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DBMS > GridDB vs. HarperDB vs. MarkLogic vs. PlanetScale

System Properties Comparison GridDB vs. HarperDB vs. MarkLogic vs. PlanetScale

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHarperDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHarperDB 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.Operational and transactional Enterprise NoSQL databaseScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelTime Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score1.09
Rank#178  Overall
#82  Relational DBMS
Websitegriddb.netwww.harperdb.iowww.progress.com/­marklogicplanetscale.com
Technical documentationdocs.griddb.netdocs.harperdb.io/­docswww.progress.com/­marklogic/­documentationplanetscale.com/­docs
DeveloperToshiba CorporationHarperDBMarkLogic Corp.PlanetScale
Initial release2013201720012020
Current release5.1, August 20223.1, August 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree community edition availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Node.jsC++Go
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesdynamic schemaschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes 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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like data manipulation statementsyes infoSQL92yes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 proceduresnoCustom Functions infosince release 3.1yes infovia XQuery or JavaScriptyes infoproprietary syntax
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelAtomic execution of specific operationsACID infocan act as a resource manager in an XA/JTA transactionACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesyesyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and rolesRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept infono user groups or roles

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More resources
GridDBHarperDBMarkLogicPlanetScale
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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