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DBMS > Amazon DocumentDB vs. Google Cloud Spanner vs. KeyDB vs. UniData,UniVerse

System Properties Comparison Amazon DocumentDB vs. Google Cloud Spanner vs. KeyDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKeyDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMSKey-value storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­spannergithub.com/­Snapchat/­KeyDB
keydb.dev
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­spanner/­docsdocs.keydb.devdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleEQ Alpha Technology Ltd.Rocket Software
Initial release2019201720191985
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedhostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesoptional
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 indexesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoLuayes
Triggersnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoStrict serializable isolationOptimistic locking, atomic execution of commands blocks and scriptsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control and ACLAccess rights according to SQL-standard and operating system based

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More resources
Amazon DocumentDBGoogle Cloud SpannerKeyDBUniData,UniVerse
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