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DBMS > Memgraph vs. Solr vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

System Properties Comparison Memgraph vs. Solr vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonSolr  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jA widely used distributed, scalable search engine based on Apache LucenePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMSSearch engineRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitememgraph.comsolr.apache.orgwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationmemgraph.com/­docssolr.apache.org/­resources.htmldocs.tigergraph.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdApache Software FoundationTeradata
Initial release20172006200520172009
Current release9.5.0, February 2024
License infoCommercial or Open Sourcecommercial infoFree license availableOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++Java
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyesyes
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.noyesyes infoin Aster File Storenono
Secondary indexesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceyesSQL-like query language (GSQL)no
APIs and other access methodsBolt protocol
Cypher query language
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresJava pluginsR packagesyesno
Triggersyes infoUser configurable commands triggered on index changesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyes inforelationships in graphsnonoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesno
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlUsers, roles and permissionsyesfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
MemgraphSolrTeradata AsterTigerGraphTinkerGraph
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
MemgraphSolrTeradata AsterTigerGraphTinkerGraph
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