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DBMS > Amazon DocumentDB vs. HarperDB vs. Infobright vs. Microsoft Azure Table Storage

System Properties Comparison Amazon DocumentDB vs. HarperDB vs. Infobright vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHarperDB  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeDocument storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Websiteaws.amazon.com/­documentdbwww.harperdb.ioignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.harperdb.io/­docs
DeveloperHarperDBIgnite Technologies Inc.; formerly InfoBright Inc.Microsoft
Initial release2019201720052012
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC
Server operating systemshostedLinux
OS X
Linux
Windows
hosted
Data schemeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 indexesyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infothe nodes on which a table resides can be definedSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights based on private key authentication or shared access signatures

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More resources
Amazon DocumentDBHarperDBInfobrightMicrosoft Azure Table Storage
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