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DBMS > Google Cloud Datastore vs. HBase vs. NebulaGraph vs. YTsaurus

System Properties Comparison Google Cloud Datastore vs. HBase vs. NebulaGraph vs. YTsaurus

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHBase  Xexclude from comparisonNebulaGraph  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWide-column store based on Apache Hadoop and on concepts of BigTableA distributed, linear scalable, high perfomant Graph DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeWide column storeGraph DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitecloud.google.com/­datastorehbase.apache.orggithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
ytsaurus.tech
Technical documentationcloud.google.com/­datastore/­docshbase.apache.org/­book.htmldocs.nebula-graph.ioytsaurus.tech/­docs/­en
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetVesoft Inc.Yandex
Initial release2008200820192023
Current release2.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache License, 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++C++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
LinuxUbuntu
Data schemeschema-freeschema-free, schema definition possibleStrong typed schema
Typing infopredefined data types such as float or dateyes, details hereoptions to bring your own types, AVROyesyes
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.nononono
Secondary indexesyesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Java
PHP
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresusing Google App Engineyes infoCoprocessors in Javauser defined functions
TriggersCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Causal Clustering using Raft protocolyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnoyes
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.Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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 access controlAccess Control Lists
More information provided by the system vendor
Google Cloud DatastoreHBaseNebulaGraphYTsaurus
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
Google Cloud DatastoreHBaseNebulaGraphYTsaurus
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