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AWS Elasticsearch
All
7
Experiences
Pros
3
Cons
4
Top
Pro
Only small markup from raw instance costs
The mark up is only about 130% of the raw instance cost. This makes is one of the cheapest ES hosting options.
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Con
Monitoring is not good
The dashboards that you get with AWS's ES are not very useful and there's no way to add additional monitoring dashboards.
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Pro
Easy to setup
Integrates nicely with AWS ecosystem. Basically One-click setup of ES clusters.
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Con
You are at your own
Deploy is simple, after you at your own.
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Pro
It is a part of your AWS bill
Very simple to add it if your organization is already charged from AWS.
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Con
Difficult or impossible to configure many options
There is no way to change most of the configs in your ES cluster.
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Con
No support for TCP connectivity that is required by Java clients
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4
0
Amidb
All
6
Experiences
Pros
5
Cons
1
Top
Pro
You can add expiry and notifications to Elasticsearch and Cassandra records in an unified manner
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Con
Not very popular
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Pro
Cheapest option at great quality
While it costs 1000's of dollars per month at other places for a cluster of 3, it runs around $100 @amidb, if you decide it to host it yourself. This is including hosts/bandwidth/transfer and SSD. You will save on other colud nosql databases as cassandra is included. You will also experience savings on cloud file storage costs, and much more....
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Pro
Offers caching of resultsets and other binaries
You can use REST apis to cache your query results and binaries. This combined with a local cache and cdn will make your applications super fast!
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Pro
Offers file uploads, staging and variants
You can associate files to elasticsearch or cassandra rows.
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Pro
End to end solution
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4
0
Morpheus
All
4
Experiences
Pros
4
Top
Pro
FREE Automatic Daily Backups
All ElasticSearch Databases are automatically backed up on a daily basis for FREE. All backups are stored for a minimum of 4 days.
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Pro
Free live replica sets
All ElasticSearch databases come with free live replica sets for fault tolerance and fail over.
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Pro
Single click provisioning
User friendly interface takes less than 20 seconds to provision a new ElasticSearch instance.
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Pro
High performance SSD Based Infrastructure
All ElasticSearch databases run on high performance Solid State Drives (SSD).
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3
0
Searchly
All
5
Experiences
Pros
4
Cons
1
Top
Pro
Heroku Support
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Con
Low config options
Can't set analyzers.
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Pro
Easy integration
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Pro
Support team reacts promptly
Searchly's support teams helps users promptly with their queries.
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Top
Pro
Fast and inexpensive to get started
It is far less expensive than the competition, and it's very easy to get started. You don't need to know anything about cluster size, load balancing, etc., everything is handled for you.
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2
0
Bonsai
All
12
Experiences
Pros
9
Cons
3
Top
Pro
Instant cluster provisioning
Bonsai shared cluster plans are created instantly and charges are prorated to usage, for easy and elastic development and testing clusters.
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Con
They do not support old versions without a 5x price increase
Instead of deciding to drop support for their older versions and cutting people off with an 'end-of-life', Bonsai offers continued support for clients who are unable or unwilling to switch to the latest version. This, however comes at an increased price.
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Pro
Heroku Support
The first Heroku addon provider for Elasticsearch, with good pricing and support for a wide range of development and production cluster types.
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Top
Con
Limited Elasticsearch API on shared plans
Bonsai shared cluster plans take an opinionated approach to multitenancy. They limit user access to some of the low-level administration-oriented APIs for security and stability reasons.
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Pro
High performance SSD based infrastructure
All Elasticsearch databases run on high performance Solid State Drives (SSD).
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Con
No node stats on shared plans
Since users on shared plans have to share the node with other tenants, the stats on the _node/stats endpoint would not be very useful for the single tenant since the reports there are for the whole node.
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Pro
Multi-node clusters by default
All clusters run on at least three nodes (Elasticsearch best practice) for data replication and redundancy.
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Pro
Free developer plans available
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Pro
High availability and uptime
Transparent and reports its uptime here.
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Pro
High level of Lucene expertise
The team also runs Solr as a service (Websolr - the first hosted Solr service) and has a high level of experience and expertise running search as a service.
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Pro
Knowledgeable support team
Experienced developers and engineers answer email support questions thoroughly.
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Pro
Most experienced provider
Bonsai was the first to offer hosted Elasticsearch as a service.
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18
3
Elastic Cloud
All
18
Experiences
Pros
15
Cons
3
Top
Con
Support not satisfactory
Although this is provided by the creators of elastic search, the support is not as effective. It seems they only want you to buy the Gold / Platinum package for support. Even though you clearly give proof to the support personnel that there is something wrong with the provisioning of the cluster do not be surprised if you get a mail back saying "Everything looks fine...blah blah ...consider taking gold/platinum support...blah blah."
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Pro
Scalable
Rather than pricing by number of documents or API calls, they price by instance size. So if you have a lot of documents (>100k) that are very small (50MB), or a large number of shards which are small, you won't be arbitrarily forced into a higher pricing tier. Same deal with number of requests - if you need more memory on your instance, then upgrade. If you have a lot of very fast requests, you can stay on a lower tier.
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Con
Constant sales pitch for their platinum support, even during outage
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Pro
All Elasticsearch features are supported
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Con
Expensive
Typically 0.5-3x the cost of other providers.
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Pro
New versions are available same day as released
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Pro
Extremely stable
This is the official version of hosted ElasticSearch and it's backed by the ElasticSearch developers. This makes it probably the best in terms of stability as far as services that use ElasticSearch as a backend go.
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Pro
Comes with Shield (security), Watcher (alerting) and Marvel (monitoring)
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Pro
Allow uploading custom plugins
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Pro
Includes S3 bucket for snapshot and restore (Automatic Backup every 30 minutes)
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Pro
Free trial available
There's a 14 days-long trial available without any credit card required.
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Pro
Dedicated clusters with reserved memory and storage
Clusters aren't shared, customers get their own dedicated cluster. Memory and storage is reserved - there's no upper limit in terms of indexes or documents to be stored - and Linux containers are used (LXC) for and process and resource isolation, which means you get the memory you are paying for without having to compete for it with other customers.
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Pro
Great support
Supported by the Elasticsearch developers themselves, although they won't respond for days.
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Pro
Easy to work with
Elasticsearch gained its popularity amongst developers by being enjoyable to use. A simple feature comparison against it's competition doesn't convey the significant advantages of just how easy it is to work with. This is due to multiple design choices such as the use of JSON for the API and queries.
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Pro
Allows multiple types of documents per index
Another useful and unique feature to Elasticsearch is the ability to have multiple types of documents in a single index. You can then facet, query or filter against all document types or a single type.
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Pro
Supports cjk plugins
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Pro
Integrates with multiple third-party services
Works marvelously with Tire and Heroku.
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Pro
Includes x-pack
Xpack is plug-in for elastic search and Kibana. It provides features for securing and monitoring your elastic search instance. https://www.elastic.co/products/x-pack
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58
17
Compose
All
3
Experiences
Pros
2
Cons
1
Top
Pro
Low cost
The full service costs $45/month and there is also an option of 30 days free trial.
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Con
Horrible support
Support unhelpful. Their only solution to issues is to upgrade the instance size.
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Pro
Full stats reporting
All statistics are fully aggregated and reported. Nothing is withheld or hidden.
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2
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