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Score 8 out of 101
88 Ratings
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Score 8.9 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

Elasticsearch

Elasticsearch is the gold standard for text-based search. Across large data sets it performs admirably, and we will certainly make it our first choice search solution in the future. For a use case where needs are simple and regular database queries might suffice, Elasticsearch may or may not provide any benefits.
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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
  • Fast Search through millions of data
  • Uses a very limited storage to store the data - high compression
  • Easy to get started & configure
Tarun Mangukiya 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
  • The documentation could be a bit more detailed and have more examples, especially for advanced functionality.
  • The ability to update/change existing live field mappings would be nice.
  • The ingest pipeline structure is a bit more complicated and confusing than previous implementations for using things like attachment plug-ins.
Josh Kramer 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
Elasticsearch10.0
Based on 1 answer
We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
Aaron Gussman profile photo

Usability

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Elasticsearch10.0
Based on 1 answer
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching.If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
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Implementation

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Elasticsearch9.0
Based on 1 answer
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
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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
The only other competitor we researched was mongo as some of our table information is stored in an XML file, but as we were doing searching we gravitated towards Elasticsearch. We knew mongo had some of the qualifications for what we wanted, but went with Elasticsearch for specifically our searches and actually used Mongo for more DB storage.
David Greenwell 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
  • The first and highest reason for switching to Elasticsearch was to speed up the queries that we had that were running slowly(full text search over millions of records). We had some Oracle searches that were taking upwards to 45 seconds. After switching to Elasticsearch those same exact queries were running under half a second. It was obvious to us what the return on the investment was there.
  • The first thing(unexpected but made sense) that we noticed when switching to elasticsearch was our database servers didn't need as many cores. As you pay for Oracle licensing by cores, this was a huge benefit. We dropped about 6 cores in our Oracle licensing as soon as we could after switching to ES.
  • Since we had such great success with searching one table we decided to include more tables into our searching to help with our database.
David Greenwell 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

Elasticsearch

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