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DBMS > Graph Engine vs. Manticore Search vs. Memgraph vs. Riak KV

System Properties Comparison Graph Engine vs. Manticore Search vs. Memgraph vs. Riak KV

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonManticore Search  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMulti-storage database for search, including full-text search.An open source graph database built for real-time streaming and compatible with Neo4jDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
Key-value store
Search engineGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.23
Rank#301  Overall
#21  Search engines
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.graphengine.iomanticoresearch.commemgraph.com
Technical documentationwww.graphengine.io/­docs/­manualmanual.manticoresearch.commemgraph.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMicrosoftManticore SoftwareMemgraph LtdOpenSource, formerly Basho Technologies
Initial release2010201720172009
Current release6.0, February 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL version 2Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++C and C++Erlang
Server operating systems.NETFreeBSD
Linux
macOS
Windows
LinuxLinux
OS X
Data schemeyesFixed schemaschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.noCan index from XMLnono
Secondary indexesyes infofull-text index on all search fieldsrestricted
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Bolt protocol
Cypher query language
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
F#
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.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
Server-side scripts infoStored proceduresyesuser defined functionsErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infodynamic graph partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryMulti-source replication using RAFTselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoThe original contents of fields are not stored in the Manticore index.yes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoUsers, roles and permissionsyes, using Riak Security
More information provided by the system vendor
Graph Engine infoformer name: TrinityManticore SearchMemgraphRiak KV
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
Graph Engine infoformer name: TrinityManticore SearchMemgraphRiak KV
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