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DBMS > atoti vs. Hazelcast vs. MonetDB vs. Qdrant vs. RavenDB

System Properties Comparison atoti vs. Hazelcast vs. MonetDB vs. Qdrant vs. RavenDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHazelcast  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted in-memory data gridA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelObject oriented DBMSKey-value storeRelational DBMSVector DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteatoti.iohazelcast.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.net
Technical documentationdocs.atoti.iohazelcast.org/­imdg/­docswww.monetdb.org/­Documentationqdrant.tech/­documentationravendb.net/­docs
DeveloperActiveViamHazelcastMonetDB BVQdrantHibernating Rhinos
Initial release2008200420212010
Current release5.3.6, November 2023Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
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 languageJavaJavaCRustC#
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanno
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageyes infoSQL 2003 with some extensionsnoSQL-like query language (RQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonyes infoEvent Listeners, Executor Servicesyes, in SQL, C, Ryes
Triggersyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone infoSource-replica replication available in experimental statusCollection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardKey-based authenticationAuthorization levels configured per client per database

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More resources
atotiHazelcastMonetDBQdrantRavenDB
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