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DBMS > atoti vs. Google Cloud Datastore vs. JaguarDB vs. MonetDB vs. Qdrant

System Properties Comparison atoti vs. Google Cloud Datastore vs. JaguarDB vs. MonetDB vs. Qdrant

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonJaguarDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPerformant, highly scalable DBMS for AI and IoT applicationsA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSDocument storeKey-value store
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websiteatoti.iocloud.google.com/­datastorewww.jaguardb.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docswww.jaguardb.com/­support.htmlwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperActiveViamGoogleDataJaguar, Inc.MonetDB BVQdrant
Initial release2008201520042021
Current release3.3 July 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL V3.0Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languagesCRust
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesNumbers, 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 indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query language (GQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2003 with some extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
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
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonusing Google App Enginenoyes, in SQL, C, R
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
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.yesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standardKey-based authentication

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More resources
atotiGoogle Cloud DatastoreJaguarDBMonetDBQdrant
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