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DBMS > Memgraph vs. Microsoft Azure Synapse Analytics vs. Solr vs. Teradata

System Properties Comparison Memgraph vs. Microsoft Azure Synapse Analytics vs. Solr vs. Teradata

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitememgraph.comazure.microsoft.com/­services/­synapse-analyticssolr.apache.orgwww.teradata.com
Technical documentationmemgraph.com/­docsdocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.htmldocs.teradata.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdMicrosoftApache Software FoundationTeradata
Initial release2017201620061984
Current release9.6.0, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
Data schemeschema-free and schema-optionalyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesSolr Parallel SQL Interfaceyes infoSQL 2016 + extensions
APIs and other access methodsBolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresTransact SQLJava pluginsyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningSharding, horizontal partitioningShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationACIDoptimistic lockingACID
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 permissionsyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
MemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolrTeradata
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
MemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolrTeradata
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