Amazon SimpleDB vs. Apache HBase

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SimpleDB
Score 8.0 out of 10
N/A
Amazon SimpleDB is a non-relational data store and service.
$0
per GB allowance
HBase
Score 7.3 out of 10
N/A
The Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.N/A
Pricing
Amazon SimpleDBApache HBase
Editions & Modules
Machine Utilization
$0.00 for first 25 hours $0.14 per machine hour over 25 hours
per GB allowance
Structured Data Storage
$0.00 for first GB-month $0.25 per GB-month thereafter
per GB allowance
Free Tier
25 SimpleDB Machine Hours and 1 GB of Storage for free each month
per GB allowance
Data Transfer
All data transfer in is $0.00 per GB
per GB allowance
No answers on this topic
Offerings
Pricing Offerings
Amazon SimpleDBHBase
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Amazon SimpleDBApache HBase
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon SimpleDB
-
Ratings
Apache HBase
7.7
5 Ratings
13% below category average
Performance00 Ratings7.15 Ratings
Availability00 Ratings7.85 Ratings
Concurrency00 Ratings7.05 Ratings
Security00 Ratings7.85 Ratings
Scalability00 Ratings8.65 Ratings
Data model flexibility00 Ratings7.15 Ratings
Deployment model flexibility00 Ratings8.25 Ratings
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User Ratings
Amazon SimpleDBApache HBase
Likelihood to Recommend
9.0
(1 ratings)
7.7
(10 ratings)
Likelihood to Renew
-
(0 ratings)
7.9
(10 ratings)
User Testimonials
Amazon SimpleDBApache HBase
Likelihood to Recommend
Amazon AWS
Well suited for: Games, Chat rooms, real time software like corporate events, marathons and so. Anytime and anywhere you could use a NoSQL DB you should think of SimpleDB.
As an arduous AWS user, Amazon SimpleDB easily integrates with EC2 and other AWS module; and if you are not an AWS user, you also have a fantastic tool that will solve the problem for which you are focused.
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Apache
Hbase is well suited for large organizations with millions of operations performing on tables, real-time lookup of records in a table, range queries, random reads and writes and online analytics operations. Hbase cannot be replaced for traditional databases as it cannot support all the features, CPU and memory intensive. Observed increased latency when using with MapReduce job joins.
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Pros
Amazon AWS
  • Flexibility
  • Easy to learn and use
  • AWS integration
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Apache
  • Scalability. HBase can scale to trillions of records.
  • Fast. HBase is extremely fast to scan values or retrieve individual records by key.
  • HBase can be accessed by standard SQL via Apache Phoenix.
  • Integrated. I can easily store and retrieve data from HBase using Apache Spark.
  • It is easy to set up DR and backups.
  • Ingest. It is easy to ingest data into HBase via shell, Java, Apache NiFi, Storm, Spark, Flink, Python and other means.
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Cons
Amazon AWS
  • Non AWS environments
  • Strict storage limit (but well we have DynamoDB for storage issues)
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Apache
  • There are very few commands in HBase.
  • Stored procedures functionality is not available so it should be implemented.
  • HBase is CPU and Memory intensive with large sequential input or output access while as Map Reduce jobs are primarily input or output bound with fixed memory. HBase integrated with Map-reduce jobs will result in random latencies.
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Likelihood to Renew
Amazon AWS
No answers on this topic
Apache
There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.
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Alternatives Considered
Amazon AWS
It integrates beautifully with AWS. In some projects we use SimpleDB while we use DynamoDB for others, according to the characteristics of the project. If the infrastructure is AWS, we always think of one of them.
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Apache
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.
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Return on Investment
Amazon AWS
  • Reduced database administration time
  • Reduced data model analysis time
  • Lower cost of resources in projects in general
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Apache
  • As Hbase is a noSql database, here we don't have transaction support and we cannot do many operations on the data.
  • Not having the feature of primary or a composite primary key is an issue as the architecture to be defined cannot be the same legacy type. Also the transaction concept is not applicable here.
  • The way data is printed on console is not so user-friendly. So we had to use some abstraction over HBase (eg apache phoenix) which means there is one new component to handle.
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