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

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

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonSolr  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 columnsA high-performance vector database with neural network or semantic-based matchingA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelObject oriented DBMSKey-value store
Wide column store
Relational DBMSVector DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
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
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatoti.iocloud.google.com/­bigtablewww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
solr.apache.org
Technical documentationdocs.atoti.iocloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationqdrant.tech/­documentationsolr.apache.org/­resources.html
DeveloperActiveViamGoogleMonetDB BVQdrantApache Software Foundation
Initial release2015200420212006
Current releaseDec2023 (11.49), December 20239.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2
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 languageJavaCRustJava
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesNumbers, Strings, Geo, Booleanyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textyes infoAll search fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infoSQL 2003 with some extensionsnoSolr Parallel SQL Interface
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
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPythonnoyes, in SQL, C, RJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
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 statusCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
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 consistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDoptimistic locking
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-standardKey-based authenticationyes

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More resources
atotiGoogle Cloud BigtableMonetDBQdrantSolr
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