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DBMS > Amazon DocumentDB vs. HugeGraph vs. InfluxDB vs. jBASE vs. Tkrzw

System Properties Comparison Amazon DocumentDB vs. HugeGraph vs. InfluxDB vs. jBASE vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonjBASE  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsA robust multi-value DBMS comprising development tools and middlewareA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeGraph DBMSTime Series DBMSMultivalue DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasedbmx.net/­tkrzw
Technical documentationaws.amazon.com/­documentdb/­resourceshugegraph.apache.org/­docsdocs.influxdata.com/­influxdbdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperBaiduRocket Software (formerly Zumasys)Mikio Hirabayashi
Initial release20192018201319912020
Current release0.92.7.6, April 20245.70.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemshostedLinux
macOS
Unix
Linux
OS X infothrough Homebrew
AIX
Linux
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsoptionalno
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.nononoyesno
Secondary indexesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonoSQL-like query languageEmbedded SQL for jBASE in BASICno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)via hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes infoDepending on used storage engineyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionssimple rights management via user accountsAccess rights can be defined down to the item levelno
More information provided by the system vendor
Amazon DocumentDBHugeGraphInfluxDBjBASETkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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