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DBMS > Amazon DocumentDB vs. EsgynDB vs. Google Search Appliance vs. Riak KV

System Properties Comparison Amazon DocumentDB vs. EsgynDB vs. Google Search Appliance vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Distributed, fault tolerant key-value store
Primary database modelDocument storeRelational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#27  Document stores
Score0.16
Rank#265  Overall
#125  Relational DBMS
Score2.81
Rank#91  Overall
#10  Search engines
Score5.39
Rank#59  Overall
#9  Key-value stores
Websiteaws.amazon.com/­documentdbesgyn.comenterprise.google.com/­search/­products/­gsa.htmlbasho.com/­products/­riak-kv
Technical documentationaws.amazon.com/­documentdb/­resourcesesgyn.com/­developerssupport.google.com/­gsa
DeveloperEsgynGoogleBasho Technologies
Initial release2019201520022009
Current release2.1.0, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaErlang
Server operating systemshostedLinuxLinux
OS X
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nononono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLnoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Administrative API
Browser interface
HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/ADO.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored ProceduresJavaScript and Erlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-master replication between multi datacentersMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardUser authentication via various security protocolsno
More information provided by the system vendor
Amazon DocumentDBEsgynDBGoogle Search ApplianceRiak KV
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBEsgynDBGoogle Search ApplianceRiak KV
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