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While improving, backup is still hard to configure Pricing of self-hosted instances Few external documentation resources
application. We are also working on another project to reduce the data storage cost and improve the performance for an IOT company.
outperformed these in speed and performance. However it is more expensive but has been worth the cost so far.
than it helped and had a lot of overhead and cost. We then looked at Algolia which seemed rather expensive to add on top of our current db expenses but … SSO integration was initially challenging - they are already improving this Cost - each tier literally doubles in price. It would be nice if there was some … 16x faster on requests 200…
Lower price plans for their paid solution A longer period of time to use the free credits … experience, than a proprietary language as competitors have) Less up-front cost/spend as a startup, not needing to spend on additional things
Cost effective when compared top other big data solutions (like DynamoDB) … FLOWD started with SingleStore at its core. SingleStore has been providing a cost effective and fast solution for for FLOWD's core data lake.
Query cost is bit higher.
analytical queries, I'd recommend looking else where for a simpler and cheaper database service.
be challenging, particularly for small to medium-sized enterprises. The pricing model, especially when scaling out to accommodate larger data volumes or … or higher transaction rates, can become significant. More flexible pricing options or clearer guidelines on managing and optimizing resources to control … Projects - Not the best fit for project…
Improve customer experience Reduce cost … Very similar offerings. SingleStore promise a faster query speed and better cost structure. Vector databases is anoter offering that is unique to SingleStore
Managed Service Pricing Larger User base … Suited well for application databases. Not best fit for key-value storages.
a separate async analytical database. However, running SingleStore is expensive, it requires a powerful cluster with a lot of RAM. If you don't need to
mixture of data computed dynamically at the time of display and pre-computed values generated when data is ingested. Our software allows users to track the … at Microsoft Azure SQL, MariaDB, Vertica, and RedShift. Our criteria were cost and performance. We also needed compatibility with the Azure cloud…
faster :) However, if you database is relatively small (under 1GB) then the value that SingleStore provides may not be there for you. Yes, even 1GB can take
Currently the costing happens at the configuration level - S2, S4 etc and is hence not fully elastic
Especially in the cloud space, the lesser we use the resources, the more cost-effective SingleStore is perfect for running data analytics workloads due
and with more confidence.It has also allowed us to decrease infrastructure cost. … is if their base managed cluster is too expensive and I don't want to managed it myself … 35% infrastructure cost Huge decrease is data management complexity
perform data quality checks with our ML algorithms. By doing this we saved the cost of maintaining different database systems for our products data and the user
Especially in the cloud space, the lesser we use the resources, the more cost-effective it is.
Results driven product Cost effective satisfaction of the decision-makers lower operational complexity … Price Product Features Prior Experience with the Product
Cost effective Results driven product
I am not certain about the price comparison of SingleStore to other vendors, but definitely, I would recommend
cases. It can scale significantly, although its in-memory usage does mean the cost of scaling to data size is higher, so I believe for very large data sets … Warehouse, PowerBI, Aerospike, etc. From what I've seen MemSQL is well worth the cost when latency and data freshness needs are high, i.e. you need a lot of queries … with very fresh streaming fact and dimensional dat…
is that when there's a need to support more than a few TBs the price is very expensive and therefore it will be harder to use for applications in production … with number of nodes (sometimes extra nodes hurt the performance). Very expensive compared to other databases.
