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DBMS > Dgraph vs. MarkLogic vs. Netezza vs. Tarantool

System Properties Comparison Dgraph vs. MarkLogic vs. Netezza vs. Tarantool

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitedgraph.iowww.progress.com/­marklogicwww.ibm.com/­products/­netezzawww.tarantool.io
Technical documentationdgraph.io/­docswww.progress.com/­marklogic/­documentationwww.tarantool.io/­en/­doc
DeveloperDgraph Labs, Inc.MarkLogic Corp.IBMVK
Initial release2016200120002008
Current release11.0, December 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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 languageGoC++C and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux infoincluded in applianceBSD
Linux
macOS
Data schemeschema-freeschema-free infoSchema can be enforcedyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesFull-featured ANSI SQL support
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP 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
JDBC
ODBC
OLE DB
Open binary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyesLua, C and SQL stored procedures
Triggersnoyesnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesSource-replica replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlno infoPlanned for future releasesRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DgraphMarkLogicNetezza infoAlso called PureData System for Analytics by IBMTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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