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DBMS > Amazon DocumentDB vs. Datomic vs. Hypertable vs. IRONdb vs. Splunk

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Hypertable vs. IRONdb vs. Splunk

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSplunk  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAnalytics Platform for Big Data
Primary database modelDocument storeRelational DBMSWide column storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­documentdbwww.datomic.comwww.circonus.com/solutions/time-series-database/www.splunk.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comdocs.circonus.com/irondb/category/getting-starteddocs.splunk.com/­Documentation/­Splunk
DeveloperCognitectHypertable Inc.Circonus LLC.Splunk Inc.
Initial release20192012200920172003
Current release1.0.6735, June 20230.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histogramsyes
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.nononoyes
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIC++ API
Thrift
HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes, in Luayes
TriggersnoBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelconfigurable replication factor, datacenter awareMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnono
User concepts infoAccess controlAccess rights for users and rolesnononoAccess rights for users and roles

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More resources
Amazon DocumentDBDatomicHypertableIRONdbSplunk
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