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DBMS > GridGain vs. MarkLogic vs. PouchDB vs. Teradata Aster

System Properties Comparison GridGain vs. MarkLogic vs. PouchDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOperational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDBPlatform for big data analytics on multistructured data sources and types
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Websitewww.gridgain.comwww.progress.com/­marklogicpouchdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.progress.com/­marklogic/­documentationpouchdb.com/­guides
DeveloperGridGain Systems, Inc.MarkLogic Corp.Apache Software FoundationTeradata
Initial release2007200120122005
Current releaseGridGain 8.5.111.0, December 20227.1.1, June 2019
License infoCommercial or Open Sourcecommercial, open sourcecommercial inforestricted free version is availableOpen Sourcecommercial
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 languageJava, C++, .Net, Python, REST, SQLC++JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-free infoSchema can be enforcedschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyesnoyes infoin Aster File Store
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL92noyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScriptView functions in JavaScriptR packages
Triggersyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Role-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standard

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More resources
GridGainMarkLogicPouchDBTeradata Aster
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Conferences, events and webinars

Progress MarkLogic World
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