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DBMS > atoti vs. Blazegraph vs. Datomic vs. MonetDB vs. Qdrant

System Properties Comparison atoti vs. Blazegraph vs. Datomic vs. MonetDB vs. Qdrant

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatoti.ioblazegraph.comwww.datomic.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iowiki.blazegraph.comdocs.datomic.comwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperActiveViamBlazegraphCognitectMonetDB BVQdrant
Initial release2006201220042021
Current release2.1.5, March 20191.0.6735, June 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoextended commercial license availablecommercial infolimited edition freeOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, ClojureCRust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesNumbers, 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.nono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)SPARQL is used as query languagenoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonyesyes infoTransaction Functionsyes, in SQL, C, R
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone infoBut extensive use of caching in the application peersSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nofine grained access rights according to SQL-standardKey-based authentication

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More resources
atotiBlazegraphDatomicMonetDBQdrant
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