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DBMS > ArcadeDB vs. eXtremeDB vs. Memgraph vs. Spark SQL

System Properties Comparison ArcadeDB vs. eXtremeDB vs. Memgraph vs. Spark SQL

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMemgraph  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source graph database built for real-time streaming and compatible with Neo4jSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMS
Time Series DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitearcadedb.comwww.mcobject.commemgraph.comspark.apache.org/­sql
Technical documentationdocs.arcadedb.comwww.mcobject.com/­docs/­extremedb.htmmemgraph.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperArcade DataMcObjectMemgraph LtdApache Software Foundation
Initial release2021200120172014
Current releaseSeptember 20218.2, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C and C++Scala
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query language, no joinsyes infowith the option: eXtremeSQLnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Bolt protocol
Cypher query language
JDBC
ODBC
Supported programming languagesJava.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesno
Triggersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infodynamic graph partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, 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.yesyesno
User concepts infoAccess controlUsers, roles and permissionsno
More information provided by the system vendor
ArcadeDBeXtremeDBMemgraphSpark SQL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
You can check out our pricing model and licenses on the company website .
» more

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ArcadeDBeXtremeDBMemgraphSpark SQL
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