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DBMS > AgensGraph vs. Memgraph vs. Solr vs. Sqrrl

System Properties Comparison AgensGraph vs. Memgraph vs. Solr vs. Sqrrl

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonMemgraph  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA widely used enterprise search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#267  Overall
#21  Graph DBMS
#126  Relational DBMS
Score0.05
Rank#306  Overall
#29  Graph DBMS
Score56.57
Rank#17  Overall
#3  Search engines
Websitebitnine.netmemgraph.comlucene.apache.org/­solrsqrrl.com
Technical documentationbitnine.net/­documentationdocs.memgraph.comlucene.apache.org/­solr/­resources.html
DeveloperBitnine Global Inc.Memgraph LtdApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201720042012
Current release2.1, December 20188.3.1, December 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoFree license availableOpen Source infoApache Version 2commercial
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 languageCC and C++JavaJava
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemedepending on used data modelschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnono infosupports limited query time joinsno
APIs and other access methodsCypher Query Language
JDBC
Bolt protocol
Cypher query language
Java API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
Java
JavaScript
Python
.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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infodynamic graph partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMulti-Master replication using RAFTcloud/distributed (via Zookeeper)
Master-slave replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoslaves poll the master in predefined intervallsImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationoptimistic locking infoSolr 4Atomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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