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DBMS > atoti vs. Google Cloud Bigtable vs. MonetDB vs. openGemini vs. Qdrant

System Properties Comparison atoti vs. Google Cloud Bigtable vs. MonetDB vs. openGemini vs. Qdrant

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonopenGemini  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A relational database management system that stores data in columnsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSKey-value store
Wide column store
Relational DBMSTime Series 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatoti.iocloud.google.com/­bigtablewww.monetdb.orgwww.opengemini.org
github.com/­openGemini
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iocloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationdocs.opengemini.org/­guideqdrant.tech/­documentation
DeveloperActiveViamGoogleMonetDB BVHuawei and openGemini communityQdrant
Initial release2015200420222021
Current releaseDec2023 (11.49), December 20231.1, July 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 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 languageJavaCGoRust
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesInteger, Float, Boolean, 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 indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infoSQL 2003 with some extensionsSQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnoyes, in SQL, C, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAdministrators and common users accountsKey-based authentication

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More resources
atotiGoogle Cloud BigtableMonetDBopenGeminiQdrant
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