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6 Ratings
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Score 8 out of 101
49 Ratings
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Score 6.5 out of 101

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Likelihood to Recommend

Aerospike Database

Compared to Redis and memcacheD, high availibity is best from Aerospike. Load balancing is also well done through Aerospike. If you're doing K/V lookups data exceeds more than 1MB, then Aerospike definitely fits the bill. However, it is not best as a document store. It is really atrocious in that nature. If anything look @ Mongo or something else then.
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IBM Cloudant

The solution to store claims information worked for us, but the enterprise NoSQL market has expanded so much that we might not [have] used Cloudant had an alternative been available. Make sure you ask about ACID compliance and about what the difference between NoSQL and SQL databases are to that the IT managers understand why they are buying and how that differs from data solutions they've bought in the past.
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Pros

  • Scales really quickly and easily. Can deploy a new cluster or add to a cluster fairly quick.
  • MGMT UI is easy to use. Utilizing cli, makes it easy to "autoscale" for us.
  • The sharding removes any need to overlook to make sure if balanced correctly.
  • HA is dead simple, that almost little to no need figure out how to do it.
Anson Abraham profile photo
  • We had a small data mart project that required the storage of some rather highly connected data that also had a relatively small footprint. This made IBM Cloudant an obvious choice because we could store the data in a data structure that met our project need al while using a platform that our web development team understood and was comfortable with.
  • We had a bunch of geospatial data that we needed for analysis. Having GeoJSON being natively supported by Cloudant made it an easy choice.
  • Cloudant was cloud-based and didn't require a DBA support it, this allowed the project to move ahead without pushback from the infrastructure team.
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Cons

  • Load balancing per network segments.
  • Reduction in price.
  • Cross datacenter replication usage isn't so straightforward. Sometimes cross dc replication can have issues of bad data..
Anson Abraham profile photo
  • It was only after we went with the cloud-based solution that IBM rolled out an on-premise version.
  • We found that a 3rd-party ODBC driver was required for a few applications that needed to pull data out of Cloudant.
  • The sales process was difficult because the salesperson we used was not as versed on Cloudant as I had hoped.
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Likelihood to Renew

Aerospike Database8.0
Based on 1 answer
If money isn't an issue, and you're not on the cloud, then I'd go with Aerospike. If you're the cloud ie, aws or azure, then i'd stick with dynamoDB or Cosmos then. Aerospike is definitely not something you want to put into the cloud. It doesn't work well w/ cross regions. If cross DC, you'll have to write some stuff for data integrity checks.
Anson Abraham profile photo
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Usability

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IBM Cloudant7.7
Based on 5 answers
Because it's very intuitive, if you a familiar with the core CouchDB concepts.
Nicolas Peeters profile photo

Support

No score
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IBM Cloudant7.8
Based on 3 answers
Very happy by the commitment given by the team (and specifically, our dedicated support account director: Chris Snow)
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Implementation

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IBM Cloudant8.8
Based on 4 answers
The performance and cost are both over our expectations
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Alternatives Considered

Compared to the above for K/V lookups and writes, it is faster. However, less than 1 MB, i'd use Redis, if you're willing to write package for HA in Redis. However HA between Redis and aerospike, aerospike is top notch. K/V lookups were 20-30% faster than Redis, 50% faster than Mongo, and 45% faster than Cassandra. But again, aerospike is really expensive.
Anson Abraham profile photo
We chose Cloudant because it was fully managed and used in the marketplace, unlike MongoDB was at the time, and it supported JSON which SQL Server 2016 didn't.
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Scalability

No score
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IBM Cloudant8.6
Based on 21 answers
The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.
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Return on Investment

  • Less mgmt headaches, prompting time to focus on other issues.
  • HA, required little handholding. And minimization of downtime.
  • Cross region replication is not great, which sometimes requires data integrity checks on your end.
Anson Abraham profile photo
  • Cloudant allowed us to implement a project faster due to it being fully managed and basically a plug-and-play type data store.
  • Being fully managed meant that we spent a fair bit of time on the phone yelling at IBM Support because they didn't know jack about how to solve the issues we ran into/
  • Overall Cloudant worked for us because the project timeline and budget allowed for more money to be spent on services rather than hardware (OpEx vs CapEx).
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Pricing Details

Aerospike Database

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Aerospike Database More Information

IBM Cloudant

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details
There is never a charge for the first $50 of usage each month. After that, data volume is charged at $1 per GB/month, "heavy" API requests (PUTs, POSTs, DELETEs) are charged at $0.015 per 100 each month, and "light" API requests (GETs, HEADs) are charged at $0.015 per 500 each month. API requests that read or write multiple JSON docs in bulk count as 1 API request.

IBM Cloudant More Information