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DBMS > Amazon SimpleDB vs. Google Cloud Bigtable vs. KairosDB vs. Oracle Berkeley DB vs. Splunk

System Properties Comparison Amazon SimpleDB vs. Google Cloud Bigtable vs. KairosDB vs. Oracle Berkeley DB vs. Splunk

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKairosDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Time Series DBMS based on Cassandra or H2Widely used in-process key-value storeAnalytics Platform for Big Data
Primary database modelKey-value storeKey-value store
Wide column store
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­simpledbcloud.google.com/­bigtablegithub.com/­kairosdb/­kairosdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.splunk.com
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigtable/­docskairosdb.github.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleSplunk Inc.
Initial release20072015201319942003
Current release1.2.2, November 201818.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infoonly with the Berkeley DB XML editionyes
Secondary indexesyes infoAll columns are indexed automaticallynonoyesyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is availableno infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Graphite protocol
HTTP REST
Telnet API
HTTP REST
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes
Triggersnononoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on CassandraSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic single-row operationsnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlnoAccess rights for users and roles

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More resources
Amazon SimpleDBGoogle Cloud BigtableKairosDBOracle Berkeley DBSplunk
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