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DBMS > etcd vs. GBase vs. Heroic vs. NebulaGraph vs. Valentina Server

System Properties Comparison etcd vs. GBase vs. Heroic vs. NebulaGraph vs. Valentina Server

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGBase  Xexclude from comparisonHeroic  Xexclude from comparisonNebulaGraph  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed reliable key-value storeWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed, linear scalable, high perfomant Graph DBMSObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gbase.cngithub.com/­spotify/­heroicgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.valentina-db.net
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
spotify.github.io/­heroicdocs.nebula-graph.iovalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeneral Data Technology Co., Ltd.SpotifyVesoft Inc.Paradigma Software
Initial release2004201420191999
Current release3.4, August 2019GBase 8a, GBase 8s, GBase 8c5.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0 + Common Clause 1.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeStrong typed schemayes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnono
Secondary indexesnoyesyes infovia Elasticsearchyes 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.yes
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like query languageyes
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
C API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
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
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#.Net
C++
Go
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functionsyes
Triggersyes, watching key changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyesCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoyesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
etcdGBaseHeroicNebulaGraphValentina Server
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
etcdGBaseHeroicNebulaGraphValentina Server
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