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DBMS > Apache IoTDB vs. ArcadeDB vs. Memgraph vs. Quasardb

System Properties Comparison Apache IoTDB vs. ArcadeDB vs. Memgraph vs. Quasardb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonArcadeDB  Xexclude from comparisonMemgraph  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn open source graph database built for real-time streaming and compatible with Neo4jDistributed, high-performance timeseries database
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteiotdb.apache.orgarcadedb.commemgraph.comquasar.ai
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.arcadedb.commemgraph.com/­docsdoc.quasar.ai/­master
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software FoundationArcade DataMemgraph Ltdquasardb
Initial release2018202120172009
Current release1.1.0, April 2023September 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLSQL-like query languageSQL-like query language, no joinsnoSQL-like query language
APIs and other access methodsJDBC
Native API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Bolt protocol
Cypher query language
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infodynamic graph partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication using RAFTSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID 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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlyesUsers, roles and permissionsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache IoTDBArcadeDBMemgraphQuasardb
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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Apache IoTDBArcadeDBMemgraphQuasardb
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