What users are saying about
Top Rated
28 Ratings
6 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8 out of 101
Top Rated
28 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.2 out of 101

Add comparison

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

HBase

Suited for storing bulk data in a tabular manner, I would recommend Hadoop HBase, but for a small amount of data, I personally would not suggest the use of this tool. We are moving from a traditional file system to a Hadoop file system, and to store the data in a tabular manner, we are using HBase. As the data is increasing day by day, the need to manage the same is also required, which is incorporated by Hadoop.
Bharadwaj (Brad) Chivukula profile photo

Feature Rating Comparison

NoSQL Databases

Aerospike Database
HBase
8.1
Performance
Aerospike Database
HBase
8.0
Availability
Aerospike Database
HBase
8.0
Concurrency
Aerospike Database
HBase
7.2
Security
Aerospike Database
HBase
7.7
Scalability
Aerospike Database
HBase
8.0
Data model flexibility
Aerospike Database
HBase
9.0
Deployment model flexibility
Aerospike Database
HBase
9.0

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
  • Good write throughput
  • Good horizontal scalability
  • Easy to operate on
Chen Jin 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
  • Better tool for investigating the key-value content for data validation.
  • Better tool for row key monitoring since our key contains timestamps.
  • Better tool for system-level metric monitoring.
Chen Jin 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
HBase8.4
Based on 9 answers
HBase continues to meet our needs, and we look forward to further development on it.
No photo available

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
Cassandra os great for writes. But with large datasets, depending, not as great as HBASE. Cassandra does support parquet now. HBase still performance issues. Cassandra has use cases of being used as time series. HBase, it fails miserably. GeoSpatial data, Hbase does work to an extent. HA between the two are almost the same.
Anson Abraham 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
  • Negative ROI has been on hardware usage. When used frequently, we have had constant disk failures. As a result, it requires HDD replacements.
  • But with disk failures, HA is available, however, to a certain extent.
  • Large datasets helped causality issues to be mitigated.
Anson Abraham 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

HBase

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