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DBMS > GridDB vs. MarkLogic vs. SQream DB vs. VoltDB

System Properties Comparison GridDB vs. MarkLogic vs. SQream DB vs. VoltDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSQream DB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL databasea GPU-based, columnar RDBMS for big data analytics workloadsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitegriddb.netwww.progress.com/­marklogicsqream.comwww.voltdb.com
Technical documentationdocs.griddb.netwww.progress.com/­marklogic/­documentationdocs.sqream.comdocs.voltdb.com
DeveloperToshiba CorporationMarkLogic Corp.SQream TechnologiesVoltDB Inc.
Initial release2013200120172010
Current release5.1, August 202211.0, December 20222022.1.6, December 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaJava, C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X infofor development
Data schemeyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes, ANSI Standard SQL Typesyes
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.noyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92yesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
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
.Net
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptuser defined functions in PythonJava
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneMulti-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 jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsUsers and roles with access to stored procedures
More information provided by the system vendor
GridDBMarkLogicSQream DBVoltDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBMarkLogicSQream DBVoltDB
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