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DBMS > ArcadeDB vs. GridDB vs. Memgraph vs. Microsoft Azure Synapse Analytics

System Properties Comparison ArcadeDB vs. GridDB vs. Memgraph vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGridDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable in-memory time series database optimized for IoT and Big DataAn 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 Server
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSGraph DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitearcadedb.comgriddb.netmemgraph.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.arcadedb.comdocs.griddb.netmemgraph.com/­docsdocs.microsoft.com/­azure/­synapse-analytics
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperArcade DataToshiba CorporationMemgraph LtdMicrosoft
Initial release2021201320172016
Current releaseSeptember 20215.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++
Server operating systemsAll OS with a Java VMLinuxLinuxhosted
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes inforelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes 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 controlAccess rights for users can be defined per databaseUsers, roles and permissionsyes
More information provided by the system vendor
ArcadeDBGridDBMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
ArcadeDBGridDBMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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