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DBMS > ArcadeDB vs. atoti vs. NSDb vs. Qdrant

System Properties Comparison ArcadeDB vs. atoti vs. NSDb vs. Qdrant

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonatoti  Xexclude from comparisonNSDb  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Object oriented DBMSTime Series DBMSVector 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
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitearcadedb.comatoti.ionsdb.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.arcadedb.comdocs.atoti.ionsdb.io/­Architectureqdrant.tech/­documentation
DeveloperArcade DataActiveViamQdrant
Initial release202120172021
Current releaseSeptember 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageJavaJavaJava, ScalaRust
Server operating systemsAll OS with a Java VMLinux
macOS
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringNumbers, Strings, Geo, Boolean
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 indexesyesall fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query language, no joinsMultidimensional Expressions (MDX)SQL-like query languageno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesJavaJava
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlKey-based authentication

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More resources
ArcadeDBatotiNSDbQdrant
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