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DBMS > GeoSpock vs. HarperDB vs. Microsoft Azure SQL Database vs. Microsoft Azure Table Storage

System Properties Comparison GeoSpock vs. HarperDB vs. Microsoft Azure SQL Database vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Database as a Service offering with high compatibility to Microsoft SQL ServerA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument storeRelational DBMSWide column store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegeospock.comwww.harperdb.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.harperdb.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGeoSpockHarperDBMicrosoftMicrosoft
Initial release201720102012
Current release2.0, September 20193.1, August 2021V12
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptNode.jsC++
Server operating systemshostedLinux
OS X
hostedhosted
Data schemeyesdynamic 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.nonoyesno
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsyesno
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.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#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1Transact SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes, with always 3 replicas availableyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic 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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
GeoSpockHarperDBMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Table Storage
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23 February 2021, ComputerWeekly.com

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