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DBMS > atoti vs. Google Cloud Bigtable vs. Qdrant vs. TypeDB

System Properties Comparison atoti vs. Google Cloud Bigtable vs. Qdrant vs. TypeDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQdrant  Xexclude from comparisonTypeDB infoformerly named Grakn  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 high-performance vector database with neural network or semantic-based matchingTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelObject oriented DBMSKey-value store
Wide column store
Vector DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websiteatoti.iocloud.google.com/­bigtablegithub.com/­qdrant/­qdrant
qdrant.tech
typedb.com
Technical documentationdocs.atoti.iocloud.google.com/­bigtable/­docsqdrant.tech/­documentationtypedb.com/­docs
DeveloperActiveViamGoogleQdrantVaticle
Initial release201520212016
Current release2.28.3, June 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustJava
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumbers, Strings, Geo, Booleanyes
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 indexesnoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingno
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesCollection-level replicationSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 consistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Key-based authenticationyes infoat REST API level; other APIs in progress
More information provided by the system vendor
atotiGoogle Cloud BigtableQdrantTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
atotiGoogle Cloud BigtableQdrantTypeDB infoformerly named Grakn
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