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DBMS > Amazon DocumentDB vs. BigObject vs. Kinetica vs. Vitess

System Properties Comparison Amazon DocumentDB vs. BigObject vs. Kinetica vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonKinetica  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesFully vectorized database across both GPUs and CPUsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­documentdbbigobject.iowww.kinetica.comvitess.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iodocs.kinetica.comvitess.io/­docs
DeveloperBigObject, Inc.KineticaThe Linux Foundation, PlanetScale
Initial release2019201520122013
Current release7.1, August 202115.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
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, C++Go
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoLuauser defined functionsyes infoproprietary syntax
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes infotable locks or row locks depending on storage engine
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DocumentDBBigObjectKineticaVitess
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