time. I would prefer to be able to grab the field I want from those available, and drop it into the report where I want it.
When adding a filter (or parameter), the available fields automatically come up in alphabetical order, but on the columns screen, they don't. They come up in the order they actually are in the query. That means, when creating custom vtables, to have the fields in alphabetical order, one must put them that way. It would be nice if Noetix put the fields in alphabetical order for the user.
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.
I believe Noetix is much easier to use than either Crystal Reports or InfoMaker. When I worked with InfoMaker I used to say it took 5 minutes to get the data and 5 hours (and sometimes days) to make it look good. The same can be true for Crystal Reports. Noetix has a standard format, and most people export to Excel anyway. Who prints reports? So formatting is not all that important.
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.
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.
