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DBMS > Memgraph vs. Riak KV vs. Teradata vs. XAP

System Properties Comparison Memgraph vs. Riak KV vs. Teradata vs. XAP

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)High performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#292  Overall
#26  Graph DBMS
Score5.92
Rank#63  Overall
#9  Key-value stores
Score76.39
Rank#14  Overall
#9  Relational DBMS
Score1.00
Rank#168  Overall
#26  Document stores
#31  Key-value stores
Websitememgraph.comriak.com/­products/­riak-kvwww.teradata.comwww.gigaspaces.com/­products/­xap
Technical documentationdocs.memgraph.comdocs.teradata.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperMemgraph LtdBasho TechnologiesTeradataGigaspaces Technologies
Initial release2017200919842000
Current release2.1.0, April 2015Teradata Vantage 1.0 MU2, January 201914.5.0, June 2019
License infoCommercial or Open Sourcecommercial infoFree license availableOpen Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ErlangJava, C++, .Net
Server operating systemsLinuxLinux
OS X
hosted
Linux
Linux
macOS
Solaris
Windows
Data schemeschema-free and schema-optionalschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsSQL-like query language and DML statements
APIs and other access methodsBolt protocol
Cypher query language
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresJavaScript and Erlangyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes infopre-commit hooks and post-commit hooksyesyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningSharding infono "single point of failure"Sharding infoHashingSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes inforelationships in graphsno infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsnofine grained access rights according to SQL-standardRole-based access control

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