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DBMS > Google Cloud Bigtable vs. HBase vs. OrigoDB vs. Qdrant

System Properties Comparison Google Cloud Bigtable vs. HBase vs. OrigoDB vs. Qdrant

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableA fully ACID in-memory object graph databaseA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value store
Wide column store
Wide column storeDocument store
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitecloud.google.com/­bigtablehbase.apache.orgorigodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlorigodb.com/­docsqdrant.tech/­documentation
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetRobert Friberg et alQdrant
Initial release201520082009 infounder the name LiveDB2021
Current release2.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#Rust
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROUser defined using .NET types and collectionsNumbers, 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 infocan be achieved using .NETno
Secondary indexesnonoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
.NET Client API
HTTP API
LINQ
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Source-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based authorizationKey-based authentication

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More resources
Google Cloud BigtableHBaseOrigoDBQdrant
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