What users are saying about

Qubole

3 Ratings

Aerospike Database

6 Ratings
Score 7.9 out of 101

Qubole

3 Ratings
Score 6.9 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.
Anson Abraham profile photo

Qubole

I find Qubole is well suited for getting started analyzing data in the cloud without being locked in to a specific cloud vendor's tooling other than the underlying filesystem. Since the data itself is not isolated to any Qubole cluster, it can be easily be collected back into a cloud-vendor's specific tools for further analysis, therefore I find it complementary to any offerings such as Amazon EMR or Google DataProc.
Jordan Moore profile photo

Feature Rating Comparison

NoSQL Databases

Aerospike Database
Qubole
8.3
Performance
Aerospike Database
Qubole
7.0
Availability
Aerospike Database
Qubole
6.0
Concurrency
Aerospike Database
Qubole
8.0
Security
Aerospike Database
Qubole
7.0
Scalability
Aerospike Database
Qubole
10.0
Data model flexibility
Aerospike Database
Qubole
10.0
Deployment model flexibility
Aerospike Database
Qubole
10.0

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
  • From a UI perspective, I find Qubole's closest comparison to Cloudera's HUE; it provides a one-stop shop for all data browsing and querying needs.
  • Auto scaling groups and auto-terminating clusters provides cost savings for idle resources.
  • Qubole fits itself well into the open-source data science market by providing a choice of tools that aren't tied to a specific cloud vendor.
Jordan Moore profile photo

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
  • Providing an open selection of all cloud provider instance types with no explanation as to their ideal use cases causes too much confusion for new users setting up a new cluster. For example, not everyone knows that Amazon's R or X-series models are memory optimized, while the C and M-series are for general computation.
  • I would like to see more ETL tools provided other than DistCP that allow one to move data between Hadoop Filesystems.
  • From the cluster administration side, onboarding of new users for large companies seems troublesome, especially when trying to create individual cluster per team within the company. Having the ability to debug and share code/queries between users of other teams / clusters should also be possible.
Jordan Moore profile photo

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
Qubole6.0
Based on 1 answer
Personally, I have no issues using Amazon EMR with Hue and Zeppelin, for example, for data science and exploratory analysis. The benefits to using Qubole are that it offers additional tooling that may not be available in other cloud providers without manual installation and also offers auto-terminating instances and scaling groups.
Jordan Moore profile photo

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
Qubole was decided on by upper management rather than these competitive offerings. I find that Databricks has a better Spark offering compared to Qubole's Zeppelin notebooks.
Jordan Moore profile photo

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
  • We like to say that Qubole has allowed for "data democratization", meaning that each team is responsible for their own set of tooling and use cases rather than being limited by versions established by products such as Hortonworks HDP or Cloudera CDH
  • One negative impact is that users have over-provisioned clusters without realizing it, and end up paying for it. When setting up a new cluster, there are too many choices to pick from, and data scientists may not understand the instance types or hardware specs for the datasets they need to operate on.
Jordan Moore profile photo

Pricing Details

Aerospike Database

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

Qubole

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